The present invention relates to digital data and energy transmission methods for use with implantable medical devices, and more specifically, to signal conditioning of the data signal to be more robust against random variations and unknown parameters.
Many implantable medical devices receive an externally generated data signal which may also act as the source of electrical power for the implant. Typically, data signals are transferred in such systems using Near Field Communication (NFC) in the high-frequency (HF) radio frequency (RF) band (3-30 MHz) over an electromagnetic field induction link. For example, a magnetic field induction (MFI) link can transmit and receive data between an external signal processor and the implanted device based on transformer-type induction between two aligned coils—one external and one internal.
The external signal processor in such applications can be thought of as a self powered initiator (e.g., by batteries), where the implanted device is a non-self powered target device that is remotely powered through the MFI link by extracting electrical energy from the transmitted RF data signal. The implanted device can answer to an external command to provide telemetry feedback data, for example, by load modulation of the transmitted signal by the implanted device. A telemetry circuit in the external signal processor then can demodulate this load-modulated RF feedback signal.
Digital data transmission generally occurs at a fixed data bit rate of some R bits/second.
Under low-complexity constraints, demodulation and detection make use of non-coherent schemes. That is, in contrast to coherent schemes based on phase-locked loops (PLLs) and Costas loops which are relatively complex to implement, in non-coherent approaches demodulation is performed without recovering the rf carrier and detection is performed without recovering the original timing. In the example shown in
Low-complexity detection methods are commonly used which are based on asynchronous over-sampling and counting (O&C) algorithms, but these are not very robust against variations. In asynchronous over-sampling, the demodulated signal is sampled at some kR samples per second (k is usually a number greater than 3) by a clock unrelated to the encoder clock (no frequency or phase relationship between the clocks is imposed). The counting algorithm counts the samples in a HI (LO) state and decides based on a fixed decision interval (i.e. a discrete set of integers) whether the current count signifies a double-wide HI (double-wide LO) or a single-wide HI (single-wide LO). Decoding into a logic ONE/ZERO stream (i.e. a non-return to zero stream, NRZ stream) follows straightforwardly. Data detection is discussed at greater length in the following: U.S. Pat. Nos. 5,741,314; 6,600,955; 4,361,895; and U.S. Pat. No. 6,628,212; the contents of which are incorporated herein by reference.
Embodiments of the present invention are directed to a signal processor for communication with an implanted medical device. An external processor transmits to the implanted medical device an implant data signal having a sequence of HI and LOW logic states at a fixed data bit rate. The pulse width durations of the HI and LOW logic states is adjustable in response to feedback telemetry data from the implantable medical device.
In specific embodiments, the external processor may use an electromagnetic field induction link for transmitting a high-frequency band radio frequency between 3 MHz and 30 MHz. The implant data signal may be encoded using Manchester data encoding. The adjustable pulse width durations may be selectable from a group of pre-determined pulse width durations.
In any of the above embodiments, the implanted medical device may be a cochlear implant device.
For a near field communication (NFC) system as implemented for an implantable device such as a cochlear implant, variations in parameters and conditions strongly affect the shape of the HF signal and therefrom the duration of HI and LO logic states. Therefore, the robustness of a detection algorithm based on an O&C algorithm is strongly limited by the over-sampling factor (k) and the decision intervals. While k strongly affects power consumption (the higher k, the higher power consumption) and is therefore limited, the decision intervals are a free design parameter. In order to improve robustness, the decision intervals may be defined in an adaptive manner where a known training sequence at startup sets the optimum interval at the target's decoder.
As explained above, a typical NFC system may be characterized by:
In the pre-conditioner 201, the pulse width ratio between the HI logic state and LO logic state, referred to as the “delta” is set as shown in
A state machine in the control block 208 implements the specific procedure for setting the PW delta as shown in
Embodiments of the invention may be implemented in any conventional computer programming language. For example, preferred embodiments may be implemented in a procedural programming language (e.g., “C”) or an object oriented programming language (e.g., “C++”, Python). Alternative embodiments of the invention may be implemented as pre-programmed hardware elements (e.g., ASIC or FPGA), other related components, or as a combination of hardware and software components.
Embodiments can be implemented as a computer program product for use with a computer system. Such implementation may include a series of computer instructions fixed either on a tangible medium, such as a computer readable medium (e.g., a diskette, CD-ROM, ROM, or fixed disk) or transmittable to a computer system, via a modem or other interface device, such as a communications adapter connected to a network over a medium. The medium may be either a tangible medium (e.g., optical or analog communications lines) or a medium implemented with wireless techniques (e.g., microwave, infrared or other transmission techniques). The series of computer instructions embodies all or part of the functionality previously described herein with respect to the system. Those skilled in the art should appreciate that such computer instructions can be written in a number of programming languages for use with many computer architectures or operating systems. Furthermore, such instructions may be stored in any memory device, such as semiconductor, magnetic, optical or other memory devices, and may be transmitted using any communications technology, such as optical, infrared, microwave, or other transmission technologies. It is expected that such a computer program product may be distributed as a removable medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the network (e.g., the Internet or World Wide Web). Of course, some embodiments of the invention may be implemented as a combination of both software (e.g., a computer program product) and hardware. Still other embodiments of the invention are implemented as entirely hardware, or entirely software (e.g., a computer program product).
Although various exemplary embodiments of the invention have been disclosed, it should be apparent to those skilled in the art that various changes and modifications can be made which will achieve some of the advantages of the invention without departing from the true scope of the invention.
This application claims priority from U.S. Provisional Patent Application 60/955,063, filed Aug. 10, 2007, which is incorporated herein by reference.
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