Abstract: A method for using a Gaussian Process-based algorithm to approximate an optimal stopping of a time series that corresponds to a sequence of events is provided. The method includes: receiving information that relates to an event sequence; estimating, based on the received information, a first potential reward that is obtained by stopping the event sequence at a first time, and a set of respective second potential rewards that are obtained by stopping the event sequence at corresponding times; and determining, based on the estimated first and second potential rewards, an optimal time for stopping the event sequence. The event sequence may include a numerical sequence that is modeled as a statistical learning method via a Gaussian Process (GP) function and/or a deep GP function that indicates a probability density distribution of the items in the numerical sequence over a predetermined time interval.

Abstract: Systems and methods are provided for extracting hemodynamic information, optionally employing portable electronic devices with optional User Interface (UI) features for system implementation. The systems and methods may be employed for acquiring hemodynamic signals and associated electrophysiological data and/or analyzing the former or both in combination to yield useful physiological indicia or results. Such hardware and software is advantageously used for non-invasively monitoring cardiac health.

Abstract: Systems and methods are provided for extracting hemodynamic information, optionally employing portable electronic devices with optional User Interface (UI) features for system implementation. The systems and methods may be employed for acquiring hemodynamic signals and associated electrophysiological data and/or analyzing the former or both in combination to yield useful physiological indicia or results. Such hardware and software is advantageously used for non-invasively monitoring cardiac health.

Abstract: Devices, systems, and methods are described for acquiring heart sound timing content to enhance pulse waveform analysis.

Abstract: Systems and methods are provided for extracting hemodynamic information, optionally employing portable electronic devices with optional User Interface (UI) features for system implementation. The systems and methods may be employed for acquiring hemodynamic signals and associated electrophysiological data and/or analyzing the former or both in combination to yield useful physiological indicia or results. Such hardware and software is advantageously used for non-invasively monitoring cardiac health.

Abstract: Hardware and software methodology are described for non-invasively monitoring cardiac health. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. Together with associated notch timing, heart rate and blood pressure values left ventricle ejection fraction and/or stroke volume can be determination.

Abstract: Hardware and software methodology are described for cardiac health measurement. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. The intrinsic frequencies provide metrics/ measures that correlate to the cardiac health of the subject. The systems may be used for monitoring a condition and/or is diagnosis. Exemplary uses include identifying (diagnosing) the presence of arrhythmia, heat failure, atrial fibrillation, aneurysms, vessel stenosis or aortic valve dysfunction and the necessity for valve replacement and/or monitoring congestive heart failure progression, together with identifying the acute need for hospitalization in connection with daily testing for any such condition.

Abstract: Devices, systems, and methods are described for acquiring heart sound timing content to enhance pulse waveform analysis.

Abstract: Hardware and software methodology are described for non-invasively monitoring cardiac health. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. Together with associated notch timing, heart rate and blood pressure values left ventricle ejection fraction and/or stroke volume can be determination.

Abstract: Hardware and software methodology are described for cardiac health measurement. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. The intrinsic frequencies provide metrics/ measures that correlate to the cardiac health of the subject. The systems may be used for monitoring a condition and/or is diagnosis. Exemplary uses include identifying (diagnosing) the presence of arrhythmia, heat failure, atrial fibrillation, aneurysms, vessel stenosis or aortic valve dysfunction and the necessity for valve replacement and/or monitoring congestive heart failure progression, together with identifying the acute need for hospitalization in connection with daily testing for any such condition.

Abstract: Hardware and software methodology are described for non-invasively monitoring cardiac health. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. Together with associated notch timing, heart rate and blood pressure values left ventricle ejection fraction and/or stroke volume can be determination.

Abstract: Hardware and software methodology are described for cardiac health measurement. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. The intrinsic frequencies provide metrics/measures that correlate to the cardiac health of the subject. The systems may be used for monitoring a condition and/or is diagnosis. Exemplary uses include identifying (diagnosing) the presence of arrhythmia, heat failure, atrial fibrillation, aneurysms, vessel stenosis or aortic valve dysfunction and the necessity for valve replacement and/or monitoring congestive heart failure progression, together with identifying the acute need for hospitalization in connection with daily testing for any such condition.

Abstract: Systems and methods are provided for extracting hemodynamic information, optionally employing portable electronic devices with optional User Interface (UI) features for system implementation. The systems and methods may be employed for acquiring hemodynamic signals and associated electrophysiological data and/or analyzing the former or both in combination to yield useful physiological indicia or results. Such hardware and software is advantageously used for non-invasively monitoring cardiac health.

Abstract: Systems and methods are provided for extracting hemodynamic information, optionally employing portable electronic devices with optional User Interface (UI) features for system implementation. The systems and methods may be employed for acquiring hemodynamic signals and associated electrophysiological data and/or analyzing the former or both in combination to yield useful physiological indicia or results. Such hardware and software is advantageously used for non-invasively monitoring cardiac health.

Abstract: Hardware and software methodology are described for cardiac health measurement. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. The intrinsic frequencies provide metrics/measures that correlate to the cardiac health of the subject. The systems may be used for monitoring a condition and/or is diagnosis. Exemplary uses include identifying (diagnosing) the presence of arrhythmia, heat failure, atrial fibrillation, aneurysms, vessel stenosis or aortic valve dysfunction and the necessity for valve replacement and/or monitoring congestive heart failure progression, together with identifying the acute need for hospitalization in connection with daily testing for any such condition.

Abstract: Hardware and software methodology are described for cardiac health measurement. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. The intrinsic frequencies provide metrics/measures that correlate to the cardiac health of the subject. The systems may be used for monitoring a condition and/or is diagnosis. Exemplary uses include identifying (diagnosing) the presence of arrhythmia, heat failure, atrial fibrillation, aneurysms, vessel stenosis or aortic valve dysfunction and the necessity for valve replacement and/or monitoring congestive heart failure progression, together with identifying the acute need for hospitalization in connection with daily testing for any such condition.

Abstract: Hardware and software methodology are described for non-invasively monitoring cardiac health. Hemodynamic waveforms variously acquired for a subject are analyzed to calculate or approximate intrinsic frequencies in two domains in two domains across the Dicrotic Notch. Together with associated notch timing, heart rate and blood pressure values left ventricle ejection fraction and/or stroke volume can be determination.