Medtronic, Inc.

Robert A Corey

James D Reinke

Yong Kyun Cho

Saul E Greenhut

Karen J Kleckner

Scott R Stanslaski

Tommy Dean Bennett

Jonathan P Roberts

Mark K Erickson

Michael B Terry

Jadin C Jackson

Maneesh Shrivastav

Heather Diane Orser

Robert Michael Ecker

Kristin N Hageman

David A Dinsmoor

Christopher L Pulliam

Joel A Anderson

Charles P Sperling

Gregory J Loxtercamp

Kaustubh R Patil

Todd V Smith

Hank Bink

Glenn M Roline

Thomas Adamski

Heba Tareq Omar

Karin J Kleckner

Systems, devices, and techniques are described for calibrating a medical device that senses ECAP signals from a patient's nerve tissue. For example a method includes instructing, with processing circuitry, stimulation circuitry of a medical device to deliver, on stimulation electrodes of the medical device, an electrical stimulation signal having an amplitude substantially equal to zero to a patient, entering, with the processing circuitry subsequent to instructing the stimulation circuitry to deliver the electrical stimulation signal, a passive recharge state on stimulation electrode circuitry, and auto-zeroing, with the processing circuitry, inputs to an operational amplifier of sensing circuitry electrically coupled to sensing electrodes of the medical device while the stimulation electrode circuitry is in the passive recharge state.

Calibration for ECAP sensing

Systems, devices, and techniques are described for analyzing evoked compound action potentials (ECAP) signals to assess the effect of a delivered electrical stimulation signal. In one example, a system includes a stimulation generator configured to deliver a stimulation pulse to a patient, sensing circuitry configured to sense an evoked compound action potential (ECAP) signal evoked from the stimulation pulse, and processing circuitry. The processing circuitry may be configured to determine a maximum value of a derivative of the ECAP signal, determine a minimum value of the derivative of the ECAP signal, determine, based on the maximum value of the derivative and the minimum value of the derivative, a characteristic value of the ECAP signal, and determine, based on the characteristic value of the ECAP signal, at least one parameter value at least partially defining electrical stimulation therapy to be delivered to the patient.

Analyzing ECAP signals

Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.

Real-time phase detection of frequency band

The accuracy of data processing operations in an electronic device is improved through reductions in errors associated with data acquisition, reading, and transmission. In one embodiment, two or more modules of an integrated circuit are operated at different clock speeds and a voting scheme is utilized to obtain a valid data value from one of the modules. The disclosure describes methods, devices and systems that utilize the voting schemes to eliminate errors induced by race conditions in obtaining valid data values during data transfer by obtaining a plurality of data samples while the communicating modules are operating at the different clock speeds and selecting from among the data samples the valid data value.

Handling race conditions during data transfer between multiple modules of an electronic device

The accuracy of data processing operations in implantable medical devices is improved through reductions in errors associated with data acquisition, reading, and transmission. In one embodiment, two or more circuit modules of the device are operated at different clock speeds and a voting scheme is utilized to obtain a valid data value from one of the modules. The disclosure describes methods, devices and systems that utilize the voting schemes to eliminate errors induced by race conditions in obtaining the valid data values by obtaining a plurality of data samples during operation of the circuit modules at the different clock speeds and selecting from among the data samples the valid data value.

Systems and methods for handling race conditions during data transfer in an implantable medical device

This disclosure is directed to the synchronization of clocks of a secondary implantable medical device (IMD) to a clock of a primary IMD. The secondary IMD includes a communications clock. The communications clock may be synchronized based on at least one received communications pulse. The secondary IMD further includes a general purpose clock different than the communications clock. The general purpose clock may be synchronized based on at least one received power pulse. The communications clock may also be synchronized based on the at least one received power pulse.

Clock synchronization in an implantable medical device system

A medical device for determining a respiratory effort having a pressure sensor to sense pressure signals, a housing having system components positioned therein, and a microprocessor positioned within the housing, wherein the microprocessor detects an inspiration and an expiration in response to the pressure signals, detects a breath in response to the detected inspiration and the detected expiration, and determines the respiratory effort in response to the detected breath.

Method and apparatus for detecting respiratory effort in a medical device

A method of determining respiratory effort in a medical device in which pressure signals are sensed to generate corresponding sample points, an inspiration and an expiration are detected in response to the sensed pressure signals, a breath is detected in response to the detected inspiration and the detected expiration, and the respiratory effort is determined in response to the detected breath.

Method and apparatus for determining respiratory effort in a medical device

This disclosure relates to fault tolerant instantiations of a cardiac therapy delivery device such as an implantable cardiac stimulator (e.g., an implantable pulse generator, IPG, and/or an implantable cardioverter-defibrillator, ICD) coupled to an implantable physiologic sensor (IPS). According to the disclosure delivery of cardiac pacing and/or cardioversion-defibrillator therapy delivery can cause errors in output signals from an IPS. Resolution of such errors involves selectively energizing (or disconnecting the output signal from) the IPS during pacing and/or defibrillation therapy delivery. Programmable signal 'blanking' in lieu of or in addition to the foregoing also improves the integrity of the output signal (i.e., continuously energize the IPS and ignore parts of the output signal). An ICD having a transient weakness in an insulated conductor used for the IPS signal can likewise have the IPS de-energized and/or blank the IPS output signal during high voltage therapy delivery.

Fault tolerant implantable pulse generators and implantable cardioverter-defibrillators incorporating physiologic sensors and methods for implementing fault tolerance in same

A system and method for filtering a pressure signal in a medical device in which a sensor terminal senses the pressure signal, an electrode terminal receives cardiac electrical signals, a signal filtering system filters the sensed pressure signal in response to a determined heart rate to generate a heart-rate dependent frequency response, and a microprocessor derives a respiration signal in response to the heart rate dependent frequency response, and determines metrics of hemodynamic function in response to the derived respiration signal.

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Arden Hills, MN, United States of America

Robert A Corey