The present invention relates generally to medical devices, and particularly to methods and systems for mapping anatomical signals in a patient body.
Various methods for measuring anatomical signals, such as electrocardiogram (ECG) signals are known in the art.
For example, U.S. Patent Application Publication 2009/0221897 describes a sensor for measuring electrical variables at the surface of a human or animal body. The sensor comprising three of more electrodes in a geometrically regular arrangement, and a support member arranged to keep the electrodes together.
U.S. Patent Application Publication 2010/0010583 describes techniques for posture classification of a patient in a coordinate system of a sensor. A defined vector is obtained from a sensor disposed in a substantially fixed manner relative to the patient, the defined vector is described in a coordinate system of the sensor and without regard to an orientation in which the sensor is disposed in relation to the patient. A detected vector is obtained from the sensor that is described using the coordinate system of the sensor. The detected vector and the defined vector to are used to classify the posture state of the patient without regard to the orientation in which the sensor is disposed in relation to the patient.
An embodiment of the present invention that is described herein provides a medical probe including an insertion tube for insertion into a patient body, at least an arm, which is attached to a distal end of the insertion tube, at least a reference electrode coupled to the arm, and multiple electrodes, which are coupled to the arm, surround the reference electrode and are configured to sense electrical signals of body tissues that, when measured relatively to the reference electrode, are indicative of anatomical signals in the patient body.
In some embodiments, the electrodes are arranged in a non-uniform geometry around the reference electrode. In other embodiments, the anatomical signals include electrocardiogram (ECG) signals. In yet other embodiments, the medical probe includes electrical conductors, which are electrically connected to one or more of the electrodes and are configured to transmit the electrical signals to a system external to the patient body.
In an embodiment, the medical probe includes one or more wireless communication devices, which are electrically connected to one or more of the electrodes and are configured to transmit the electrical signals to a system external to the patient body. In another embodiment, the arm includes a flexible printed circuit board (PCB).
In some embodiments, the electrical signals are indicative of a direction of the anatomical signals. In other embodiments, the electrical signals are indicative of a propagation speed of the anatomical signals.
There is additionally provided, in accordance with an embodiment of the present invention, a method that includes, receiving electrical signals from a medical probe, which includes: (a) at least an arm, which is attached to a distal end of an insertion tube, (b) at least a reference electrode coupled to the arm, and (c) multiple electrodes, which are coupled to the arm, surround the reference electrode, and produce the electrical signals. The electrical signals, when measured relatively to the reference electrode, are indicative of a direction of anatomical signals in the patient body. Based on the electrical signals, at least one of a direction and a propagation speed of the anatomical signals is estimated.
There is additionally provided, in accordance with an embodiment of the present invention, a method for producing a medical probe, the method includes, attaching, to a distal end of an insertion tube, at least an arm. At least a reference electrode is coupled to the arm. Multiple electrodes arranged in a non-uniform geometry and surrounding the reference electrode are coupled to the arm.
There is further provided, in accordance with an embodiment of the present invention, a system that includes a reference electrode, a medical probe that includes an insertion tube for insertion into a patient body, at least an arm, which is attached to a distal end of the insertion tube, and multiple electrodes, which are coupled to the arm, and are configured to sense electrical signals of body tissues that, when measured relative to the reference electrode, are indicative of anatomical signals in the patient body. The system further includes a processor, which is configured to estimate, based on the electrical signals, at least one of a direction and a propagation speed of the anatomical signals.
In some embodiments, the reference electrode includes a body surface electrode coupled to a skin of the patient body. In other embodiments, the reference electrode includes a virtual electrode having a reference signal, and the processor is configured to calculate the reference signal based on additional electrical signals received from at least two body surface electrodes coupled to a skin of the patient body.
In an embodiment, the reference signal is calculated by averaging the additional electrical signals of at least two of the body surface electrodes. In another embodiment, the reference electrode is coupled to the arm, and the multiple electrodes surround the reference electrode.
The present invention will be more fully understood from the following detailed description of the embodiments thereof, taken together with the drawings in which:
Embodiments of the present invention that are described hereinbelow provide improved methods and systems for estimating the direction and propagation speed of wavefronts caused by anatomical signals, such as electrocardiogram (ECG) signals, in a patient body. In some embodiments, a system for estimating the direction and propagation speed of wavefronts caused by the ECG signals comprises a minimally invasive probe having a distal-end assembly coupled to an insertion tube, and a processor. The distal-end assembly comprises multiple spines, also referred to as arms, wherein each spine comprises a strip made from a flexible printed circuit board (PCB).
In some embodiments, each spine comprises multiple electrode assemblies coupled to the circuit board side facing the patient tissue, wherein the PCB comprises conductors that provide electrical connectivity between the electrode assemblies and conducting elements, such as traces or wiring running through the probe to a system external to the patient body.
In some embodiments, each electrode assembly comprises multiple electrodes arranged in a non-uniform geometry. The electrodes are configured to sense electrical signals of body tissues that, when measured relatively to another electrode of the electrode assembly, are indicative of the direction and magnification of the ECG signals in the patient heart.
In some embodiments, at least one of the electrodes comprises a reference electrode, wherein the other electrodes of the assembly are surrounding the reference electrode and may be arranged in a uniform or non-uniform geometry.
In some embodiments, the probe is typically inserted into the patient body in a collapsed position (e.g., using a sheath) and is extended upon reaching a target location such as a cavity of the patient heart. In the extended position, the spines are extended to conform to the shape of the cavity so that the electrodes coupled to the spines make contact with the tissue of the inner cavity surface and produce electrical signals indicative of the sensed ECG signals. These electrical signals are provided to the processor.
In some embodiments, the electrode assembly comprises multiple dipoles formed by the arrangement of the electrodes in a multipole configuration. The multipole arrangement is configured to sense the ECG signals in any direction in the patient heart.
In some embodiments, the processor is configured to estimate, based on the electrical signals, the direction and propagation speed of the ECG signals. The processor is configured to use various methods, such as calculating vector components of every dipole, and calculating vector addition and/or vector subtraction between the dipoles so as to estimate the direction and speed of a wavefront that carries the electrical field produced by the ECG signals.
The disclosed techniques improve the accuracy and sensitivity of ECG mapping in patient heart, for diagnosing and treating arrhythmia and other cardiac diseases. Moreover, the disclosed techniques may also be used for accurate mapping of other anatomical signals in patient organs.
Console 24 comprises a processor 39, typically a general-purpose processor of a general-purpose computer, with suitable front end and interface circuits for receiving signals from catheter 22 and for controlling the other components of system 20 described herein. Processor 39 may be programmed in software to carry out the functions that are used by the system, and the processor stores data for the software in a memory 38. The software may be downloaded to console 24 in electronic form, over a network, for example, or it may be provided on non-transitory tangible media, such as optical, magnetic or electronic memory media. Alternatively, some or all of the functions of processor 39 may be carried out by dedicated or programmable digital hardware components.
An operator 30 (such as an interventional cardiologist) inserts catheter 22 through the vascular system of a patient 28 lying on a table 29. Catheter 22 comprises an insertion tube (not shown), and a distal-end assembly 40 that comprises multiple spines, also referred to herein as “splines” or “arms” (shown in inset 52 and described in detail below). Operator 30 moves assembly 40 of catheter 22 in the vicinity of the target region in heart 26 by manipulating catheter 22 with a manipulator 32 near the proximal end of the catheter as shown in an inset 37 of
The position of the distal-end assembly in the heart cavity is typically measured by magnetic position sensing in catheter tracking system 20. In this case, console 24 comprises a driver circuit 34, which drives magnetic field generators 36 placed at known positions external to patient 28 lying on table 29, e.g., below the patient's torso.
Distal-end assembly 40 typically comprises multiple spines, each comprising one or more magnetic field sensors and/or one or more ablation or mapping electrodes, and/or other devices (as shown, for example in inset 52 and in
In some embodiments, the position sensors generate position signals in response to the sensed external magnetic fields, thereby enabling processor 39 to map the electrical potentials as a function of position within the heart cavity. In some embodiments, the sensed electrical signals are indicative of a direction and propagation speed of wavefronts caused by anatomical signals, such as electrocardiogram (ECG) signals in heart 26, as will be described in detail in
The multiple magnetic position sensors and mapping electrodes of assembly 40 are connected to interface circuitry of processor 39 at the catheter proximal end. Operator 30 can view the position of assembly 40 in an image 33 of heart 26 on a user display 31.
This method of position sensing is implemented, for example, in the CARTO™ system, produced by Biosense Webster Inc. (Irvine, Calif.) and is described in detail in U.S. Pat. Nos. 5,391,199, 6,690,963, 6,484,118, 6,239,724, 6,618,612 and 6,332,089, in PCT Patent Publication WO 96/05768, and in U.S. Patent Application Publications 2002/0065455 A1, 2003/0120150 A1 and 2004/0068178 A1, whose disclosures are all incorporated herein by reference.
In other embodiments, instead of magnetic position sensors, distal end assembly 40 may comprise one or more impedance position sensors, such as advanced current localization (ACL) sensors, or any other suitable position sensors, and system 20 may comprise a respective position tracking module. In alternative embodiments, system 20 does not comprise any position tracking module, and distal end assembly 40 does not comprise any position tracking sensors.
Basket Catheter for Sensing ECG Signals in Patient Heart
Reference is now made to inset 52. In some embodiments, each spine 42 is coupled to a cap 44 located at the distal tip of distal end assembly 40. In some embodiments, catheter 22 further comprises a shaft 46, which is used for the transition of assembly 40 between the collapsed and extended positions. For example, after inserting catheter 22 into heart 26, shaft 46 is configured to extract distal end assembly 40 out of a sheath (not shown) so as to bring assembly 40 to an extended position. Similarly, after concluding the medical procedure, shaft 46 is configured to retract distal end assembly 40 into the sheath to the collapsed position, typically before retracting catheter 22 out of patient body.
In some embodiments, multiple electrode assemblies 50 are formed on an external surface of a flexible printed circuit board (PCB) 48 so that in the extended position of distal end assembly 40, electrode assemblies 50 make contact with the tissue of heart 26. Other components, such as sensors, may be coupled to the spine in a similar manner.
In some embodiments, electrical circuit traces (not shown) are formed in PCB 48 of spine 42, each trace is connected to at least one electrode of each electrode assembly 50. In some embodiments, the electrical circuit traces are connected to suitable wiring or other types of electrical conductors that runs through catheter 22, for exchanging signals between console 24 and electrode assemblies 50.
Reference is now made to an inset 54. In some embodiments, each electrode assembly 50 comprises at least three electrodes. In the example of inset 54 assembly 50 comprises a reference electrode coupled to spine 52 and three electrodes, which are also coupled to the respective spine, surround the reference electrode and are configured to sense electrical signals of body tissues that, when measured relatively to the reference electrode, are indicative of the aforementioned direction and propagation speed of wavefronts caused by the ECG signals in heart 26. Additional embodiments related to the structure and operation of electrode assembly 50 are described in detail in
In other embodiments, distal end assembly 40 may comprise one or more wireless communication device (not shown), which are electrically connected to one or more of the electrodes of electrode assembly 50. The one or more wireless communication devices are configured to transmit the electrical signals to console 24 or to any other system external to the patient body.
Sensing the Speed and Direction of ECG Signals Propagating in Patient Heart
In some embodiments, electrode assembly 300 comprises three electrodes 301, 302 and 303 and a reference electrode 304, which are coupled to or embedded in PCB 48 of spine 42. Electrodes 301-303 surround reference electrode 304 and may be arranged in a uniform or non-uniform geometry around reference electrode 304.
In an embodiment, electrodes 301, 302, 303 and 304 whose respective centers of gravity (COGs) are denoted “A,” “B,” “C” and “D” in the figure, are arranged in three dipoles between reference electrode 304 and each of electrodes 301, 302 and 303, and are shown as vectors DA, DB and DC, respectively. In this configuration, vector DA shows the dipole between reference electrode 304 and electrode 302, vector DB shows the dipole between reference electrode 304 and electrode 301, and vector DC shows the dipole between reference electrode 304 and electrode 303.
Three examples of wavefronts, which are caused by three respective ECG signals of heart 26, are shown in
Note that for a time period, the changes in voltages sensed by the electrodes of a given dipole is indicative of the wavefront propagation speed. Information combined from two or more dipoles, allows for determination of the wavefront propagation direction, which is defined, for example, in a Cartesian coordinate system.
In the example of
In some embodiments, electrodes 301-304 may be arranged in any suitable geometric structure, which may be regular or non-regular. The terms “non-regular” and “irregular” may refer to a structure in which the COGs of electrodes 301, 302, 303, and 304 do not lie on the same geometrical plane. As described above, the non-regular geometrical arrangement allows sensing a wavefront moving in any direction, such as the directions of wavefronts “1,” “2” or “3” or any other direction.
In some embodiments, processor 39 is configured to receive electrical signals produced by electrodes 301-304 (e.g., voltage of each electrode 301-303 relative to reference electrode 304), which are indicative of the direction and speed of the wavefront caused by the ECG signals in heart 26.
In some embodiments, in response to wavefront “1,” the dipole represented by vector DB, which is substantially parallel to wavefront “1” and having the inverse direction, will at a first time, t1 sense the most negative value of voltage among all the dipoles. The dipoles represented by vectors DA and DC will sense, at a second later time, t2, a positive value of voltage.
In an example embodiment, in response to wavefront “2,” the dipole represented by vector DB will sense, at a first time, t1, a negative value of voltage. The dipole represented by vector DA will sense at a second later time t1+δ a similar negative value of voltage. Finally, the dipole represented by vector DC, which is substantially parallel to wavefront “2,” will sense, at a third later time, t2, a positive value of voltage. The timing difference between when the dipole represented by vector DB and the dipole represented by vector DA first sense voltage changes (δ) can be used to determine the direction of wavefront “2.” For example, a greater value of δ would correspond to a wavefront which was closer to wavefront “1”, a δ of zero would correspond to a wavefront anti-parallel to vector DC, and a negative value of δ would correspond to a wavefront that is closer to being anti-parallel to vector DA.
In an embodiment, in response to wavefront “3,” the dipole represented by vector DC will sense at a first time t1, a negative value of voltage. The dipole represented by vector DB, which is substantially orthogonal to wavefront “3,” will sense, at a second later time, t2, a negative value of voltage. Subsequently, at a third time, t3, the dipole represented by vector DA will sense a positive value of voltage.
In some embodiments, based on these electrical signals, processor 39 is configured to estimate the direction and speed of the wavefront caused by the ECG signals in heart 26. The change in the value of the sensed voltage is indicative of the speed of the wavefront and based on a combination of signals from two or more of the aforementioned dipoles, processor 39 may calculate the direction, as well as the speed, of the wavefront caused by the ECG signals of heart 26.
In other embodiments, electrodes 301, 302, 303, and 304 may have any other suitable type of non-regular geometrical arrangement. For example, at least two of electrodes 301, 302, and 303 may have a unique geometrical shape, and/or size and/or geometrical orientation that differs from one another. Additionally or alternatively, the distances between COGs of the aforementioned dipoles may differ from one another. In the example of
In other embodiments, electrode assembly 300 may comprise any other suitable number of electrodes arranged in any suitable irregular geometrical structure. In these embodiments, the electrode assembly may have any suitable shape, symmetric or asymmetric. For example, the shape of the electrode assembly may be non-round or even non-circular. Note that at least one of the non-regular arrangements described above may be used to increase the sensitivity of the electrode assembly to sense ECG signals in predefined directions.
In some embodiments, processor 39 may hold calibration data (e.g., stored in a file) for each electrode assembly having a non-regular structure as described above. Based on the calibration data, processor 39 is configured to compensate for the shape irregularity in the calculation of the direction and propagation speed of the wavefronts.
In some embodiments, electrode assembly 200 comprises three electrodes 201, 202 and 203 and a reference electrode 204, which are coupled to or embedded in PCB 48 of spine 42. Electrodes 201-203 surround reference electrode 204 and may be arranged in a uniform or non-uniform geometry around reference electrode 204. As described in
In the context of the present invention and in the claims, the terms “non-uniform,” “non-regular” and “non-periodic” are used interchangeably, and refer to any of the geometrical arrangements described in
Moreover, in an example of a round-shaped electrode assembly, but in contrast to the configuration of electrode assembly 200, the COG of the reference electrode may be not aligned with the COG of the electrode assembly.
Additionally or alternatively, at least one of electrodes 201-204 may have a different size, shape and/or surface area compared to the other electrodes, e.g., electrode 204 may be larger than electrodes 201-203.
In some embodiments, electrodes 201-203 are configured to sense electrical signals of body tissues that, when measured relatively to reference electrode 204, are indicative of the direction and speed of the wavefront caused by the ECG signals in heart 26, as described in
In some embodiments, electrodes 201-203 and 204 are electrically connected to processor 39 via the electrical traces and wiring of catheter 22, or via the wireless device, as described in
In some embodiments, processor 39 is configured to receive the electrical signals produced by the aforementioned dipoles of electrode assembly 200, and to estimate, based on the electrical signals, the direction and speed of a wavefront propagating in heart 26.
In some embodiments, processor 39 compares the voltage measured by each of electrodes 201-203 relative to reference electrode 204. Based on the comparison, processor 39 may estimate the direction and speed of a propagating wavefront caused by the ECG signals. For example, in response to wavefront “1,” which is orthogonal to a virtual line (not shown) connecting between electrodes 201 and 202, the voltage changes would first be sensed by a dipole comprising electrodes 201 and 204 and by a dipole comprising electrodes 202 and 204, and later by a dipole comprising electrodes 203 and 204. As described in
In some embodiments, electrode assembly 100 comprises three electrodes 102, 104 and 106, each of which having a wedge shape and is positioned at a predefined distance from the other two electrodes. In some embodiments, electrodes 102, 104 and 106 are arranged geometrically such that electrode assembly 100 has a round shape.
In some embodiments, electrodes 102, 104 and 106 are coupled to PCB 48 of spine 42 (as shown in
In some embodiments, electrode assembly 100 comprises three electrodes and, unlike electrode assemblies 300 and 200 of respective
In an embodiment, electrodes 102, 104 and 106 whose respective COGs are denoted “A,” “B” and “C” in the figure, are arranged in three dipoles between each pair of these electrodes, A-B, A-C and B-C. In some embodiments, in response to any wavefront, such as the aforementioned wavefronts “1,” “2,” or “3,” a vector “AB” is indicative of a voltage sensed by dipole A-B comprising electrodes 102 and 104. Similarly, a vector “BC” is indicative of a voltage sensed by dipole B-C comprising electrodes 104 and 106, and a vector “AC” is indicative of a voltage sensed by dipole A-C comprising electrodes 102 and 106.
In some embodiments, in response to wavefront “1,” which is orthogonal to vector AB, electrodes 102 and 104 sense about the same signals, thus, the voltage sensed, at a first time, t1, by the dipole represented by the vector AB, is about zero. Subsequently, the other two dipoles represented by vectors AC and BC sense, at a later time, t2, similar (e.g., positive) values of voltage. In some embodiments, processor 39 is configured to estimate, based on the timing and voltages sensed by dipoles A-B, A-C and B-C, the direction and speed of wavefront “1.”
In an example embodiment, in response to wavefront “2,” the dipole represented by vector AC, which is almost parallel to wavefront “2” and having the same direction, will at a first time, t1 sense a positive value of voltage, and the dipole represented by vector BC, which is almost orthogonal to wavefront “2” will sense a positive value of voltage at a second later time, t2.
In another example embodiment, in response to wavefront “3,” the dipole represented by vector AB, which is substantially parallel to wavefront “3” and having an opposite direction, will sense, at time t1, a negative value of voltage. Based on the embodiments and definitions described above, the dipole represented by vector BC will sense a positive value of voltage at time t1. Subsequently, at a third later time, t3, the dipole represented by vector AC will sense a negative value of voltage.
In some embodiments, processor 39 is configured to estimate the direction and speed of any wavefronts based on the timing of the sensed voltages received from the three dipoles, as described in
In some embodiments, electrodes 102, 104 and 106 may be arranged in any suitable geometric structure, which may be regular or non-regular. The terms “non-regular” and “irregular” may refer to a structure in which the COGs of electrodes 102, 104 and 106 do not lie on the same geometrical plane. As described above, the non-regular geometrical arrangement allows sensing a wavefront moving in any direction, such as the directions of wavefronts “1,” “2,” or “3” or any other direction.
In other embodiments, electrodes 102, 104 and 106 may have any other suitable type of non-regular geometrical arrangement. For example, at least two of electrodes 102, 104 and 106 may have a unique geometrical shape, and/or size and/or geometrical orientation that differs from one another. Additionally or alternatively, the distances between COGs of the aforementioned dipoles may differ from one another. In the example of
In the example of
In other embodiments, electrode assembly may comprise any other suitable number of electrodes arranged in any suitable irregular geometrical structure. In these embodiments, the electrode assembly may have any suitable shape, symmetric or asymmetric. For example, the shape of electrode assembly 100 may be non-round or even non-circular. Note that at least one of the non-regular arrangements described above may be used to increase the sensitivity of the electrode assembly to sense ECG signals in predefined directions.
In some embodiments, processor 39 may hold calibration data (e.g., stored in a file) for each electrode assembly having a non-regular structure as described above. Based on the calibration data, processor 39 is configured to compensate for the shape irregularity in the calculation of the direction and propagation speed of the wavefronts caused by the ECG signals, or by any other signals of patient 28.
In some embodiments, electrode assembly 400 comprises three electrodes 401, 402 and 403, which are coupled to or embedded in PCB 48 of spine 42. Electrodes 401-403 may be arranged in a uniform or non-uniform geometry as described, for example, in
In some embodiments, processor 39 is configured to receive electrical signals from electrodes 401-403, which are indicative of the direction and propagation speed of wavefronts caused by the ECG signals in heart 26. In some embodiments, the electrical signals may be measured with respect to a reference electrode, also referred to herein as a common electrode, such as a virtual electrode, which is not shown in
In some embodiments, the virtual electrode may be calculated from two or more body surface electrodes, which are coupled to a skin of patient 28 using a patch or any other suitable coupling technique. One such example of a virtual electrode would be a Wilson's central terminal (WCT).
In alternative embodiments, the dipoles may be formed between two or more physical electrodes, such as any of electrodes 401-403, and a virtual electrode.
In some embodiments, based on these electrical signals and the techniques described, for example, in
In alternative embodiments, electrodes 401-403 may be arranged in three dipoles (not shown), a first dipole between electrodes 401 and 402, a second dipole between electrodes 402 and 403, and a third dipole between electrodes 403 and 401. Each of these dipoles is configured to sense electrical signals of body tissues indicative of the sensed values of voltage using the technique described in
The configuration of electrode assemblies 50, 100, 200, 300 and 400 are provided by way of example, for demonstrating an example probe or another device in which any of these electrode assemblies may be integrated and used. Alternatively, any other suitable configurations can also be used, for example, using any suitable number of electrodes and/or reference electrodes having any suitable distances therebetween, applying different shape and size of electrode assemblies and of individual electrode or groups of electrodes within the respective electrode assembly. Furthermore, each electrode may be coupled to any suitable type of device, such as processor or controller, using any type coupling technique, and the signals sensed by the electrodes may be transmitted to the device using any suitable communication technique.
Although the embodiments described herein mainly address sensing the direction and propagation speed of anatomical signals in patient heart, the methods and systems described herein can also be used in other applications, such as in sensing the direction and propagation speed of anatomical signals in any other organ of the patient or on the patient skin.
It will thus be appreciated that the embodiments described above are cited by way of example, and that the present invention is not limited to what has been particularly shown and described hereinabove. Rather, the scope of the present 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. Documents incorporated by reference in the present patent application are to be considered an integral part of the application except that to the extent any terms are defined in these incorporated documents in a manner that conflicts with the definitions made explicitly or implicitly in the present specification, only the definitions in the present specification should be considered.
This application is a continuation of U.S. patent application Ser. No. 16/235,769, filed 28 Dec. 2018, and granted as U.S. Pat. No. 11,207,016, the contents of which are incorporated herein by reference as if presented in full.
Number | Name | Date | Kind |
---|---|---|---|
4660571 | Hess et al. | Apr 1987 | A |
4699147 | Chilson et al. | Oct 1987 | A |
4940064 | Desai | Jul 1990 | A |
5215103 | Desai | Jun 1993 | A |
5255679 | Imran | Oct 1993 | A |
5293869 | Edwards et al. | Mar 1994 | A |
5309910 | Edwards et al. | May 1994 | A |
5313943 | Houser et al. | May 1994 | A |
5324284 | Imran | Jun 1994 | A |
5345936 | Pomeranz et al. | Sep 1994 | A |
5365926 | Desai | Nov 1994 | A |
5391199 | Ben-Haim | Feb 1995 | A |
5396887 | Imran | Mar 1995 | A |
5400783 | Pomeranz et al. | Mar 1995 | A |
5411025 | Webster, Jr. | May 1995 | A |
5415166 | Imran | May 1995 | A |
5456254 | Pietroski et al. | Oct 1995 | A |
5465717 | Imran et al. | Nov 1995 | A |
5476495 | Kordis et al. | Dec 1995 | A |
5482037 | Borghi | Jan 1996 | A |
5499981 | Kordis | Mar 1996 | A |
5526810 | Wang | Jun 1996 | A |
5546940 | Panescu et al. | Aug 1996 | A |
5549108 | Edwards et al. | Aug 1996 | A |
5553611 | Budd | Sep 1996 | A |
5558073 | Pomeranz et al. | Sep 1996 | A |
5577509 | Panescu et al. | Nov 1996 | A |
5595183 | Swanson et al. | Jan 1997 | A |
5598848 | Swanson et al. | Feb 1997 | A |
5609157 | Panescu et al. | Mar 1997 | A |
5628313 | Webster, Jr. | May 1997 | A |
5681280 | Rusk et al. | Oct 1997 | A |
5722401 | Pietroski et al. | Mar 1998 | A |
5722403 | McGee et al. | Mar 1998 | A |
5725525 | Kordis | Mar 1998 | A |
5730128 | Pomeranz et al. | Mar 1998 | A |
5772590 | Webster, Jr. | Jun 1998 | A |
5782899 | Imran | Jul 1998 | A |
5823189 | Kordis | Oct 1998 | A |
5881727 | Edwards | Mar 1999 | A |
5893847 | Kordis | Apr 1999 | A |
5904680 | Kordis et al. | May 1999 | A |
5911739 | Kordis et al. | Jun 1999 | A |
5928228 | Kordis et al. | Jul 1999 | A |
5968040 | Swanson et al. | Oct 1999 | A |
6014579 | Pomeranz et al. | Jan 2000 | A |
6014590 | Whayne et al. | Jan 2000 | A |
6050267 | Nardella et al. | Apr 2000 | A |
6064905 | Webster, Jr. et al. | May 2000 | A |
6119030 | Morency | Sep 2000 | A |
6216043 | Swanson et al. | Apr 2001 | B1 |
6216044 | Kordis | Apr 2001 | B1 |
6239724 | Doron et al. | May 2001 | B1 |
6332089 | Acker et al. | Dec 2001 | B1 |
6428537 | Swanson et al. | Aug 2002 | B1 |
6456864 | Swanson et al. | Sep 2002 | B1 |
6484118 | Govari | Nov 2002 | B1 |
6574492 | Ben-Haim et al. | Jun 2003 | B1 |
6584345 | Govari | Jun 2003 | B2 |
6600948 | Ben-Haim et al. | Jul 2003 | B2 |
6618612 | Acker et al. | Sep 2003 | B1 |
6690963 | Ben-Haim et al. | Feb 2004 | B2 |
6738655 | Sen et al. | May 2004 | B1 |
6741878 | Fuimaono et al. | May 2004 | B2 |
6748255 | Fuimaono et al. | Jun 2004 | B2 |
6780183 | Jimenez, Jr. et al. | Aug 2004 | B2 |
6837886 | Collins et al. | Jan 2005 | B2 |
6866662 | Fuimaono et al. | Mar 2005 | B2 |
6892091 | Ben-Haim et al. | May 2005 | B1 |
6970730 | Fuimaono et al. | Nov 2005 | B2 |
6973340 | Fuimaono et al. | Dec 2005 | B2 |
6980858 | Fuimaono et al. | Dec 2005 | B2 |
7048734 | Fleischman et al. | May 2006 | B1 |
7149563 | Fuimaono et al. | Dec 2006 | B2 |
7255695 | Falwell et al. | Aug 2007 | B2 |
7257434 | Fuimaono et al. | Aug 2007 | B2 |
7399299 | Daniel et al. | Jul 2008 | B2 |
7410486 | Fuimaono et al. | Aug 2008 | B2 |
7522950 | Fuimaono et al. | Apr 2009 | B2 |
RE41334 | Beatty et al. | May 2010 | E |
7846157 | Kozel | Dec 2010 | B2 |
7930018 | Harlev et al. | Apr 2011 | B2 |
8007495 | McDaniel et al. | Aug 2011 | B2 |
8048063 | Aeby et al. | Nov 2011 | B2 |
8103327 | Harlev et al. | Jan 2012 | B2 |
8167845 | Wang et al. | May 2012 | B2 |
8224416 | De La Rama et al. | Jul 2012 | B2 |
8235988 | Davis et al. | Aug 2012 | B2 |
8346339 | Kordis et al. | Jan 2013 | B2 |
8435232 | Aeby et al. | May 2013 | B2 |
8447377 | Harlev et al. | May 2013 | B2 |
8498686 | Grunewald | Jul 2013 | B2 |
8517999 | Pappone et al. | Aug 2013 | B2 |
8545490 | Mihajlovic et al. | Oct 2013 | B2 |
8560086 | Just et al. | Oct 2013 | B2 |
8567265 | Aeby et al. | Oct 2013 | B2 |
8712550 | Grunewald | Apr 2014 | B2 |
8755861 | Harlev et al. | Jun 2014 | B2 |
8825130 | Just et al. | Sep 2014 | B2 |
8906011 | Gelbart et al. | Dec 2014 | B2 |
8945120 | McDaniel et al. | Feb 2015 | B2 |
8979839 | De La Rama et al. | Mar 2015 | B2 |
9037264 | Just et al. | May 2015 | B2 |
9131980 | Bloom | Sep 2015 | B2 |
9204929 | Solis | Dec 2015 | B2 |
9277960 | Weinkam et al. | Mar 2016 | B2 |
9314208 | Altmann et al. | Apr 2016 | B1 |
9339331 | Tegg et al. | May 2016 | B2 |
9486282 | Solis | Nov 2016 | B2 |
9554718 | Bar-Tal et al. | Jan 2017 | B2 |
D782686 | Werneth et al. | Mar 2017 | S |
9585588 | Marecki et al. | Mar 2017 | B2 |
9597036 | Aeby et al. | Mar 2017 | B2 |
9687297 | Just et al. | Jun 2017 | B2 |
9693733 | Altmann et al. | Jul 2017 | B2 |
9782099 | Williams et al. | Oct 2017 | B2 |
9788895 | Solis | Oct 2017 | B2 |
9801681 | Laske et al. | Oct 2017 | B2 |
9814618 | Nguyen et al. | Nov 2017 | B2 |
9833161 | Govari | Dec 2017 | B2 |
9894756 | Weinkam et al. | Feb 2018 | B2 |
9895073 | Solis | Feb 2018 | B2 |
9907609 | Cao et al. | Mar 2018 | B2 |
9974460 | Wu et al. | May 2018 | B2 |
9986949 | Govari et al. | Jun 2018 | B2 |
9993160 | Salvestro et al. | Jun 2018 | B2 |
10014607 | Govari et al. | Jul 2018 | B1 |
10028376 | Weinkam et al. | Jul 2018 | B2 |
10034637 | Harlev et al. | Jul 2018 | B2 |
10039494 | Altmann et al. | Aug 2018 | B2 |
10045707 | Govari | Aug 2018 | B2 |
10078713 | Auerbach et al. | Sep 2018 | B2 |
10111623 | Jung et al. | Oct 2018 | B2 |
10130420 | Basu et al. | Nov 2018 | B2 |
10136828 | Houben et al. | Nov 2018 | B2 |
10143394 | Solis | Dec 2018 | B2 |
10172536 | Maskara et al. | Jan 2019 | B2 |
10182762 | Just et al. | Jan 2019 | B2 |
10194818 | Williams et al. | Feb 2019 | B2 |
10201311 | Chou et al. | Feb 2019 | B2 |
10219860 | Harlev et al. | Mar 2019 | B2 |
10219861 | Just et al. | Mar 2019 | B2 |
10231328 | Weinkam et al. | Mar 2019 | B2 |
10238309 | Bar-Tal et al. | Mar 2019 | B2 |
10278590 | Salvestro et al. | May 2019 | B2 |
D851774 | Werneth et al. | Jun 2019 | S |
10314505 | Williams et al. | Jun 2019 | B2 |
10314507 | Govari et al. | Jun 2019 | B2 |
10314648 | Ge et al. | Jun 2019 | B2 |
10314649 | Bakos et al. | Jun 2019 | B2 |
10349855 | Zeidan et al. | Jul 2019 | B2 |
10350003 | Weinkam et al. | Jul 2019 | B2 |
10362991 | Tran et al. | Jul 2019 | B2 |
10375827 | Weinkam et al. | Aug 2019 | B2 |
10376170 | Quinn et al. | Aug 2019 | B2 |
10376221 | Iyun et al. | Aug 2019 | B2 |
10398348 | Osadchy et al. | Sep 2019 | B2 |
10403053 | Katz et al. | Sep 2019 | B2 |
10441188 | Katz et al. | Oct 2019 | B2 |
10470682 | Deno et al. | Nov 2019 | B2 |
10470714 | Altmann et al. | Nov 2019 | B2 |
10482198 | Auerbach et al. | Nov 2019 | B2 |
10492857 | Guggenberger et al. | Dec 2019 | B2 |
10542620 | Weinkam et al. | Jan 2020 | B2 |
10575743 | Basu et al. | Mar 2020 | B2 |
10575745 | Solis | Mar 2020 | B2 |
10582871 | Williams et al. | Mar 2020 | B2 |
10582894 | Ben Zrihem et al. | Mar 2020 | B2 |
10596346 | Aeby et al. | Mar 2020 | B2 |
10602947 | Govari et al. | Mar 2020 | B2 |
10617867 | Viswanathan et al. | Apr 2020 | B2 |
10660702 | Viswanathan et al. | May 2020 | B2 |
10667753 | Werneth et al. | Jun 2020 | B2 |
10674929 | Houben et al. | Jun 2020 | B2 |
10681805 | Weinkam et al. | Jun 2020 | B2 |
10682181 | Cohen et al. | Jun 2020 | B2 |
10687892 | Long et al. | Jun 2020 | B2 |
10702178 | Dahlen et al. | Jul 2020 | B2 |
10716477 | Salvestro et al. | Jul 2020 | B2 |
10758304 | Aujla | Sep 2020 | B2 |
10765371 | Hayam et al. | Sep 2020 | B2 |
10772566 | Aujila | Sep 2020 | B2 |
10799281 | Goertzen et al. | Oct 2020 | B2 |
10842558 | Harlev et al. | Nov 2020 | B2 |
10842561 | Viswanathan et al. | Nov 2020 | B2 |
10863914 | Govari et al. | Dec 2020 | B2 |
10881376 | Shemesh et al. | Jan 2021 | B2 |
10898139 | Guta et al. | Jan 2021 | B2 |
10905329 | Bar-Tal et al. | Feb 2021 | B2 |
10912484 | Ziv-Ari et al. | Feb 2021 | B2 |
10918306 | Govari et al. | Feb 2021 | B2 |
10939871 | Altmann et al. | Mar 2021 | B2 |
10952795 | Cohen et al. | Mar 2021 | B2 |
10973426 | Williams et al. | Apr 2021 | B2 |
10973461 | Baram et al. | Apr 2021 | B2 |
10987045 | Basu et al. | Apr 2021 | B2 |
11006902 | Bonyak et al. | May 2021 | B1 |
11040208 | Govari et al. | Jun 2021 | B1 |
11045628 | Beeckler et al. | Jun 2021 | B2 |
11051877 | Sliwa et al. | Jul 2021 | B2 |
11109788 | Rottmann et al. | Sep 2021 | B2 |
11116435 | Urman et al. | Sep 2021 | B2 |
11129574 | Cohen et al. | Sep 2021 | B2 |
11160482 | Solis | Nov 2021 | B2 |
11164371 | Yellin et al. | Nov 2021 | B2 |
20010005792 | Steglich | Jun 2001 | A1 |
20020065455 | Ben-Haim et al. | May 2002 | A1 |
20030120150 | Govari | Jun 2003 | A1 |
20030220578 | Ho | Nov 2003 | A1 |
20040068178 | Govari | Apr 2004 | A1 |
20040210121 | Fuimaono et al. | Oct 2004 | A1 |
20060009689 | Fuimaono et al. | Jan 2006 | A1 |
20060009690 | Fuimaono et al. | Jan 2006 | A1 |
20060100669 | Fuimaono et al. | May 2006 | A1 |
20070066876 | Hallin | Mar 2007 | A1 |
20070093806 | Desai et al. | Apr 2007 | A1 |
20070276212 | Fuimaono et al. | Nov 2007 | A1 |
20080234564 | Beatty et al. | Sep 2008 | A1 |
20090221897 | Nieuwkoop | Sep 2009 | A1 |
20100010583 | Panken et al. | Jan 2010 | A1 |
20100268038 | Smith | Oct 2010 | A1 |
20110118726 | De La Rama et al. | May 2011 | A1 |
20110160574 | Harlev et al. | Jun 2011 | A1 |
20110190625 | Harlev et al. | Aug 2011 | A1 |
20110245756 | Arora et al. | Oct 2011 | A1 |
20110301597 | McDaniel et al. | Dec 2011 | A1 |
20130172872 | Subramaniam et al. | Jul 2013 | A1 |
20130172883 | Lopes et al. | Jul 2013 | A1 |
20130178850 | Lopes et al. | Jul 2013 | A1 |
20130190587 | Lopes et al. | Jul 2013 | A1 |
20130296852 | Madjarov et al. | Nov 2013 | A1 |
20140025069 | Willard et al. | Jan 2014 | A1 |
20140052118 | Laske et al. | Feb 2014 | A1 |
20140081114 | Shachar et al. | Mar 2014 | A1 |
20140121470 | Scharf | May 2014 | A1 |
20140180147 | Thakur et al. | Jun 2014 | A1 |
20140180151 | Maskara et al. | Jun 2014 | A1 |
20140180152 | Maskara et al. | Jun 2014 | A1 |
20140257069 | Eliason et al. | Sep 2014 | A1 |
20140276712 | Mallin et al. | Sep 2014 | A1 |
20140309512 | Govari et al. | Oct 2014 | A1 |
20150011991 | Buysman et al. | Jan 2015 | A1 |
20150045863 | Litscher et al. | Feb 2015 | A1 |
20150066122 | Govea | Mar 2015 | A1 |
20150080693 | Solis | Mar 2015 | A1 |
20150105770 | Amit | Apr 2015 | A1 |
20150119878 | Heisel et al. | Apr 2015 | A1 |
20150133919 | McDaniel et al. | May 2015 | A1 |
20150208942 | Bar-Tal et al. | Jul 2015 | A1 |
20150250424 | Govari et al. | Sep 2015 | A1 |
20150270634 | Buesseler et al. | Sep 2015 | A1 |
20150342532 | Basu et al. | Dec 2015 | A1 |
20150351652 | Marecki et al. | Dec 2015 | A1 |
20160081746 | Solis | Mar 2016 | A1 |
20160113582 | Altmann et al. | Apr 2016 | A1 |
20160113709 | Maor | Apr 2016 | A1 |
20160183877 | Williams et al. | Jun 2016 | A1 |
20160228023 | Govari | Aug 2016 | A1 |
20160228062 | Altmann et al. | Aug 2016 | A1 |
20160242667 | Fay et al. | Aug 2016 | A1 |
20160278853 | Ogle et al. | Sep 2016 | A1 |
20160302858 | Bencini | Oct 2016 | A1 |
20160317093 | Berenfeld et al. | Nov 2016 | A1 |
20160338770 | Bar-Tal et al. | Nov 2016 | A1 |
20170027638 | Solis | Feb 2017 | A1 |
20170042449 | Deno | Feb 2017 | A1 |
20170065227 | Marrs et al. | Mar 2017 | A1 |
20170071543 | Basu et al. | Mar 2017 | A1 |
20170071544 | Basu et al. | Mar 2017 | A1 |
20170071665 | Solis | Mar 2017 | A1 |
20170095173 | Bar-Tal et al. | Apr 2017 | A1 |
20170100187 | Basu et al. | Apr 2017 | A1 |
20170143227 | Marecki et al. | May 2017 | A1 |
20170156790 | Aujla | Jun 2017 | A1 |
20170172442 | Govari | Jun 2017 | A1 |
20170185702 | Auerbach et al. | Jun 2017 | A1 |
20170202515 | Zrihem et al. | Jul 2017 | A1 |
20170221262 | Laughner et al. | Aug 2017 | A1 |
20170224958 | Cummings et al. | Aug 2017 | A1 |
20170265812 | Williams et al. | Sep 2017 | A1 |
20170281031 | Houben et al. | Oct 2017 | A1 |
20170281268 | Tran et al. | Oct 2017 | A1 |
20170296125 | Altmann et al. | Oct 2017 | A1 |
20170296251 | Wu et al. | Oct 2017 | A1 |
20170347959 | Guta et al. | Dec 2017 | A1 |
20170354338 | Levin et al. | Dec 2017 | A1 |
20170354339 | Zeidan et al. | Dec 2017 | A1 |
20170354364 | Bar-Tal et al. | Dec 2017 | A1 |
20180008203 | Iyun et al. | Jan 2018 | A1 |
20180028084 | Williams et al. | Feb 2018 | A1 |
20180049803 | Solis | Feb 2018 | A1 |
20180085064 | Auerbach et al. | Mar 2018 | A1 |
20180132749 | Govari et al. | May 2018 | A1 |
20180137687 | Katz et al. | May 2018 | A1 |
20180160936 | Govari | Jun 2018 | A1 |
20180160978 | Cohen et al. | Jun 2018 | A1 |
20180168511 | Hall et al. | Jun 2018 | A1 |
20180184982 | Basu et al. | Jul 2018 | A1 |
20180192958 | Wu | Jul 2018 | A1 |
20180206792 | Auerbach et al. | Jul 2018 | A1 |
20180235692 | Efimov et al. | Aug 2018 | A1 |
20180249959 | Osypka | Sep 2018 | A1 |
20180256109 | Wu et al. | Sep 2018 | A1 |
20180256248 | Bae et al. | Sep 2018 | A1 |
20180279954 | Hayam et al. | Oct 2018 | A1 |
20180303362 | Koertge | Oct 2018 | A1 |
20180303414 | Toth et al. | Oct 2018 | A1 |
20180310987 | Altmann et al. | Nov 2018 | A1 |
20180311497 | Mswanathan et al. | Nov 2018 | A1 |
20180338722 | Altmann et al. | Nov 2018 | A1 |
20180344188 | Govari | Dec 2018 | A1 |
20180344202 | Bar-Tal et al. | Dec 2018 | A1 |
20180344251 | Harlev et al. | Dec 2018 | A1 |
20180344393 | Gruba et al. | Dec 2018 | A1 |
20180360534 | Teplitsky et al. | Dec 2018 | A1 |
20180365355 | Auerbach et al. | Dec 2018 | A1 |
20190000540 | Cohen et al. | Jan 2019 | A1 |
20190008582 | Govari et al. | Jan 2019 | A1 |
20190015007 | Rottmann et al. | Jan 2019 | A1 |
20190030328 | Stewart et al. | Jan 2019 | A1 |
20190053708 | Gliner | Feb 2019 | A1 |
20190059766 | Houben et al. | Feb 2019 | A1 |
20190069950 | Mswanathan et al. | Mar 2019 | A1 |
20190069954 | Cohen et al. | Mar 2019 | A1 |
20190117111 | Osadchy et al. | Apr 2019 | A1 |
20190117303 | Claude et al. | Apr 2019 | A1 |
20190117315 | Keyes et al. | Apr 2019 | A1 |
20190125439 | Rohl et al. | May 2019 | A1 |
20190133552 | Shemesh et al. | May 2019 | A1 |
20190142293 | Solis | May 2019 | A1 |
20190164633 | Ingel et al. | May 2019 | A1 |
20190167137 | Bar-Tal et al. | Jun 2019 | A1 |
20190167140 | Williams et al. | Jun 2019 | A1 |
20190188909 | Yellin et al. | Jun 2019 | A1 |
20190201664 | Govari | Jul 2019 | A1 |
20190209089 | Baram et al. | Jul 2019 | A1 |
20190216346 | Ghodrati et al. | Jul 2019 | A1 |
20190216347 | Ghodrati et al. | Jul 2019 | A1 |
20190231421 | Mswanathan et al. | Aug 2019 | A1 |
20190231423 | Weinkam et al. | Aug 2019 | A1 |
20190239811 | Just et al. | Aug 2019 | A1 |
20190246935 | Govari et al. | Aug 2019 | A1 |
20190298442 | Ogata et al. | Oct 2019 | A1 |
20190314083 | Herrera et al. | Oct 2019 | A1 |
20190328260 | Zeidan et al. | Oct 2019 | A1 |
20190343580 | Nguyen et al. | Nov 2019 | A1 |
20200000518 | Kiernan et al. | Jan 2020 | A1 |
20200008705 | Ziv-Ari et al. | Jan 2020 | A1 |
20200008869 | Byrd | Jan 2020 | A1 |
20200009378 | Stewart et al. | Jan 2020 | A1 |
20200015890 | To et al. | Jan 2020 | A1 |
20200022653 | Moisa | Jan 2020 | A1 |
20200029845 | Baram et al. | Jan 2020 | A1 |
20200046421 | Govari | Feb 2020 | A1 |
20200046423 | Viswanathan et al. | Feb 2020 | A1 |
20200060569 | Tegg | Feb 2020 | A1 |
20200077959 | Altmann et al. | Mar 2020 | A1 |
20200093539 | Long et al. | Mar 2020 | A1 |
20200129089 | Gliner et al. | Apr 2020 | A1 |
20200129125 | Govari et al. | Apr 2020 | A1 |
20200129128 | Gliner et al. | Apr 2020 | A1 |
20200179650 | Beeckler et al. | Jun 2020 | A1 |
20200187808 | Yang | Jun 2020 | A1 |
20200196896 | Solis | Jun 2020 | A1 |
20200205689 | Squires et al. | Jul 2020 | A1 |
20200205690 | Williams et al. | Jul 2020 | A1 |
20200205737 | Beeckler | Jul 2020 | A1 |
20200205876 | Govari | Jul 2020 | A1 |
20200205892 | Viswanathan et al. | Jul 2020 | A1 |
20200206461 | Govari et al. | Jul 2020 | A1 |
20200206498 | Arora et al. | Jul 2020 | A1 |
20200289197 | Mswanathan et al. | Sep 2020 | A1 |
20200297234 | Houben et al. | Sep 2020 | A1 |
20200297281 | Basu et al. | Sep 2020 | A1 |
20200305726 | Salvestro et al. | Oct 2020 | A1 |
20200305946 | DeSimone et al. | Oct 2020 | A1 |
20200397328 | Altmann et al. | Dec 2020 | A1 |
20200398048 | Krimsky et al. | Dec 2020 | A1 |
20210015549 | Haghighi-Mood et al. | Jan 2021 | A1 |
20210022684 | Govari et al. | Jan 2021 | A1 |
20210045805 | Govari et al. | Feb 2021 | A1 |
20210059549 | Urman et al. | Mar 2021 | A1 |
20210059550 | Urman et al. | Mar 2021 | A1 |
20210059608 | Beeckler et al. | Mar 2021 | A1 |
20210059743 | Govari | Mar 2021 | A1 |
20210059747 | Krans et al. | Mar 2021 | A1 |
20210077184 | Basu et al. | Mar 2021 | A1 |
20210082157 | Rosenberg et al. | Mar 2021 | A1 |
20210085200 | Auerbach et al. | Mar 2021 | A1 |
20210085204 | Auerbach et al. | Mar 2021 | A1 |
20210085215 | Auerbach et al. | Mar 2021 | A1 |
20210085387 | Amit et al. | Mar 2021 | A1 |
20210093292 | Baram et al. | Apr 2021 | A1 |
20210093294 | Shemesh et al. | Apr 2021 | A1 |
20210093374 | Govari et al. | Apr 2021 | A1 |
20210093377 | Herrera et al. | Apr 2021 | A1 |
20210100612 | Baron et al. | Apr 2021 | A1 |
20210113822 | Beeckler et al. | Apr 2021 | A1 |
20210127999 | Govari et al. | May 2021 | A1 |
20210128010 | Govari et al. | May 2021 | A1 |
20210133516 | Govari et al. | May 2021 | A1 |
20210145282 | Bar-Tal et al. | May 2021 | A1 |
20210169421 | Govari | Jun 2021 | A1 |
20210169568 | Govari et al. | Jun 2021 | A1 |
20210177294 | Gliner et al. | Jun 2021 | A1 |
20210177356 | Gliner et al. | Jun 2021 | A1 |
20210178166 | Govari et al. | Jun 2021 | A1 |
20210186363 | Gliner et al. | Jun 2021 | A1 |
20210187241 | Govari et al. | Jun 2021 | A1 |
20210196372 | Altmann et al. | Jul 2021 | A1 |
20210196394 | Govari et al. | Jul 2021 | A1 |
20210212591 | Govari et al. | Jul 2021 | A1 |
20210219904 | Yarnitsky et al. | Jul 2021 | A1 |
20210278936 | Katz et al. | Sep 2021 | A1 |
20210282659 | Govari et al. | Sep 2021 | A1 |
20210307815 | Govari et al. | Oct 2021 | A1 |
20210308424 | Beeckler et al. | Oct 2021 | A1 |
20210338319 | Govari et al. | Nov 2021 | A1 |
Number | Date | Country |
---|---|---|
104720890 | Jun 2015 | CN |
102871727 N | Jul 2015 | CN |
111248993 | Jun 2020 | CN |
111248996 | Jun 2020 | CN |
0668740 | Aug 1995 | EP |
0644738 | Mar 2000 | EP |
0727183 | Nov 2002 | EP |
0727184 | Dec 2002 | EP |
2783651 | Oct 2014 | EP |
2699151 | Nov 2015 | EP |
2699152 | Nov 2015 | EP |
2699153 | Dec 2015 | EP |
2498706 | Apr 2016 | EP |
2578173 | Jun 2017 | EP |
3238645 | Nov 2017 | EP |
2884931 | Jan 2018 | EP |
2349440 | Aug 2019 | EP |
3318211 | Dec 2019 | EP |
3581135 | Dec 2019 | EP |
2736434 | Feb 2020 | EP |
3451962 | Mar 2020 | EP |
3972510 | Mar 2022 | EP |
2017511166 | Apr 2017 | JP |
9421167 | Sep 1994 | WO |
9421169 | Sep 1994 | WO |
WO 9605768 | Feb 1996 | WO |
9625095 | Aug 1996 | WO |
9634560 | Nov 1996 | WO |
0182814 | May 2002 | WO |
2004087249 | Oct 2004 | WO |
2012100185 | Jul 2012 | WO |
2013052852 | Apr 2013 | WO |
2013162884 | Oct 2013 | WO |
2013173917 | Nov 2013 | WO |
2013176881 | Nov 2013 | WO |
2014176205 | Oct 2014 | WO |
2016019760 | Feb 2016 | WO |
2016044687 | Mar 2016 | WO |
2018111600 | Jun 2018 | WO |
2018191149 | Oct 2018 | WO |
2019084442 | May 2019 | WO |
2019143960 | Jul 2019 | WO |
2020026217 | Feb 2020 | WO |
2020206328 | Oct 2020 | WO |
Entry |
---|
Cantwell, C. D., et al. “Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping” Computers in Biology and Medicine, pp. 1-17 (18 pages submitted) Apr. 2015. |
Extended European Search Report dated May 28, 2020, from corresponding EP Application No. 19219607.9. |
Horner S M et al: 11 Electrode for recording direction of activation, conduction velocity, and monophasic action potential of myocardium, American Journal of Physiology: Heart and Circulatory Physiology, American Physiological Society, US, vol. 272, No. 4 41-4, Apr. 1, 1997 (Apr. 1, 1997), pp. H1917-H1927, XP008169988, ISSN: 0363-6135 * section “Methods”; figures 1-3. |
Notification of Reasons for Refusal dated Jul. 25, 2023, from corresponding Japanese Application No. 2019-237790. |
English translation of First Office Action dated May 31, 2023, from corresponding Chinese Application No. CN201911377849.X. |
Extended European Search Report and Opinion dated Oct. 9, 2024, from corresponding EP Application No. 24172946.6. |
English translation of Written Opinion dated Oct. 20, 2023, from corresponding Japanese Application No. 2019-237790. |
English translation of Notice of Reasons for Refusal dated Jan. 16, 2024, from corresponding Japanese Application No. 2019-237790. |
English translation of Written Opinion dated Apr. 15, 2024, from corresponding Japanese Application No. 2019-237790. |
English translation of Decision to Grant a Patent dated Jul. 2, 2024, from corresponding Japanese Application No. 2019-237790. |
Number | Date | Country | |
---|---|---|---|
20220079496 A1 | Mar 2022 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16235769 | Dec 2018 | US |
Child | 17534675 | US |