Phacoemulsification apparatus

Information

  • Patent Grant
  • 11877953
  • Patent Number
    11,877,953
  • Date Filed
    Thursday, December 26, 2019
    4 years ago
  • Date Issued
    Tuesday, January 23, 2024
    3 months ago
Abstract
In one embodiments, a phacoemulsification apparatus includes a phacoemulsification probe including a horn, a needle mounted in the horn and configured for insertion into a lens capsule of a human eye, and a piezoelectric actuator configured to vibrate the horn and the needle and having a resonant frequency, a signal generator configured to generate a drive signal to drive a vibration of the piezoelectric actuator, phase detection circuitry configured to measure a phase difference between: a voltage across the piezoelectric actuator, and a current flowing through the piezoelectric actuator in response to the drive signal, and a controller configured to adjust a frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency.
Description
FIELD OF THE INVENTION

The present invention relates to medical systems, and in particular, but not exclusively to, a phacoemulsification apparatus and associated method.


BACKGROUND

A cataract is a clouding and hardening of the eye's natural lens, a structure which is positioned behind the cornea, iris and pupil. The lens is mostly made up of water and protein and as people age these proteins change and may begin to clump together obscuring portions of the lens. To correct this a physician may recommend phacoemulsification cataract surgery. Before the procedure the surgeon numbs the area with anesthesia. Pressure may also be applied to increase the internal pressure within the eye. This lowers the chances of complications later in the surgery. Then a small incision is made in the cornea of the eye. Fluids are injected into this incision to support the surrounding structures. The anterior surface of the lens capsule is then removed to gain access to the cataract. The surgeon then uses a phacoemulsification probe, which has an ultrasonic handpiece with a titanium or steel needle. The tip of the needle vibrates at ultrasonic frequency to sculpt and emulsify the cataract while a pump aspirates particles from the cataract through the tip. The pump is typically controlled with a microprocessor. The pump may be a peristaltic or a venturi type of pump. Aspirated fluids are replaced with irrigation of a balanced salt solution to maintain the anterior chamber of the eye. After removing the cataract with phacoemulsification, the softer outer lens cortex is removed with suction. An Intraocular Lens (IOL) is introduced with the phacoemulsification probe through its needle into the empty lens capsule and the IOL unfolds. Small struts may hold the IOL in place. Once correctly installed the IOL restores the patient's vision.


US Patent Publication 2015/0148712 to Loven, et al., describes non-contact, medical ultrasound therapy system for generating and controlling low frequency ultrasound. The ultrasound therapy system includes a treatment wand including an ultrasonic transducer, a generator unit, and a cable coupling the treatment wand to the generator unit. The generator unit generates electric power output to drive the ultrasonic transducer and includes a digital frequency generator, wherein the generator unit digitally controls energy output at the resonance frequency of the ultrasonic transducer.


US Patent Publication 2012/0029353 to Slayton, et al., describes a method for an extended field of view treatment. The method can include the steps of imaging a region; targeting a region with directed ultrasound energy; monitoring the region; moving the imaging, treatment, and monitoring region while spatially correlating to one or more prior regions via imaging and/or position sensing; continuing the extended field of view treatment; and, achieving an ultrasound induced biological effect in the extended field of view treatment region.


US Patent Publication 2009/0005712 to Raney describes a method and system for controlling an ultrasonically driven handpiece employable in an ocular surgical procedure. The method includes operating the ultrasonically driven handpiece in a first tip displacement mode, such as a longitudinal mode according to a first set of operational parameters, and enabling a user to alter the ultrasonically driven handpiece to employ a second tip displacement mode, Such as a transversal or torsional mode, using a second set of operational parameters. Enabling the user to alter performance of the handpiece comprises the user being enabled to dynamically select operational parameters for the first tip displacement mode relative to the second tip displacement mode by using, for example, a Switching apparatus such as a foot pedal.


SUMMARY

There is provided in accordance with an exemplary embodiment of the present invention, a phacoemulsification apparatus including a phacoemulsification probe including a horn, a needle mounted in the horn and configured for insertion into a lens capsule of a human eye, and a piezoelectric actuator configured to vibrate the horn and the needle and having a resonant frequency, a signal generator configured to generate a drive signal to drive a vibration of the piezoelectric actuator, phase detection circuitry configured to measure a phase difference between a voltage across the piezoelectric actuator, and a current flowing through the piezoelectric actuator in response to the drive signal, and a controller configured to adjust a frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency.


Further in accordance with an exemplary embodiment of the present invention, the phase detection circuitry includes a first analog multiplier configured to perform a multiplication of the voltage with a reference signal yielding voltage resultant signals, and a second analog multiplier configured to perform a multiplication of the current with the reference signal yielding current resultant signals.


Still further in accordance with an exemplary embodiment of the present invention, the phase detection circuitry also includes a first analog-to-digital convertor configured to sample the voltage resultant signals yielding voltage resultant signal samples, a second analog-to-digital convertor configured to sample the current resultant signals yielding current resultant signal samples, and a phase computation processor configured to compute the phase difference responsively to the voltage resultant signal samples and the current resultant signal samples.


Additionally, in accordance with an exemplary embodiment of the present invention, the apparatus includes a connection in series with the piezoelectric actuator, and a resister disposed in the connection, wherein the second analog multiplier has inputs connected across the resister.


Moreover, in accordance with an exemplary embodiment of the present invention, the reference signal includes the drive signal.


Further in accordance with an exemplary embodiment of the present invention, the phase detection circuitry includes analog multipliers configured to perform a multiplication of the voltage with the current yielding resultant signals, analog-to-digital convertors configured to sample the resultant signals yielding resultant signal samples, and a phase computation processor configured to compute the phase difference responsively to the resultant signal samples.


Still further in accordance with an exemplary embodiment of the present invention, the controller is configured adjust the frequency of the drive signal so as to minimize the measured phase difference based on an optimization algorithm.


Additionally, in accordance with an exemplary embodiment of the present invention, the optimization algorithm includes a gradient descent algorithm.


Moreover, in accordance with an exemplary embodiment of the present invention, the signal generator includes a direct digital synthesizer (DDS) and a class AB amplifier, the DDS being configured to generate the drive signal, the class AB amplifier being configured to amplify the drive signal to power the piezoelectric actuator.


Further in accordance with an exemplary embodiment of the present invention, the piezoelectric actuator includes two different resonance modes having two respective resonant frequencies, the controller being configured to adjust the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at a respective one of the resonant frequencies of a respective selected one of the resonance modes.


Still further in accordance with an exemplary embodiment of the present invention, the resonance modes include a longitudinal resonance mode and a transverse or torsion resonance mode.


There is also provided in accordance with another exemplary embodiment of the present invention, a phacoemulsification method including inserting a needle of a phacoemulsification probe into a lens capsule of a human eye, the probe also including a horn in which the needle is mounted, generating a drive signal to drive a vibration of a piezoelectric actuator having a resonant frequency, the piezoelectric actuator vibrating the horn and the needle, measuring a phase difference between a voltage across the piezoelectric actuator, and a current flowing through the piezoelectric actuator in response to the drive signal, and adjusting a frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency.


Additionally, in accordance with exemplary embodiment of the present invention, the method includes performing a multiplication of the voltage with a reference signal yielding voltage resultant signals, and performing a multiplication of the current with the reference signal yielding current resultant signals.


Moreover, in accordance with an exemplary embodiment of the present invention, the method includes sampling the voltage resultant signal yielding voltage resultant signal samples, sampling the current resultant signal yielding current resultant signal samples, and computing the phase difference responsively to the voltage resultant signal samples and the current resultant signal samples.


Further in accordance with an exemplary embodiment of the present invention, the reference signal includes the drive signal.


The method further including performing a multiplication of the voltage with the current yielding resultant signals, sampling the resultant signals yielding resultant signal samples, and computing the phase difference responsively to the resultant signal samples.


Still further in accordance with an exemplary embodiment of the present invention, the adjusting includes adjusting the frequency of the drive signal so as to minimize the measured phase difference based on an optimization algorithm.


Additionally, in accordance with an exemplary embodiment of the present invention, the optimization algorithm includes a gradient descent algorithm.


Moreover, in accordance with an exemplary embodiment of the present invention, the method includes amplifying the drive signal to power the piezoelectric actuator.


Further in accordance with an exemplary embodiment of the present invention, the piezoelectric actuator includes two different resonance modes having two respective resonant frequencies, wherein the adjusting includes adjusting the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at a respective one of the resonant frequencies of a respective selected one of the resonance modes.


Still further in accordance with an exemplary embodiment of the present invention, the resonance modes include a longitudinal resonance mode and a transverse or torsion resonance mode.





BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing and other features and advantages of the invention will be apparent from the following, more particular description of preferred embodiments of the invention, as illustrated in the accompanying drawings.



FIG. 1 is a partly pictorial, partly block diagram view of a phacoemulsification apparatus constructed and operative in accordance with an exemplary embodiment of the present invention;



FIG. 2 is a flowchart including steps of a method of operation of the apparatus of FIG. 1 in accordance with an exemplary embodiment of the present invention;



FIG. 3 is a schematic view of a phacoemulsification probe for use in the apparatus of FIG. 1 in accordance with an exemplary embodiment of the present invention;



FIG. 4 is a schematic view of control elements in the apparatus of FIG. 1 in accordance with an exemplary embodiment of the present invention;



FIG. 5 is a flowchart including steps in a method of operation of the phase detection circuitry of FIG. 4 in accordance with an exemplary embodiment of the present invention;



FIG. 6 is a flowchart including steps in a method of operation of the microcontroller of FIG. 4 in accordance with an exemplary embodiment of the present invention;



FIG. 7 is schematic view of alternative control elements in the apparatus of FIG. 1 in accordance with an exemplary embodiment of the present invention; and



FIG. 8 is schematic view of second alternative control elements in the apparatus of FIG. 1 in accordance with an exemplary embodiment of the present invention.





DESCRIPTION OF EXAMPLE EMBODIMENTS
Overview

A phacoemulsification probe typically includes a piezoelectric actuator to drive a needle of the phacoemulsification probe during a cataract procedure. The stroke amplitude of the needle is not only a function of the voltage applied to the piezoelectric actuator of the probe, but is generally at a maximum when the piezoelectric actuator is operating at its resonant frequency. When the piezoelectric actuator is not operating at its resonant frequency, the stoke amplitude is less than the maximum and the electrical energy used to power the piezoelectric actuator is converted to heat thereby heating the phacoemulsification probe.


The resonant frequency may depend on the geometry of the rest of the probe and other factors such as temperature of the piezoelectric actuator, the voltage and current amplitude applied to the piezoelectric actuator, and acoustic impedance encountered by the piezoelectric actuator.


For example, the resonant frequency of the piezoelectric actuator may change when a load is applied to the needle. Therefore, when the needle is outside the eye, the resonant frequency is at one value, and when the needle is inserted into the eye, the resonant frequency changes to another value, and when the needle is impacting a cataract, the resonant frequency changes to yet another value. As previously mentioned, another factor that affects the resonant frequency of the piezoelectric actuator is temperature. So, for example, if the resonant frequency of the piezoelectric actuator changes due to the needle impacting a cataract, and the piezoelectric actuator is still powered with the same frequency signal, the piezoelectric actuator will start to heat and the stoke amplitude will decrease. The additional heat will lead to further changes in the resonant frequency, which in turn leads to further heat and even less stroke amplitude, and so on.


The resonant frequency of the piezoelectric actuator is non-linear and inadequate control can lead to the phacoemulsification probe providing an inadequate needle stroke amplitude and becoming too hot for the eye. For example, the phacoemulsification probe could reach a temperature of 42 degrees, above which the proteins in the eye could coagulate, which is potentially very dangerous for the eye.


Therefore, irrigation is used to reduce the temperature of the phacoemulsification probe. However, irrigation has its own problems as irrigation without carefully matched aspiration can lead to too much pressure in the eye, which is also potentially dangerous, whereas too much aspiration can lead to the eye collapsing. Moreover, irrigation may not be sufficient to adequately cool the phacoemulsification probe.


Exemplary embodiments of the present invention solve the above problems by providing a phacoemulsification apparatus that dynamically adjusts a frequency of a drive signal to drive a piezoelectric actuator of a phacoemulsification probe to follow the resonant frequency of the piezoelectric actuator thereby maximizing stroke amplitude while minimizing temperature rise of the phacoemulsification probe. The frequency of the drive signal is adjusted to minimize a measured phase difference between a voltage across the piezoelectric actuator and a current flowing through the piezoelectric actuator in response to the drive signal, thereby causing the piezoelectric actuator to vibrate at the resonant frequency.


In some exemplary embodiments, the phacoemulsification apparatus comprises the phacoemulsification probe including a horn, a needle mounted in the horn for insertion into a lens capsule of a human eye, and the piezoelectric actuator vibrating the horn and the needle. The apparatus also includes a signal generator which generates a drive signal to drive a vibration of the piezoelectric actuator, phase detection circuitry which measures the phase difference between the voltage across the piezoelectric actuator and the current flowing through the piezoelectric actuator in response to the drive signal, and a controller (e.g., micro-controller or any suitable processor) to adjust the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency.


The controller may adjust the frequency of the drive signal to minimize the measured phase difference using any suitable method, for example, using an optimization algorithm, for example, but not limited to, a gradient descent algorithm.


In some exemplary embodiments, the phase difference may be measured using respective analog-to-digital converters which sample the voltage across, and the current through, the piezoelectric actuator, with the output of the analog-to-digital converters being digitally analyzed to compute the phase difference. Use of some analog-to-digital converters is limited by their sampling rate and therefore sampling the voltage and current directly using the analog-to-digital converters may be unsuitable for some drive frequencies of the piezoelectric actuator (e.g., above 40 kHz). Although other high-end analog-to-digital convertors may provide a high enough sampling rate even for drive frequencies up to 250 kHz, these analog-to-digital convertors may be expensive and large and result in too much output data to be processed efficiently.


In some exemplary embodiments, the phase difference may be measured using the output of analog multipliers as described below. The phase detection circuitry performs a multiplication of the voltage (across the piezoelectric actuator) with a given reference signal (such as the drive signal) and a multiplication of the voltage with a quadrature reference signal (which is in quadrature (i.e., 90 degrees out-of-phase) with the given reference signal, which is also referred to as the in-phase reference signal) yielding two respective direct current (DC) voltage resultant signals, an in-phase resultant signal (based on the in-phase reference signal) and a quadrature resultant signal (based on the quadrature reference signal), respectively. The phase detection circuitry performs a multiplication of the current (flowing through the piezoelectric actuator) with the reference signal and a multiplication of the current with the quadrature reference signal yielding two respective DC current resultant signals, an in-phase resultant signal (based on the in-phase reference signal) and a quadrature resultant signal (based on the quadrature reference signal), respectively. Respective analog-to-digital convertors sample the respective voltage and current resultant signals yielding respective voltage resultant signal samples (in-phase resultant signal samples and quadrature resultant signal samples) and respective current resultant signal samples (in-phase resultant signal samples and quadrature resultant signal samples). A phase computation processor computes respective phase differences responsively to the respective voltage resultant signal samples and the respective current resultant signal samples. For example, the phase computation processor computes the phase difference between the voltage across the piezoelectric actuator and the reference signal at time t by computing a first arctan of: (a) the quadrature voltage resultant signal sample at time t divided; by (b) the in-phase voltage resultant signal sample at time t. Similarly, the phase computation processor computes the phase difference between the current flowing through the piezoelectric actuator and the reference signal at time t by computing a second arctan of: (a) the quadrature current resultant signal sample at time t divided by; (b) the in-phase current resultant signal sample at time t. The phase computation processor computes the phase difference between the voltage and the current at time t, by subtracting the result of the first arctan from the second arctan, or vice-versa.


In some exemplary embodiments, the phase difference may be computed based on multiplying the voltage (across the piezoelectric actuator) signal with the current (flowing through the piezoelectric actuator) signal and multiplying the voltage signal with a signal in quadrature with the current signal yielding an in-phase resultant signal and a quadrature resultant signal, respectively. The multiplied outputs are sampled and the phase computation processor computes the phase difference between the voltage and the current at time t by computing an arctan of: (a) the quadrature resultant signal sample at time t, divided by; (b) the in-phase current resultant signal sample at time t.


The phase computation processor may be implemented as part of the functionality of the controller.


In some exemplary embodiments, the signal generator may include a direct digital synthesizer (DDS) which generates the drive signal and a class AB amplifier which amplifies the drive signal to power the piezoelectric actuator.


In some exemplary embodiments, the piezoelectric actuator may include two (or more) different resonance modes having two (or more) respective resonant frequencies. The resonance modes may include a longitudinal resonance mode and a transverse or torsion resonance mode, by way of example. The controller adjusts the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at a respective one of the resonant frequencies of a respective selected one of the resonance modes.


SYSTEM DESCRIPTION

Reference is now made to FIG. 1, which is a partly pictorial, partly block diagram view of a phacoemulsification apparatus 10 constructed and operative in accordance with an exemplary embodiment of the present invention. Reference is also made to FIG. 2, which is a flowchart 100 including steps of a method of operation of the apparatus 10 of FIG. 1.


The phacoemulsification apparatus 10 includes a phacoemulsification probe 12 including a horn 14, a needle 16 mounted in the horn 14 and configured for insertion (block 102) into a lens capsule 18 of a human eye 20, and a piezoelectric actuator 22 configured to vibrate the horn 14 and the needle 16 and having a resonant frequency associated with a resonance mode. The vibration of the needle 16 is used to break the cataract into small pieces during the phacoemulsification procedure.


The phacoemulsification probe 12 is connected to an irrigation reservoir 24 via a pumping sub-system 26 and to a collection receptacle 28 via the pumping sub-system 26. Irrigation fluid is pumped from the irrigation reservoir 24 by the pumping sub-system 26 to a distal end of the phacoemulsification probe 12 for irrigating the eye during the phacoemulsification procedure. Waste matter (e.g., emulsified parts of the cataract) and eye fluid are aspirated via the needle 16 to the collection receptacle 28 using the pumping sub-system 26. The pumping sub-system 26 may comprise one or more pumps or any suitable pump type, such as peristaltic pumps, vane pumps, or any suitable combination thereof. The phacoemulsification probe 12 is described in more detail with reference to FIG. 3.


The phacoemulsification apparatus 10 includes a signal generator 30, which is coupled with the piezoelectric actuator 22, and is configured to generate (block 104) a drive signal to drive a vibration of the piezoelectric actuator 22. In some exemplary embodiments, the signal generator 30 includes a direct digital synthesizer (DDS) 32 and a class AB amplifier 34 which are coupled together. The class AB amplifier 34 is coupled to the piezoelectric actuator 22. The DDS 32 is configured to generate the drive signal. The class AB amplifier 34 is configured to amplify the drive signal to power the piezoelectric actuator 22. The DDS 32 may be replaced by any suitable signal synthesizer. The class AB amplifier 34 may be replaced by any suitable signal amplifier, for example, but not limited to a class D amplifier.


The phacoemulsification apparatus 10 includes phase detection circuitry 36 which is configured to measure (block 106) a phase difference between: a voltage across the piezoelectric actuator 22; and a current flowing through the piezoelectric actuator 22 in response to the drive signal.


In some exemplary embodiments, the phase detection circuitry 36 may include respective analog-to-digital converters (not shown) which sample the voltage across, and the current through, the piezoelectric actuator 22, with the output of the analog-to-digital converters being digitally analyzed (e.g., by a suitable controller or processor) to compute the phase difference. Using the analog-to-digital converters is limited as described above in the overview section.


In some exemplary embodiments, the phase detection circuitry 36 uses analog multipliers as described in more detail with reference to FIGS. 4 and 5.


The phacoemulsification apparatus 10 includes a micro-controller 38. The micro-controller 38 may be replaced by any suitable controller or processor to perform the functions of the micro-controller 38 as described herein. In practice, some or all of the functions of the micro-controller 38 may be combined in a single physical component or, alternatively, implemented using multiple physical components. These physical components may comprise hard-wired or programmable devices, or a combination of the two. In some embodiments, at least some of the functions of the micro-controller 38 may be carried out by a programmable processor under the control of suitable software. This software may be downloaded to a device in electronic form, over a network, for example. Alternatively, or additionally, the software may be stored in tangible, non-transitory computer-readable storage media, such as optical, magnetic, or electronic memory.


The micro-controller 38 may receive user-based commands via a user interface 40, which may include setting a vibration mode and/or frequency of the piezoelectric actuator 22, adjusting the vibration mode and/or frequency of the piezoelectric actuator 22, setting or adjusting a stroke amplitude of the needle 16, setting or adjusting an irrigation and/or aspiration rate of the pumping sub-system 26. The micro-controller 38 is configured to control the pumping sub-system 26 and the signal generator 30 based on the user-based commands. The user interface 40 may include any suitable user interface devices, for example, but not limited to any one or more of the following: a keyboard, a keypad, a touch screen, or a pointing device (such as a mouse, stylus, or joystick).


The micro-controller 38 is configured to adjust (block 108) the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency. It should be noted that the term “vibrating at the resonant frequency,” in all grammatical forms thereof, is defined as approximately vibrating at the resonant frequency, due to noise, thermal effects and bandwidth limitations, for example. The micro-controller 38 may adjust the frequency of the drive signal to minimize the measured phase difference using any suitable method, for example, based on an optimization algorithm, for example, but not limited to, including a gradient descent algorithm. An exemplary optimization method for use in the phacoemulsification apparatus 10 is described with reference to FIG. 6.


In some exemplary embodiments the piezoelectric actuator 22 may include a single resonance mode, for example, a longitudinal resonance mode (indicated using arrow 42), or a transverse resonance mode (indicated using arrow 44), or a torsion resonance mode (indicated using arrow 46). In some exemplary embodiments, the piezoelectric actuator 22 may include two (or more) different resonance modes having two (or more) respective resonant frequencies. The resonance modes may include any suitable resonance modes, for example, any two or more of the following: the longitudinal resonance mode (indicated using arrow 42), or the transverse resonance mode (indicated using arrow 44), or the torsion resonance mode (indicated using arrow 46). In these exemplary embodiments, the micro-controller 38 may be configured to adjust the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator 22 vibrates at the resonant frequency of the user selected resonance mode.


The needle 16 shown in FIG. 1 is a straight needle. Any suitable needle may be used with the phacoemulsification probe 12, for example, a curved or bent tip needle commercially available from Johnson & Johnson Vision, Jacksonville, Fla., USA.


Reference is now made to FIG. 3, which is a cross-sectional view of the phacoemulsification probe 12 for use in the apparatus 10 of FIG. 1. Generally, the phacoemulsification probe 12 includes the needle 16, defining a lumen that is operatively coupled to the collection receptacle 28 (FIG. 1) via the pumping sub-system 26 (FIG. 1) forming an aspiration line 48. The proximal end of the needle 16 is coupled to the horn 14, which has its proximal end coupled to a set of piezoelectric crystals 50 of the piezoelectric actuator 22 (FIG. 1), shown as three rings. The horn 14, crystals 50, and a proximal portion of the needle 16 are enclosed within a handpiece casing 52 having an irrigation port coupled to an irrigation line 54 defining an irrigation pathway 56. The irrigation line 54 is coupled to the irrigation reservoir 24 (FIG. 1). The horn 14 is typically an integrated metal structure, formed from any suitable metal, such as titanium, and often includes a rubber O ring 58 around the mid-section, just before the horn 14 tapers to fit with the needle 16 at the horn's 14 distal end. The O ring 58 snugly fits between the horn 14 and the casing 52. The O ring 58 seals the proximal portion of the horn 14 from the irrigation pathway 56. Thus, there is a channel of air defined between the horn 14 and the casing 52. Descriptions of handpieces known in the art are provided in U.S. Pat. No. 6,852,092 to Kadziauskas, et al., and U.S. Pat. No. 5,843,109 to Mehta, et al., by way of example.


The exemplary embodiment of the phacoemulsification probe 12 described with reference to FIG. 3 is described by way of example only. Any suitable phacoemulsification probe may be used instead of the phacoemulsification probe 12.


In preparation for the phacoemulsification procedure, a sleeve 60 is typically added to the distal end of the phacoemulsification probe 12, covering the proximal portion of the needle 16 (thus, exposing the distal tip of the needle 16), and the distal end of the irrigation pathway 56, thereby extending the pathway 56 and defining an irrigation port 62 just before the distal tip of the needle 16. The needle 16 and a portion of the sleeve 60 are then inserted through the cornea of the eye 20 to reach the lens capsule 18 (FIG. 1).


During the phacoemulsification procedure, the irrigation pathway 56, the eye's chamber and the aspiration line 48 form a fluidic circuit, where irrigation fluid enters the eye's chamber via the irrigation pathway 56, and is then aspirated through the aspiration line 48 along with other materials that the surgeon desires to aspirate out, such as the cataract. If, however, the materials, such as the cataract, are too hard and/or large to be aspirated through the aspiration line 48, the distal end of the needle 16 is ultrasonically vibrated and applied to the material to be emulsified into a size and state that can be successfully aspirated.


The needle 16 is ultrasonically vibrated by applying electric power to the piezoelectric crystals 50, which in turn, cause the horn 14 to ultrasonically vibrate, which in turn, ultrasonically vibrates the needle 16. The electric power is defined by a number of parameters, such as signal frequency and amplitude, and if the power is applied in pulses, then the parameters can further include pulse width, shape, size, duty cycle, amplitude, and so on. These parameters are controlled by the micro-controller 38 (FIG. 1) and example control of these parameters is described in U.S. Pat. No. 7,169,123 to Kadziauskas, et al.


Reference is now made to FIG. 4, which is a schematic view of control elements 64 in the apparatus 10 of FIG. 1. Reference is also made to FIG. 5, which is a flowchart 200 including steps in a method of operation of the phase detection circuitry 36 of FIG. 4.



FIG. 4 shows the micro-controller 38 coupled to the signal generator 30 to command the DDS 32 regarding the frequency of the drive signal and to receive phase data from the phase detection circuitry 36. The class AB amplifier 34 is coupled to the DDS 32 and receives the drive signal from the DDS 32 for amplification to power the piezoelectric actuator 22.


A voltage (signal) 66 across the piezoelectric actuator 22 is sourced from two connections 74 of the piezoelectric actuator 22 for processing by the phase detection circuitry 36. A current (signal) 68 flowing through the piezoelectric actuator 22 is captured for processing by the phase detection circuitry 36. The phacoemulsification apparatus 10 includes a connection 70 in series with the piezoelectric actuator 22, and a resister 72 disposed in the connection 70. The current 68 flowing through the resister 72 represents the current flowing through the piezoelectric actuator 22. The current (signal) 68 is sourced from connections either side of the resister 72.


The phase detection circuitry 36 includes an analog multiplier 76, an analog multiplier 78, an analog-to-digital convertor 80, an analog-to-digital convertor 82, and phase computation processor 84. The analog multiplier 76 has inputs across the piezoelectric actuator 22 from the connections 74. The analog multiplier 78 has inputs connected across the resister 72. Each analog multiplier 76, 78 may include circuitry for performing two independent multiplications, one based on a given reference signal 86, and one based on a quadrature reference signal, which is in quadrature (e.g., 90 degrees out-of-phase) with the given reference signal 86, which is also called the in-phase reference signal 86, described in more detail below.


The analog-to-digital convertor 80 and the analog-to-digital convertor 82 are dual channel analog-to-digital convertors. In some exemplary embodiments, the analog-to-digital convertor 80 and the analog-to-digital convertor 82 may be replaced by a four-channel analog-to-digital convertor or four single channel analog-to-digital convertors, or any suitable combination of analog-to-digital convertors.


The analog multiplier 76 is configured to perform (block 202) a multiplication of the voltage 66 with the in-phase reference signal 86 and a multiplication of the voltage 66 with the quadrature reference signal yielding two respective DC voltage resultant signals, an in-phase voltage resultant signal (based on the in-phase reference signal 86) and a quadrature voltage resultant signal (based on the quadrature reference signal). At any time, t, the arctan of: the amplitude of the quadrature voltage resultant signal divided by; the amplitude of the in-phase voltage resultant signal, is proportional to the phase difference between the voltage signal 66 and the reference signal 86. In some embodiments, the reference signal includes the drive signal. The analog multiplier 78 is configured to perform (block 204) a multiplication of the current 68 with the in-phase reference signal 86 and the quadrature reference signal yielding two respective DC current resultant signals, an in-phase current resultant signal (based on the in-phase reference signal 86) and a quadrature current resultant signal (based on the quadrature reference signal). At any time, t, the arctan of: the amplitude of the quadrature current resultant signal divided by; the amplitude of the in-phase current resultant signal, is proportional to the phase difference between the current signal 68 and the reference signal 86. The steps of blocks 202 and 204 are generally performed continuously while the piezoelectric actuator 22 is being powered. Some commonly available analog multiplier integrated circuits (ICs) are MPY634 from Texas Instruments, AD534, AD632 and AD734 from Analog Devices.


The analog-to-digital convertor 80 is configured to respectively sample (block 206) the two voltage resultant signals yielding respective voltage resultant signal samples (e.g., multiple in-phase voltage resultant signal samples and multiple quadrature voltage resultant signal samples). The analog-to-digital convertor 82 is configured to respectively sample (block 208) the two current resultant signals yielding respective current resultant signal samples (e.g., multiple in-phase current resultant signal samples and multiple quadrature current resultant signal samples). The sampling frequency and phase of the analog-to-digital convertors 80, 82 are generally synchronized so that they sample the signals at the same time. The sampling frequency may be any suitable frequency, for example, 500 kHz (or less), 1000 kHz, 2000 kHz (or more).


The phase computation processor 84 (illustrated in FIG. 4) is configured to compute (block 210) respective phase differences (between the voltage 66 and the current 68 at different times) responsively to the respective voltage resultant signal samples and the respective current resultant signal samples. For example, the phase computation processor 84 is configured to compute the phase difference between the voltage 66 across the piezoelectric actuator 22 and the reference signal 86 at time t by computing a first arctan of: (a) the quadrature voltage resultant signal sample at time t divided by; (b) the in-phase voltage resultant signal sample at time t. Similarly, the phase computation processor 84 is configured to compute the phase difference between the current 68 flowing through the piezoelectric actuator 22 and the reference signal 86 at time t by computing second arctan of: (a) the quadrature current resultant signal sample at time t divided by; (b) the in-phase current resultant signal sample at time t. The phase computation processor 84 is configured to compute the phase difference between the voltage signal 66 and the current signal 68 at time t, by subtracting the results of the first and second arctan from each other.


The phase computation processor 84 may form part of the functionality of: the micro-controller 38 as shown in FIG. 7 (and not part of the phase detection circuitry 36); or a dedicated microcontroller. In practice, some or all of the functions of the phase computation processor 84 may be combined in a single physical component (e.g., the micro-controller 38) or, alternatively, implemented using multiple physical components. These physical components may comprise hard-wired or programmable devices, or a combination of the two. In some embodiments, at least some of the functions of the phase computation processor 84 may be carried out by a programmable processor under the control of suitable software. This software may be downloaded to a device in electronic form, over a network, for example. Alternatively, or additionally, the software may be stored in tangible, non-transitory computer-readable storage media, such as optical, magnetic, or electronic memory.


Reference is now made to FIG. 6, which is a flowchart 300 including steps in a method of operation of the microcontroller 38 of FIG. 4.


The micro-controller 38 (FIG. 4) is configured to receive (block 302) a newly computed phase difference from the phase computation processor 84 (FIG. 4), which in some exemplary embodiments may be incorporated into the functionality of the micro-controller 38.


The micro-controller 38 is configured to retrieve (block 304) a previous phase difference (i.e., the phase difference received prior to the newly computed phase difference) and to retrieve (block 306) a previous adjustment to the drive frequency (i.e., computed based on the previous phase difference).


The micro-controller 38 is configured to compare the newly computed phase difference with the previous phase difference to determine whether the newly computed phase difference represents an increase over the previous phase difference in a step of decision block 308.


If the newly computed phase difference represents an increase over the previous phase difference (branch 310), the micro-controller 38 is configured to adjust (block 312) the drive frequency in an opposite direction to the previous adjustment. For example, if the previous adjustment increased the drive frequency, the current adjustment will be to decrease the drive frequency, and vice-versa. If the newly computed phase difference represents a decrease over the previous phase difference (branch 314), the micro-controller 38 is configured to adjust (block 316) the drive frequency more in the same direction as the previous adjustment. The adjustment to the frequency may be proportional to the phase difference or the adjustment may be a fixed value.


The micro-controller 38 is configured to store (block 318) the current phase difference (i.e., the newly computed phase difference) and to store (block 320) the new frequency adjustment.


The steps of the flowcharts 100, 200, and 300 described herein may be performed in any suitable order with some of the steps optionally being performed simultaneously where possible.


Reference is now made to FIG. 7, which is schematic view of alternative control elements 88 in the apparatus 10 of FIG. 1. The control elements 88 are substantially the same as the control elements 64 of FIG. 4 except that the control elements 88 do not include the phase computation processor 84 in the phase detection circuitry 36. The functionality of the phase computation processor 84 is included in the micro-controller 38. The outputs of the analog-to-digital convertor 80 and the analog-to-digital convertor 82 are connected to the micro-controller 38 which processes the respective voltage resultant signal samples and the respective current resultant signal samples to compute the respective phase differences.


Reference is now made to FIG. 8, which is schematic view of second alternative control elements 90 in the apparatus 10 of FIG. 1. In some embodiments, respective analog multipliers 92, 94 are configured to perform a multiplication of the voltage 66 with the current 68, and a multiplication of the voltage 66 with a signal 96 which is in quadrature with the current 68 yielding two respective DC resultant signals, an in-phase resultant signal (based on the current signal 68) and a quadrature resultant signal (based on the signal 96 which is in quadrature with the current signal 68). At any time, t, the arctan of: the amplitude of the quadrature resultant signal divided by; the amplitude of the in-phase resultant signal, is proportional to the phase difference between the voltage signal 66 and the current signal 68. The respective analog-to-digital convertors 82, 80 are configured to respectively sample: the in-phase resultant signal yielding in-phase resultant signal samples; and the quadrature resultant signal yielding quadrature resultant signal samples. The phase computation processor 84 (which may be incorporated into the microcontroller 38 is configured to compute respective phase differences (between the voltage 66 and the current 68 at different times) responsively to the respective resultant signal samples. For example, the phase computation processor 84 is configured to compute the phase difference between the voltage 66 across the piezoelectric actuator 22 and the reference signal 86 at time t by computing an arctan of: (a) the quadrature resultant signal sample at time t, divided by; (b) the in-phase resultant signal sample at time t.


As used herein, the terms “about” or “approximately” for any numerical values or ranges indicate a suitable dimensional tolerance that allows the part or collection of components to function for its intended purpose as described herein. More specifically, “about” or “approximately” may refer to the range of values ±20% of the recited value, e.g. “about 90%” may refer to the range of values from 72% to 108%.


Various features of the invention which are, for clarity, described in the contexts of separate embodiments may also be provided in combination in a single embodiment. Conversely, various features of the invention which are, for brevity, described in the context of a single embodiment may also be provided separately or in any suitable sub-combination.


The embodiments described above are cited by way of example, and the present invention is not limited by what has been particularly shown and described hereinabove. Rather the scope of the invention includes both combinations and sub-combinations of the various features described hereinabove, as well as variations and modifications thereof which would occur to persons skilled in the art upon reading the foregoing description and which are not disclosed in the prior art.

Claims
  • 1. A phacoemulsification apparatus comprising: a phacoemulsification probe including: a horn; a needle mounted in the horn and configured for insertion into a lens capsule of a human eye; and a piezoelectric actuator configured to vibrate the horn and the needle and having a resonant frequency;a signal generator configured to generate a drive signal to drive a vibration of the piezoelectric actuator;phase detection circuitry configured to measure a phase difference between: a voltage across the piezoelectric actuator; and a current flowing through the piezoelectric actuator in response to the drive signal, wherein the phase detection circuitry includes: a first analog multiplier configured to perform a multiplication of the voltage with a reference signal yielding voltage resultant signals; anda second analog multiplier configured to perform a multiplication of the current with the reference signal yielding current resultant signals; anda controller configured to adjust a frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency.
  • 2. The apparatus according to claim 1, wherein the phase detection circuitry also includes: a first analog-to-digital convertor configured to sample the voltage resultant signals yielding voltage resultant signal samples;a second analog-to-digital convertor configured to sample the current resultant signals yielding current resultant signal samples; anda phase computation processor configured to compute the phase difference responsively to the voltage resultant signal samples and the current resultant signal samples.
  • 3. The apparatus according to claim 1, further comprising: a connection in series with the piezoelectric actuator; and a resister disposed in the connection, wherein the second analog multiplier has inputs connected across the resister.
  • 4. The apparatus according to claim 1, wherein the reference signal includes the drive signal.
  • 5. The apparatus according to claim 1, wherein the phase detection circuitry includes: analog multipliers configured to perform a multiplication of the voltage with the current yielding resultant signals;analog-to-digital convertors configured to sample the resultant signals yielding resultant signal samples; anda phase computation processor configured to compute the phase difference responsively to the resultant signal samples.
  • 6. The apparatus according to claim 1, wherein the controller is configured to adjust the frequency of the drive signal so as to minimize the measured phase difference based on an optimization algorithm.
  • 7. The apparatus according to claim 6, wherein the optimization algorithm includes a gradient descent algorithm.
  • 8. The apparatus according to claim 1, wherein the signal generator includes a direct digital synthesizer (DDS) and a class AB amplifier, the DDS being configured to generate the drive signal, the class AB amplifier being configured to amplify the drive signal to power the piezoelectric actuator.
  • 9. The apparatus according to claim 1, wherein the piezoelectric actuator includes two different resonance modes having two respective resonant frequencies, the controller being configured to adjust the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at a respective one of the resonant frequencies of a respective selected one of the resonance modes.
  • 10. The apparatus according to claim 9, wherein the resonance modes include a longitudinal resonance mode and a transverse or torsion resonance mode.
  • 11. A phacoemulsification method comprising: inserting a needle of a phacoemulsification probe into a lens capsule of a human eye, the probe also including a horn in which the needle is mounted;generating a drive signal to drive a vibration of a piezoelectric actuator having a resonant frequency, the piezoelectric actuator vibrating the horn and the needle;measuring a phase difference between: a voltage across the piezoelectric actuator; and a current flowing through the piezoelectric actuator in response to the drive signal, wherein the measuring of the phase difference includes performing a multiplication of the voltage with a reference signal yielding voltage resultant signals; and performing a multiplication of the current with the reference signal yielding current resultant signals; andadjusting a frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at the resonant frequency.
  • 12. The method according to claim 11, further comprising: sampling the voltage resultant signals yielding voltage resultant signal samples;sampling the current resultant signals yielding current resultant signal samples; andcomputing the phase difference responsively to the voltage resultant signal samples and the current resultant signal samples.
  • 13. The method according to claim 11, wherein the reference signal includes the drive signal.
  • 14. The method according to claim 11 further comprising: performing a multiplication of the voltage with the current yielding resultant signals;sampling the resultant signals yielding resultant signal samples; andcomputing the phase difference responsively to the resultant signal samples.
  • 15. The method according to claim 11, wherein the adjusting includes adjusting the frequency of the drive signal so as to minimize the measured phase difference based on an optimization algorithm.
  • 16. The method according to claim 15, wherein the optimization algorithm includes a gradient descent algorithm.
  • 17. The method according to claim 11, further comprising amplifying the drive signal to power the piezoelectric actuator.
  • 18. The method according to claim 11, wherein the piezoelectric actuator includes two different resonance modes having two respective resonant frequencies, wherein the adjusting includes adjusting the frequency of the drive signal so as to minimize the measured phase difference, whereby the piezoelectric actuator vibrates at a respective one of the resonant frequencies of a respective selected one of the resonance modes.
  • 19. The method according to claim 18, wherein the resonance modes include a longitudinal resonance mode and a transverse or torsion resonance mode.
US Referenced Citations (205)
Number Name Date Kind
2434480 Anderson Jan 1948 A
2763840 Pfleger Sep 1956 A
3469213 Leonard Sep 1969 A
3857387 Shock Dec 1974 A
3885569 Judson May 1975 A
3941122 Jones Mar 1976 A
4012647 Balamuth et al. Mar 1977 A
4063557 Wuchinich et al. Dec 1977 A
4092986 Schneiderman Jun 1978 A
4156187 Brumbach et al. May 1979 A
4184510 Murry et al. Jan 1980 A
4199246 Muggli Apr 1980 A
4343111 Inoue Aug 1982 A
4378538 Gignoux Mar 1983 A
4469098 Davi Sep 1984 A
4520818 Mickiewicz Jun 1985 A
4736130 Puskas Apr 1988 A
4808948 Patel et al. Feb 1989 A
4827911 Broadwin et al. May 1989 A
4861332 Parisi Aug 1989 A
4886060 Wiksell Dec 1989 A
4903696 Stasz et al. Feb 1990 A
4952834 Okada Aug 1990 A
4954960 Lo Sep 1990 A
4970656 Lo et al. Nov 1990 A
4983901 Lehmer Jan 1991 A
5001649 Lo et al. Mar 1991 A
5019794 Lei et al. May 1991 A
5091656 Gahn Feb 1992 A
5162044 Gahn et al. Nov 1992 A
5162759 Yajima Nov 1992 A
5209221 Riedlinger May 1993 A
5213569 Davis May 1993 A
5242404 Conley et al. Sep 1993 A
5249121 Baum et al. Sep 1993 A
5268624 Zanger Dec 1993 A
5279547 Costin Jan 1994 A
5318563 Malis et al. Jun 1994 A
5331951 Kepley Jul 1994 A
5342293 Zanger Aug 1994 A
5370602 Kepley Dec 1994 A
5388569 Kepley Feb 1995 A
5403307 Zelman Apr 1995 A
5405614 D'Angelo et al. Apr 1995 A
5406503 Williams, Jr. et al. Apr 1995 A
5417246 Perkins et al. May 1995 A
5431663 Carter Jul 1995 A
5431664 Ureche et al. Jul 1995 A
5451161 Sharp Sep 1995 A
5453087 Malinowski Sep 1995 A
5520633 Costin May 1996 A
5523058 Umemura et al. Jun 1996 A
5534741 Smith Jul 1996 A
5547459 Kaufman et al. Aug 1996 A
5549632 Lai Aug 1996 A
5582578 Zhong et al. Dec 1996 A
5591127 Barwick, Jr. et al. Jan 1997 A
5700240 Barwick, Jr. et al. Dec 1997 A
5733256 Costin Mar 1998 A
5738677 Colvard et al. Apr 1998 A
5766146 Barwick, Jr. Jun 1998 A
5797494 Balling et al. Aug 1998 A
5800365 Zhong et al. Sep 1998 A
5808396 Boukhny Sep 1998 A
5825164 Williams et al. Oct 1998 A
5836959 Seibel et al. Nov 1998 A
5843109 Mehta et al. Dec 1998 A
5852794 Staggs Dec 1998 A
5873885 Weidenbenner Feb 1999 A
5897569 Kellogg et al. Apr 1999 A
5938677 Boukhny et al. Aug 1999 A
5971980 Sherman Oct 1999 A
5979494 Perkins et al. Nov 1999 A
5984882 Rosenschein et al. Nov 1999 A
5997528 Bisch et al. Dec 1999 A
6010496 Appelbaum et al. Jan 2000 A
6027515 Cimino Feb 2000 A
6028387 Boukhny Feb 2000 A
6053906 Honda Apr 2000 A
6083193 Kadziauskas et al. Jul 2000 A
6086598 Appelbaum et al. Jul 2000 A
6117126 Appelbaum et al. Sep 2000 A
6155975 Urich et al. Dec 2000 A
6161545 Chow Dec 2000 A
6174309 Wrublewski et al. Jan 2001 B1
6175180 Angelini et al. Jan 2001 B1
6193683 Ludin et al. Feb 2001 B1
6203516 Kepley Mar 2001 B1
6251113 Appelbaum et al. Jun 2001 B1
6261297 Kadziauskas et al. Jul 2001 B1
6319220 Bylsma Nov 2001 B1
6391020 Kurtz et al. May 2002 B1
6391042 Cimino May 2002 B1
6394974 Kadziauskas et al. May 2002 B1
6402769 Boukhny Jun 2002 B1
6425883 Urich et al. Jul 2002 B1
6428531 Visuri et al. Aug 2002 B1
6443900 Adachi et al. Sep 2002 B2
6452120 Chen Sep 2002 B1
6452123 Chen Sep 2002 B1
6452883 Chan Sep 2002 B2
6487447 Weimann et al. Nov 2002 B1
6506176 Mittelstein et al. Jan 2003 B1
6588277 Giordano et al. Jul 2003 B2
6589204 Sussman et al. Jul 2003 B1
6610052 Furumoto Aug 2003 B2
6629948 Rockley et al. Oct 2003 B2
6632193 Davison et al. Oct 2003 B1
6699212 Kadziauskas et al. Mar 2004 B1
6726679 Dick et al. Apr 2004 B1
6733491 Kadziauskas et al. May 2004 B2
6780165 Kadziauskas et al. Aug 2004 B2
6808396 Kawaguchi et al. Oct 2004 B2
6884252 Urich et al. Apr 2005 B1
6890332 Truckai et al. May 2005 B2
6896674 Woloszko et al. May 2005 B1
6908472 Wiener et al. Jun 2005 B2
6939317 Zacharias Sep 2005 B2
6945981 Donofrio et al. Sep 2005 B2
6962583 Kadziauskas et al. Nov 2005 B2
6997935 Anderson et al. Feb 2006 B2
7077820 Kadziauskas et al. Jul 2006 B1
7169123 Kadziauskas et al. Jan 2007 B2
7193521 Moberg et al. Mar 2007 B2
7316664 Kadziauskas et al. Jan 2008 B2
7485106 Kadziauskas et al. Feb 2009 B2
7671693 Brobston et al. Mar 2010 B2
7785336 Staggs Aug 2010 B2
7857783 Kadziauskas et al. Dec 2010 B2
7938120 Kadziauskas et al. May 2011 B2
7998156 Staggs Aug 2011 B2
8020565 Kadziauskas et al. Sep 2011 B2
8034067 Staggs Oct 2011 B2
8195286 Kadziauskas et al. Jun 2012 B2
8197436 Kadziauskas et al. Jun 2012 B2
8202287 Staggs Jun 2012 B2
8231564 Kadziauskas et al. Jul 2012 B2
8303613 Crandall et al. Nov 2012 B2
8366728 Staggs Feb 2013 B2
8545528 Rob et al. Oct 2013 B2
8623040 Artsyukhovich et al. Jan 2014 B2
8852138 Kadzlauskas et al. Oct 2014 B2
8876747 Kadziauskas et al. Nov 2014 B2
8887735 Kadzlauskas et al. Nov 2014 B2
8945162 Kadziauskas et al. Feb 2015 B2
9018887 Paschke Apr 2015 B2
9226849 Staggs Jan 2016 B2
9572711 Raney et al. Feb 2017 B2
9642745 Kadziauskas et al. May 2017 B2
9707127 Kadziauskas Jul 2017 B2
9788998 Kadziauskas et al. Oct 2017 B2
10245179 Kadziauskas et al. Apr 2019 B2
10478337 Greenbaum et al. Nov 2019 B2
20010003155 Rockley et al. Jun 2001 A1
20010003295 Langlotz et al. Jun 2001 A1
20010003385 Ise Jun 2001 A1
20010039389 Sakurai Nov 2001 A1
20010048356 Owen et al. Dec 2001 A1
20020010477 Hirt et al. Jan 2002 A1
20020052600 Davison et al. May 2002 A1
20020072741 Sliwa et al. Jun 2002 A1
20020082793 Kadziauskas et al. Jun 2002 A1
20020173814 Jung et al. Nov 2002 A1
20030047434 Hanson et al. Mar 2003 A1
20040092921 Kadziauskas et al. May 2004 A1
20040092922 Kadziauskas et al. May 2004 A1
20040193182 Yaguchi et al. Sep 2004 A1
20050054971 Steen et al. Mar 2005 A1
20050209560 Boukhny et al. Sep 2005 A1
20050209621 Gordon et al. Sep 2005 A1
20050288665 Woloszko Dec 2005 A1
20060036180 Boukhny Feb 2006 A1
20060079788 Anderson et al. Apr 2006 A1
20060149301 Claus Jul 2006 A1
20060195077 Kadziauskas et al. Aug 2006 A1
20060264809 Hansmann et al. Nov 2006 A1
20070056596 Fanney et al. Mar 2007 A1
20070066978 Schafer et al. Mar 2007 A1
20070073214 Dacquay et al. Mar 2007 A1
20070078379 Boukhny et al. Apr 2007 A1
20070249941 Salehi et al. Oct 2007 A1
20080139994 Mackool et al. Jun 2008 A1
20080146989 Zacharias Jun 2008 A1
20080154255 Panos et al. Jun 2008 A1
20080294087 Steen et al. Nov 2008 A1
20080319374 Zacharias Dec 2008 A1
20090005712 Raney Jan 2009 A1
20100069825 Raney Mar 2010 A1
20100125292 Wiener May 2010 A1
20100185150 Zacharias Jul 2010 A1
20110196403 Robertson et al. Aug 2011 A1
20110196404 Dietz et al. Aug 2011 A1
20120029353 Slayton Feb 2012 A1
20130006265 Crandall et al. Jan 2013 A1
20130057253 Jacobson Mar 2013 A1
20130314077 Okada et al. Nov 2013 A1
20130331872 Parham et al. Dec 2013 A1
20140024969 Govari et al. Jan 2014 A1
20140074013 Mccary et al. Mar 2014 A1
20150148712 Loven May 2015 A1
20170312129 Kadziauskas et al. Nov 2017 A1
20180056328 Downey et al. Mar 2018 A1
20210330493 Steen et al. Oct 2021 A1
20210361481 Gliner et al. Nov 2021 A1
20220096269 Gliner et al. Mar 2022 A1
Foreign Referenced Citations (37)
Number Date Country
2242328 May 1998 CA
109029690 Dec 2018 CN
232755 Feb 1986 DE
3910200 Oct 1990 DE
19940712 Mar 2001 DE
270819 Jun 1988 EP
270819 Jan 1989 EP
336620 Oct 1989 EP
336620 Dec 1993 EP
0945732 Sep 1999 EP
1351631 Oct 2003 EP
0955984 Apr 2004 EP
1537840 Jun 2005 EP
1608280 Dec 2005 EP
1625836 Feb 2006 EP
1849444 Oct 2007 EP
63315049 Dec 1988 JP
2204337 Aug 1990 JP
5038343 Feb 1993 JP
6183762 Jul 1994 JP
6189972 Jul 1994 JP
9313496 Dec 1997 JP
2001161740 Jun 2001 JP
2002087836 Mar 2002 JP
2002233534 Aug 2002 JP
9211814 Jul 1992 WO
9520374 Aug 1995 WO
9808442 Mar 1998 WO
0000298 Jan 2000 WO
0051508 Sep 2000 WO
0064388 Nov 2000 WO
0113838 Mar 2001 WO
0152782 Jul 2001 WO
02056806 Jul 2002 WO
05092023 Oct 2005 WO
2013173495 Nov 2013 WO
WO2018022968 Feb 2018 WO
Non-Patent Literature Citations (8)
Entry
Davis, P.L., et al., “Cavitating Microbubbles Create Shock Waves that Emulsify Cataract,” in: The Art of Phacoemulsification, Mehta K.R., et al., eds., Jaypee Brothers,New Delhi, 2001, pp. 45-50.
Devine M.T., ed., “How to Set the Dials,” in: Phacoemulsification Surgery, Pergamon Press, Chapter 2, 1991, pp. 7-28.
Ocusystem Operation Manual, May 1995, 79 pages.
Ophthalmology Times, Pulsar Cuts Phaco Time, Boosts Efficiency in Cataract Removal, Aug. 15, 1986, vol. 11 (16), Harcourt Brace Jovanovich, Inc., 1 page.
Pacifico R.L., “Ultrasonic Energy in Phacoemulsification: Mechanical Cutting and Cavitation,” Journal of Cataract & Refractive Surgery, 1994, vol. 20 (3), pp. 338-341.
Taylor W.F., et al., “Intraoperative Troubleshooting of an Advanced Phacoemulsification System,” The Surgial Technologist, 1985, vol. 17 (2), pp. 11-14.
U.S. Appl. No. 16/704,054, filed Dec. 5, 2019, titled “Phacoemulsification Apparatus”.
Co-Pending U.S. Appl. No. 17/231,450, filed Apr. 15, 2021, 20 pages.
Related Publications (1)
Number Date Country
20210196513 A1 Jul 2021 US