Cardiac Pacemakers, Inc.

Boston Scientific Scimed, Inc.

Bin Mi

Keith R Maile

Pramodsingh Hirasingh Thakur

Qi An

John D Hatlestad

Jonathan Bennett Shute

Jeffrey E Stahmann

Michael John Kane

Krzysztof Z Siejko

Yunlong Zhang

Binh C Tran

Abhijeet V Chavan

Viktoria A Averina

Ron A Balczewski

Paul J Huelskamp

Wangcai Liao

Yinghong Yu

Brendan Early Koop

Howard D Simms, Jr

Robert S Harguth

Allan Charles Shuros

William J Linder

Kenneth Paul Hoyme

Eyal Doron

Michael Sheehan Seeberger

Andrew Bomett

Grace Ann Wiechman

Benjamin J Haasl

Dan Li

Lance Eric Juffer

Haresh G Sachanandani

Rezwan Ahmed

Thomas Piaget

Gezheng Wen

Yi Zhang

Rodney W Salo

James O Gilkerson

Ramesh Wariar

Stephen B Ruble

Bryan Allen Clark

Brian D Soltis

Stephen John Hahn

Yongxing Zhang

Abhi Chavan

Lawrence David Swanson

Avi Penner

Arjun D Sharma

Abraham Penner

Cheng Zhang

John H Tangren

Eric Wedul

Mark S Bartrum

Howard D Simms Jr

Viktoria A Avernia

Brian A Clark

Disclosed are medical devices with an acceleration sensor for generating acceleration data, at least two electrodes for generating electrocardiogram (ECG) data, a processor, and memory. The memory, which may be a non-transitory computer readable medium, contains computer-executable instructions that, when executed by the processor, causes the processor to perform the following: obtain the acceleration data and the ECG data from a first range of time and a second range of time different from the first range, generate respiration data based on the acceleration data, and determine that the medical device has flipped in orientation during the second range of time by comparing the respiration data and the ECG data of the first range of time with the respiration data and the ECG data of the second range of time.

Detection of implantable device rotation using respiratory signals

A medical system for monitoring a left atrial pressure in a heart of a patient may include an implantable device including an expandable framework and a first sensor secured to the expandable framework and an external component configured to communicate wirelessly with the implantable device. The first sensor may be configured to detect a first measurement. The first sensor may be a pressure sensor and the first measurement may be the left atrial pressure. The implantable device or the external component may include a processor configured to create a first trend for the first measurement. The processor may be configured to use the first trend to modify the first measurement prior to outputting a corrected result.

Medical system for treating a left atrial appendage

Systems and methods for monitoring heart failure (HF) status in a patient are discussed. An exemplary system includes a gait analyzer circuit than can receive gait or balance information, and generate a gait feature such as gait speed or a gait pattern. The system includes a HF detector circuit that can detect patient HF status, or to predict patient risk of a future worsening heart failure (WHF) event, using the gait feature. In some examples, the system may trigger sensing physiologic information according to the detected gait, and detect patient HF status using the sensed physiologic information. The system can initiate or adjust a heart failure therapy according to the HF status or the WHF risk.

Heart failure monitor using gait information

Embodiments of the present disclosure relate to imaging a body part using sounds. In embodiments, a system comprises a motion sensor and a processing device communicatively coupled to the motion sensor. The motion sensor is configured to sense an acceleration wave produced by a sound emitted by a source and generate acceleration measurements in response to sensing the acceleration wave, wherein the source is associated with the body part of a subject. The processing device is configured to receive the acceleration measurements and determine a location of the source using a location of the motion sensor and the acceleration measurements. In addition, the processing device is configured to image the body part of the subject using the determined location of the source and the acceleration measurements.

Imaging of a body part using sounds

Systems, devices, and methods for monitoring and assessing blood glucose level in a patient are discussed. An exemplary system receives physiologic information from a patient using an ambulatory medical device. The physiologic information is correlated to, and different from, a direct glucose level measurement. The system determines a glucose index indicative of an abnormal blood glucose level using the received physiologic information by the two or more physiologic sensors. The system may use the glucose index to initiate or adjust a therapy, or to trigger a glucose sensor, separate from the two or more physiologic sensors, to directly measure blood glucose concentration.

Multi-sensor diabetes management system

A medical system may include a left atrial appendage closure device including an expandable framework and a proximal hub centered on a central longitudinal axis of the framework. An insert may be disposed within the proximal hub and include a collar configured to engage the proximal hub, a recess extending into the insert from a proximal end, and a post member disposed within the recess. The post member may be radially spaced apart from the collar and may extend proximally from a distal end of the recess to a proximal surface. The insert may include a first connection structure disposed distal of the proximal surface. The medical system may include a delivery catheter having a second connection structure configured to engage the first connection structure in a delivery configuration. The distal end of the delivery catheter includes a hollow portion configured to receive the post member in the delivery configuration.

Systems and methods for monitoring patients with respiratory diseases are described. A system may include a sensor circuit configured to sense one or more physiological signals indicative of respiratory sounds, and a spectral analyzer to generate first and second spectral contents at respective first and second frequency bands. The system may produce a respiratory anomaly indicator using the first and second spectral contents, or additionally with other physiological parameters. The system may detect an onset or progression of a target respiratory condition such as asthma or chronic obstructive pulmonary disease using the respiratory anomaly indicator, or to trigger or adjust a therapy.

Systems and methods to detect respiratory diseases using respiratory sounds

Systems and methods for detecting heart sound information from a subject's head are described. A system embodiment includes a headgear to be worn on the subject's head, and first and second sensors to sense respectively first and second physiologic signals each representing vibration, motion, or displacement conducted through patient body tissue. The sensed physiologic signals contain heart sound information. At least one of the first or the second sensor is included in the headgear, and placed at a head location to sense a physiologic signal indicative of heart sounds. The system includes a processor to generate a composite signal using the sensed first and second physiologic signals. The system may generate a heart sound metric using the composite signal, and detect a cardiac event such as an arrhythmia or worsening heart failure.

Heart sound sensing headgear

A system and method for communication between an IMD and an external reader includes bringing a portion of a patient's body into contact with a device-body contact surface of an external reader. The reader transmits a first transdermal carrier wave from the contact surface into the patient's body, where the first carrier wave includes a request for communication with the IMD. The transdermal carrier waves are electrical conductive waves, optical waves, or acoustic waves. Upon detection of the first carrier wave, the IMD transmits a second transdermal carrier wave including a request for an access key from the reader and the reader replies by transmitting a third transdermal carrier wave including the access key back to the IMD. If the access key is valid, the IMD transmits information by radio frequency (RF) in an RF communication mode or a fourth transdermal carrier wave including data from the IMD.

Secure transdermal communication with implanted device

Embodiments herein relate to sensor based authentication between an implantable medical device (IMD) and an external device. In an embodiment, the IMD includes a wireless communication module and an internal inertial measurement unit (IMU) capable of measuring vibrations, movement, or rotation. The IMD is configured to record an internal IMU signal from the internal IMU. The external device includes a wireless communication module and an external IMU. The external device is configured to record an external IMU signal from the external IMU. The system further includes a data processing system to receive a first level communication that can include the internal IMU signal, the external IMU signal, or both, compare data from the internal IMU signal with data from the external IMU signal, and authorize a second level communication based on results of the comparison step.

Implanted medical device authentication based on comparison of internal IMU signal to external IMU signal

This document discusses, among other things, systems and methods to determine an indication of heart failure with preserved ejection fraction (HFpEF) of a subject using a determined change in cardiac acceleration information of the subject at exertion relative to cardiac acceleration information of the subject at rest. The system can include a signal receiver circuit configured to receive cardiac acceleration information of a subject and exertion information of the subject, and an assessment circuit configured to determine the change in cardiac acceleration information of the subject at exertion relative to cardiac acceleration information of the subject at rest, and to determine an indication of HFpEF of the subject using the determined change in cardiac acceleration information.

HFpEF detection using exertional heart sounds

This document discusses, among other things, systems and methods to produce a composite heart sound signal of a patient using a first signal including heart sound information over a first physiologic interval and a second signal including heart sound information over the first physiologic interval.

Devices and methods for heart sound detection

An implantable medical device (IMD) that includes a housing, a first electrode secured relative to the housing, a second electrode secured relative to the housing, and a gyroscope secured relative to the housing. The IMD may include circuitry in the housing in communication with the first electrode, the second electrode, and the gyroscope. The circuitry may be configured to determine and store a plurality of torsion data measurements, from which a representation of a twist profile may be determined.

Implantable medical device with gyroscope

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 reconstructing heart sounds from heart sound samples taken under a sub-optimal condition, such as at a low sampling rate, are discussed. An exemplary system receives acceleration information from a patient sensed at a first sampling rate, and generate a heart sound ensemble of portions of acceleration information over multiple cardiac cycles. The system can reconstruct a heart sound segment to have a second sampling rate, higher than the first sampling rate, using the generated heart sound ensemble. A heart sound metric can be generated using the reconstructed heart sound segment, and used for detecting a cardiac event, such as a cardiac arrhythmia episode, or a worsening heart failure event.

Systems and methods for reconstructing heart sounds

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Plymouth, MN, United States of America

Bin Mi