Abstract: Systems and methods for detecting worsening cardiac conditions such as worsening heart failure events are described. A system may include sensor circuits to sense physiological signals and signal processors to generate from the physiological signals first and second signal metrics. The system may include a risk stratifier circuit to produce a cardiac risk indication. The system may use at least the first signal metric to generate a primary detection indication, and use at least the second signal metric and the risk indication to generate a secondary detection indication. The risk indication may be used to modulate the second signal metric. A detector circuit may detect the worsening cardiac event using the primary and secondary detection indications.

Abstract: This document discusses, among other things, systems and methods to generate a first pacing waveform during a first pacing period and a second pacing waveform during a second pacing period, to alternate first and second pacing periods to provide pacing-based hypertension therapy to a heart of a patient to reduce patient blood pressure, to receive information indicative of patient metabolic demand, and to determine an adjusted pacing-based hypertension therapy parameter using the received information indicative of patient metabolic demand, wherein the first pacing waveform has a first atrioventricular (AV) delay and the second pacing waveform has a second AV delay longer than the first AV delay.

Abstract: Systems and methods are disclosed herein, comprising a risk analysis module configured to determine a heart failure (HF) risk score for a subject using an S3 heart sound parameter of the subject and a control module configured to calculate a worsening heart failure (WHF) score for the subject using a HF parameter, wherein the control module is configured to enable a logistic regression detection of the WHF score if the determined HF risk score is in a first HF risk score range and to enable a neural network detection of the WHF score if the determined HF risk score is in a second HF risk score range.

Abstract: Systems and methods for monitoring patients with a chronic disease such as heart failure are disclosed. The system may include a physiological sensor circuit to sense physiological signals and generate signal metrics from the physiological signals. The system may include a health status analyzer circuit to use the signal metrics to generate one or more stability indicators of patient health status, such as stability of heart failure status. The system may additionally generate one or more health status indicators indicating patient health status such as heart failure progression. A patient disposition decision may be generated using the health status indicators and the stability indicators to provide an indication of readiness for patient discharge from or a risk of admission to a hospital.

Abstract: Systems and methods provide for assessing the heart failure status of a patient and, more particularly, to generating a trend parameter based on a distribution of the patient's respiration rate. Systems and methods provide for detecting, using an implantable device or a patient-external device, patient respiration and computing a respiration rate based on the detected patient respiration. A distribution of the respiration rate is calculated, and a trend parameter based on the respiration rate distribution is generated. The trend parameter is indicative of a patient's heart failure status. An output signal indicative of the patient's heart failure status may be generated based on the trend parameter.

Abstract: 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.

Abstract: Systems and methods for monitoring patients with a chronic disease such as heart failure are disclosed. The system may include a physiological sensor circuit to sense physiological signals and generate signal metrics from the physiological signals. The system may include a health status analyzer circuit to use the signal metrics to generate one or more stability indicators of patient health status, such as stability of heart failure status. The system may additionally generate one or more health status indicators indicating patient health status such as heart failure progression. A patient disposition decision may be generated using the health status indicators and the stability indicators to provide an indication of readiness for patient discharge from or a risk of admission to a hospital.

Abstract: Systems and methods for monitoring a heart failure (HF) patient and forecasting the patient's future HF status are discussed. A system includes a HF predictor circuit to generate a monitored sensor trend using sensor data collected up to a prediction time from the patient. The HF predictor circuit can generate a projected sensor trend for the patient over a forecast period of time in future beyond the prediction time using the monitored sensor trend of the patient and sensor trends collected from a plurality of patients. The projection can be based on a non-parametric predictor or a parametric model. A trajectory of the projected sensor trend may be displayed as a visual forecast of the patient's HF status.

Abstract: Systems and methods to determine a composite respiratory vibration of a patient are disclosed, including a signal receiver circuit configured to receive physiologic information cyclic with patient respiration and vibration information indicative of patient respiratory vibrations for a plurality of respiratory cycles of a patient, and an assessment circuit configured to identify a first set of respiratory cycles of the plurality of respiratory cycles having a duration within a threshold, align segments of the vibration information corresponding to the first set of respiratory cycles, the segments associated with a desired portion of the respiratory cycle using a feature of the respiratory cycle, and determine the composite respiratory vibration using the aligned segments.

Abstract: This document discusses, among other things, systems and methods to receive physiologic information from a patient during different first and second pacing periods having respective, different first and second atrioventricular (AV) delays, determine first and second physiologic parameters using respective received physiologic information from the first and second pacing periods, and adjust the first AV delay using the determined first and second physiologic parameters, wherein the second AV delay is longer than the first AV delay.

Abstract: Systems and methods to provide remote patient monitoring for viral-respiratory symptoms, including coronavirus or COVID-19 symptoms are disclosed, including a signal receiver circuit configured to receive first and second physiologic information of a patient, the first physiologic information comprising respiration rate information of a patient and the second physiologic information different than the first physiologic information, and an assessment circuit configured to determine an indication of patient viral-respiratory disease using the received first and second physiologic information.

Abstract: This document discusses, among other things, systems and methods to generate a first pacing waveform during a first pacing period and a second pacing waveform during a second pacing period, and alternate the first and second pacing periods to provide pacing-based hypertension therapy to a heart of a patient to reduce patient blood pressure, wherein the first pacing waveform has a first atrioventricular (AV) delay and the second pacing waveform has a second AV delay longer than the first AV delay. Physiologic information can be received from the patient, and one of the first or second pacing period for delivery to the patient can be determined using the received physiologic information.

Abstract: Systems and methods to detect pneumonia in cardiovascular patients are disclosed, including receiving physiologic information of a patient from an ambulatory medical device (AMD), the physiologic information comprising respiration information of the patient, and determining a pneumonia score of the patient using the received respiration information.

Abstract: Devices and methods for detecting an event using a variable threshold. A patient monitoring system can receive physiologic information and compare the information to an onset threshold. When the onset threshold is exceeded, the system shifts to a reset threshold that is different than the onset threshold. When the reset threshold is crossed, the system shifts back to the onset threshold.

Abstract: This document discusses, among other things, systems and methods to generate a first pacing waveform during a first pacing period and a second pacing waveform during a second pacing period, to alternate first and second pacing periods to provide pacing-based hypertension therapy to a heart of a patient to reduce patient blood pressure, and to determine an increased pacing rate for the first pacing waveform during the first pacing period using the first AV delay, wherein the first pacing waveform has a first atrioventricular (AV) delay and the second pacing waveform has a second AV delay longer than the first AV delay.

Abstract: Systems and methods for managing machine-generated medical events detected from one or more patients are described herein. A medical event management system includes an event analyzer circuit to detect a medical event using physiological data from a patient-triggered episode acquired from a medical device. The event analyzer circuit determines a confidence score of the medical event detection, and generates an alignment indicator indicating a degree of concordance between the detected medical event and the information about the patient-triggered episode. The system assigns priority information to the patient-triggered episode using the generated alignment indicator and the confidence score of the detection. An output circuit can output the received physiological information to a user or a process according to the assigned priority information.

Abstract: Systems and methods to determine an indication of patient dehydration are disclosed, including receiving first and second physiologic information of a patient, the first physiologic information including heart sound information of the patient and the second physiologic information different than the first physiologic information, and determining the indication of patient dehydration using the received first and second physiologic information.

Abstract: 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.

Abstract: An apparatus comprises a respiration sensing circuit configured for coupling electrically to a plurality of electrodes and for sensing a respiration signal representative of respiration of a subject; a signal processing circuit electrically coupled to the respiration sensing circuit and configured to extract a respiration parameter from a sensed respiration signal and determine a signal performance metric for the sensed respiration signal using the respiration parameter; and a control circuit. The control circuit is configured to: initiate sensing of a plurality of respiration signals using different electrode combinations of the plurality of electrodes and determining of the signal performance metric for the sensed respiration signals; and enable an electrode combination from the plurality of electrodes and for use in monitoring respiration of the subject according to the signal performance metric.

Abstract: In one example, a method of monitoring a sustained activity of a human or animal subject for the purpose of determining a risk group includes detecting a physical activity signal from the subject, determining a magnitude of the detected physical activity signal, initiating a timer in response to determining the magnitude of the physical activity signal exceeding an activity level threshold, triggering storing at least one value associated with the physical activity signal only when the magnitude of the physical activity signal exceeds the activity level threshold and the timer is greater than a duration threshold, and determining, using the processor circuit, an indication of the subject's cardiovascular disease based on the stored value.