Cardiac Pacemakers, Inc.

John D Hatlestad

Jeffrey E Stahmann

Jesse W Hartley

Kent Lee

Qingsheng Zhu

Quan Ni

Yi Zhang

Pramodsingh Hirasingh Thakur

Keith R Maile

Krzysztof Z Siejko

Bin Mi

Aaron Lewicke

Qi An

Douglas R Daum

Yousufali H Dalal

Abhilash Patangay

Kenneth C Beck

Marina V Brockway

Ramesh Wariar

Viktoria A Averina

Jonathan Bennett Shute

Loell Boyce Moon

Julie A Thompson

Paul J Huelskamp

Howard D Simms, Jr

Carlos Haro

Richard O Kuenzler

Jeff E Stahmann

Boyce Moon

William J Linder

Michael John Kane

Jaeho Kim

Gerrard Merrill Carlson

Ron A Balczewski

Richard Fogoros

Zoe Hajenga

Imad Libbus

Bruce H KenKnight

Allan Charles Shuros

Avram Scheiner

Benjamin J Haasl

Sunipa Saha

Scott R Vanderlinde

Eric A Mokelke

Hua Wang

Cal Roeske

Gezheng Wen

Jeffrey P Cook

Julio Cesar Spinelli

David L Perschbacher

Shantha Arcot-Krishnamurthy

Aaron R McCabe

Shibaji Shome

Donald Lee Hopper

Lili Liu

Yunlong Zhang

Veerichetty A Kadhiresan

Holly Elizabeth Rockweiler

Jonathan T Kwok

Yachuan Pu

Paul F Emerson

Jon Peterson

Lynne E Swanson

Rezwan Ahmed

Thomas Piaget

Guy Alvarez

John H Tangren

Quingsheng Zhu

Kenneth Martin Stein

Harlan Bos

Ken Kenknight

Krzysztof J Siejko

Tsz Ping Chang

Weiguang Shao

Gerard M Carlson

Qingsheng Zhi

A medical device includes a processor, an acceleration sensor, and memory. The acceleration sensor is configured to generate acceleration data that comprises a plurality of acceleration measurements. The memory comprises instructions that when executed by the processor, cause the processor to: obtain the acceleration data from the acceleration sensor; and determine, based on the acceleration data, that the medical device has flipped.

Detecting implantable medical device orientation change

Embodiments herein relate to body vibration analysis systems and methods. In an embodiment, a body vibration analysis system is included having a first light source configured to illuminate a surface of the body from a first angle with a first set of lighted features and a second light source configured to illuminate a surface of the body from a second angle with a second set of lighted features, wherein the second set of lighted features are optically distinguishable from the first set of lighted features. The system further includes a camera configured to detect light reflected from the surface of the body and a control circuit configured to receive an input from the camera and assess spatial vibration as a function of location on the surface of the body. Other embodiments are also included herein.

Body vibration analysis systems and methods

Embodiments include medical device systems, medical devices, including accelerometers and chemical sensors, and methods of using the same to determine the posture of a patient. In an embodiment, a medical device system herein includes an accelerometer configured to generate a signal reflecting a position of a patient, a chemical sensor configured to generate a signal reflecting physiological analyte data of the patient and a controller in electrical communication with the accelerometer and the chemical sensor. The controller can be configured to determine a posture of the patient using the position signal generated by the accelerometer and the signal generated by the chemical sensor. Other embodiments are also included herein.

Systems and methods for disambiguation of posture

Systems and methods to are disclosed to determine a sleep disordered breathing parameter of a patient, including receiving respiration information of the patient and temperature information of the patient and to determine the sleep disordered breathing parameter of the patient using the received respiration information and temperature information of the patient.

Temperature monitoring for sleep disordered breathing

Systems and methods for calibrating an orientation of an implantable device in a patient is described. An exemplary system includes a calibration circuit that can receive acceleration information sensed from an implantable medical device (IMD) implanted in a patient, and receive reference acceleration information sensed from a reference device associated with the patient. The acceleration information and the reference acceleration information are acquired when the patient assumes a first posture or in a first position. The calibration circuit determines a spatial relationship between an orientation of the IMD and a reference orientation of the reference device using the received acceleration information and the received reference acceleration information, and calibrate subsequent acceleration information sensed from the IMD using the determined spatial relationship to correct for the orientation of the IMD.

Calibration of implantable device orientation

Embodiments of the present disclosure relate to detecting implantable medical device orientation changes. In an exemplary embodiment, a medical device having a processor, comprises an acceleration sensor and memory. The acceleration sensor is configured to generate acceleration data that comprises a plurality of acceleration measurements. The memory comprises instructions that when executed by the processor, cause the processor to: obtain the acceleration data from the acceleration sensor; and determine, based on the acceleration data, that the medical device has flipped.

Systems and methods for detecting atrial tachyarrhythmias (AT) such as atrial fibrillation (AF) are disclosed. A medical system can include a cardiac signal sensor circuit to sense a cardiac electrical signal and a heart sound (HS) sensor to sense heart a HS signal A cardiac electrical signal metric, including a cycle length variability or a detection of atrial electrical activity, can be generated from the cardiac electrical signal A HS metric can be generated from the HS signal, including a status of detection of S4 heart sound or a S4 heart sound intensity indicator. The system can include an AT detector circuit that can detect an AT event, such as an AF event, using the cardiac electrical signal metric and the HS metric. The system can additionally classify the detected AT event as an AF or an atrial flutter event.

Systems and methods for detecting atrial tachyarrhythmia using heart sounds

Systems and methods for sensing respiration from a subject are discussed. An embodiment of a respiration monitoring system may include a respiration analyzer circuit to select a physiologic signal from a plurality of signals of different types indicative of respiration, such as between first and second physiologic signals that are respectively detected using first and second detection algorithms, and to compute one or more respiration parameters using the selected signal. The system may select or adjust a respiration detection algorithm for detecting the respiration parameters. The physiologic signal, or the respiration detection algorithm, may each be selected based on a signal characteristic or a patient condition. A cardiopulmonary event may be detected using the computed respiration parameter.

Systems and methods for dynamic respiration sensing

A mobile device, having a processor, includes an accelerometer configured to generate acceleration data, the acceleration data including a plurality of acceleration measurements. The mobile device also includes a memory having embodied thereon computer-executable instructions that are configured to, when executed by the processor, cause the processor to: obtain the acceleration data from the accelerometer; and generate, based on the acceleration data, heart sound data, the heart sound data including data associated with one or more heart sounds.

Direct heart sound measurement using mobile device accelerometers

This document discusses, among other things, systems and methods to determine amplitude and morphology variations of a first heart sound over a first number of cardiac cycles, and to calculate an atrial fibrillation metric indicative of an atrial fibrillation episode of the heart using the determined amplitude and morphology variations. The systems and methods can determine a variability score using the determined amplitude and morphology variations, and can calculate the atrial fibrillation metric using the variability score.

Harnessing S1 variability for AF detection

Methods and devices for configuring the use of a motion sensor in an implantable cardiac device. The electrical signals of the patient's heart are observed and may be correlated to the physical motion of the heart as detected by the motion sensor of the implantable cardiac device in order to facilitate temporal configuration of motion sensor data collection that avoids detecting cardiac motion in favor of overall motion of the patient.

Temporal configuration of a motion sensor in an implantable medical device

This document discusses, among other things, apparatus, systems, or methods to efficiently collect heart sound data, including detecting first heart sound information of a heart of a patient using a heart sound sensor in a first, low-power operational mode, and detecting second heart sound information of the heart using the heart sound sensor in a separate second, high-power operational mode. The operational mode of the heart sound sensor can be controlled using physiologic information from the patient, including heart sound information, information about a heart rate of the patient, or other physiologic information from the patient that indicates worsening heart failure.

Energy efficient heart sound data collection

An implantable or other ambulatory medical apparatus comprises a posture sensing circuit, a physiologic sensing circuit that senses a time varying physiologic signal, and a processor circuit. The processor circuit includes a posture calculation circuit and a measurement circuit. The posture calculation circuit determines a posture of the subject using posture data obtained using the posture signal and determines when the posture of the subject is steady state. The measurement circuit derives a physiologic measurement using physiologic data extracted from the physiologic signal during at least one time period when posture is determined to be steady state and provides the physiologic measurement to at least one of a user and a process in association with the determined steady state posture.

Physiologic response to posture

An apparatus comprises plurality of sensors and a processor. Each sensor provides a sensor signal that includes physiological information and at least one sensor is implantable. The processor includes a physiological change event detection module that detects a physiological change event from a sensor signal and produces an indication of occurrence of one or more detected physiological change events, and a heart failure (HF) detection module. The HF detection module determines, using a first rule, whether the detected physiological change event indicative of a change in HF status of a subject, determines whether to override the first rule HF determination using a second rules, and declares whether the change in HF status occurred according to the first and second rules.

Multi-sensor strategy for heart failure patient management

Systems and methods for detecting cardiac conditions such as events indicative of worsening of heart failure (HF) are described. A system can receive a physiological signal from a patient, transform one or more first portions of the physiological signal into respective one or more baseline statistical values, transform one or more second portions of the physiological signal into one or more historical extreme values, and generate one or more reference values of a physiologic parameter using the baseline statistical values and the historical extreme values. The system can transform one or more third signal portions of the physiological signal into respective one or more short-term values, and produce a cardiac condition indicator using a combination of relative differences between the short-term values and the corresponding reference values. The system can output the cardiac condition indicator, or deliver therapy according to the cardiac condition indicator.

Prediction of worsening of heart failure using blended reference

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Maplewood, MN, United States of America

John D Hatlestad