Cardiac Pacemakers, Inc.

Abhilash Patangay

Krzysztof Z Siejko

Gerrard Merrill Carlson

Pramodsingh Hirasingh Thakur

Yi Zhang

John D Hatlestad

Kent Lee

Carlos Haro

Jeffrey E Stahmann

Barun Maskara

Viktoria A Averina

Marina V Brockway

Kenneth C Beck

Yachuan Pu

Yousufali H Dalal

Richard O Kuenzler

Yinghong Yu

Jiang Ding

Robert J Sweeney

Ramesh Wariar

Shibaji Shome

Jonathan T Kwok

Andres Belalcazar

Dan Li

Julie A Thompson

Mohan Krishnan

Craig Michael Stolen

Loell Boyce Moon

Aaron Lewicke

Jon Peterson

Timothy Edward Meyer

Bruce H KenKnight

Scott Thomas Mazar

Yatheendhar D Manicka

Yanting Dong

Tamara Colette Baynham

Shelley Marie Cazares

Richard Fogoros

Theodore J Schulte

Michael J Pederson

Gerard M Carlson

Stevens L Martin

A system and method to sense heart sounds with one or more implantable medical devices according to one or more signal processing parameters. The method alters one or more of the parameters as a function of one or more physiologic triggering events. The method then senses heart sounds with the one or more implantable medical devices according to at least the one or more altered signal processing parameters.

Adaptive sampling of heart sounds

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

A differential or relative measurement between an orthogonal measurement vector and another measurement vector can be used to determine the location where fluid accumulation is occurring or the local change in such fluid accumulation. This can help diagnose or treat infection or hematoma or seroma at a pocket of an implanted cardiac rhythm management device, other implanted medical device, or prosthesis. It can also help diagnose or treat pulmonary edema, pneumonia, pulmonary congestion, pericardial effusion, pericarditis, pleural effusion, hemodilution, or another physiological condition.

Multiple vector fluid localization

Systems and methods for detecting heart failure by monitoring the time-sequence of physiological changes of a subject using a state machine circuit configured to receive information about physiological characteristics of the subject is described. The current state transitions between a first and a second state in response to a first transition trigger. The current state transitions between the second and first states in response to at least one of the expiration of a first timer or ceasing of the first transition trigger. The current state transitions between the second and third states in response to a second transition trigger. The current state transitions between the third and second states in response to at least one of expiration of a second timer or ceasing of the second transition trigger.

Detecting heart failure by monitoring the time sequence of physiological changes

Patient posture information can be received, such as to indicate a change in patient posture by at least a threshold amount. A transient response signal indicative of a change in a physiological parameter can be received at multiple instances near a change in patient posture. Waveform morphology features can be extracted from a transient response signal and used to provide an indication of a cardiac status, such as a heart failure status.

Transient sensor response to posture as a measure of patient status

A system comprises a cardiac signal sensing circuit and a processor circuit. To detect a QRS duration, the processor circuit determines an isoelectric amplitude value of the cardiac signal segment, identifies a time where the cardiac signal segment amplitude deviates from the first isoelectric amplitude value by a specified threshold deviation value as a Q time, determines an isoelectric value time after the determined maxima and minima times that the cardiac signal segment returns to the same or a different isoelectric amplitude value, identifies a time that follows both the determined maxima and minima times and precedes the isoelectric value time as an S time, wherein the cardiac signal segment amplitude at the identified S time satisfies a specified amplitude change criterion from an isoelectric amplitude value, and determines a time duration of the QRS complex in the cardiac signal segment using the identified Q and S times.

Wide QRS detector

A system and method for remotely evaluating patient compliance status is presented. Compliance to a course of treatment is periodically checked through qualitative inquiry of a patient under remote management. Physiometry of the patient, that indicates emotional state, is remotely monitored contemporaneously with the qualitative state. Patient status is evaluated, including at least one of corroborating the compliance and identifying an emotional imbalance, based upon the indicated emotional state of the patient.

System and method for remotely evaluating patient compliance status

An apnea classification system provides for apnea monitoring and differentiation based on several sleep apnea related parameters for diagnostic and therapeutic purposes. Monitoring of such sleep apnea related parameters allows the apnea classification system to differentiate among the different types of apnea and hypopnea and to identify an occurrence of periodic respiration. This information may then be used to determine the best method of therapy, or adjust current therapy parameters to more effectively treat a subject.

Apnea type determining apparatus and method

A system and method provide heart sound tracking, including an input circuit, configured to receive heart sound information, and a heart sound recognition circuit. The heart sound recognition circuit can be coupled to the input circuit and can be configured to recognize, within a particular heart sound of a particular heart sound waveform, a first intra heart sound energy indication and a corresponding first intra heart sound time indication using the heart sound information from the particular heart sound waveform and the heart sound information from at least one other heart sound waveform. The particular heart sound can include at least a portion of one of S1, S2, S3, and S4. Further, the first intra heart sound energy indication and the corresponding first intra heart sound time indication can correspond to the at least a portion of one of S1, S2, S3, and S4, respectively.

Heart sound tracking system and method

Physiological data, such as thoracic impedance data, can be obtained over a first time window to establish a baseline, or can be used to form one or more data clusters. Additional physiological data, such as thoracic impedance test data acquired over a later time window, can be obtained and compared to the baseline or data clusters to determine an indication of worsening heart failure. In an example, a quantitative attribute of one or more data clusters can be monitored and used to provide an indication of worsening heart failure. A posture discrimination metric can be obtained, such as using the physiological data obtained over the first time window. The additional physiological data, such as can be obtained over a second time window, can be compared to the posture discrimination metric to provide a patient posture status.

Posture detection using thoracic impedance

Method and systems related to monitoring right ventricular function during pacing by a cardiac rhythm management device are described. One or more pacing parameters are selected to provide cardiac resynchronization therapy. For example, the one or more pacing parameters may be selected to provide an optimal or improved therapy. The heart is paced using the selected pacing parameters. While pacing with the selected parameters, pressure is sensed via a pressure sensor disposed the pulmonary artery. The sensed pressure is analyzed to determine right ventricular function achieved during the pacing using the selected pacing parameters. A signal, such as an alert signal or control signal, is generated based on the right ventricular function achieved during the pacing.

Monitoring right ventricular hemodynamic function during pacing optimization

Devices and methods for improving the sensitivity and specificity of heart failure (HF) detection are described. The devices and methods can detect a HF status such as using physiological sensor data and external biomarker assays. An apparatus can comprise ambulatory physiological sensors that can provide a first HF status indicator and a second HF status indicator to a user. An external biomarker sensor can provide an amount of a biomarker present, such as an assay for B-type natriuretic peptide (BNP), which provides information about HF status. A processor circuit can switch from a first HF detection mode to a second detection mode such as in response to the information from the biomarker sensor. The first detection mode can detect HF status using the first HF status indicator, and the second detection mode can detect HF status using the second HF status indicator. The second detection mode can have a higher specificity than the first detection mode.

Integrating device-based sensors and bedside biomarker assays to detect worsening heart failure

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Inver Grove Heights, MN, United States of America

Abhilash Patangay