Mayo Foundation for Medical Education and Research

US Government As Represented by the Secretary of the Army

Christopher L Felton

Barry K Gilbert

Clifton R Haider

Daniel J Schwab

Gary Scott Delp

David R Holmes, Iii

Patrick Joseph Zabinski

Robert W Techentin

Michael J Joyner

William A Carey

Mark E Vickberg

Timothy B Curry

Charlotte Sue Van Dorn

Victor A Convertino

In accordance with some embodiments, systems, methods, and media for estimating compensatory reserve and predicting hemodynamic decompensation using physiological data are provided. In some embodiments, a system for estimating compensatory reserve is provided, the system comprising: a processor programmed to: receive a blood pressure waveform of a subject; generate a first sample of the blood pressure waveform with a first duration; provide the sample as input to a trained CNN that was trained using samples of the first duration from blood pressure waveforms recorded from subjects while decreasing the subject's central blood volume, each sample being associated with a compensatory reserve metric; receive, from the trained CNN, a first compensatory reserve metric based on the first sample; and cause information indicative of remaining compensatory reserve to be presented.

Systems, methods and media for estimating compensatory reserve and predicting hemodynamic decompensation using physiological data

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for low-power encoding of continuous physiological signals are provided. In some embodiments, a system comprises: a physiological sensor; and a remote monitor comprising: a battery; memory storing a k-ary tree including a root with k branches corresponding to k delta values, k nodes at a first depth below the Leads root node each having k branches corresponding to the k delta values the nodes indexed to indicate the lateral position of the node within the depth; a processor programmed to: receive a first sample value from the sensor; receive a second sample value; calculate a difference between the second first sample values; determine that the delta corresponds to a first delta of the k delta values; encode a sequence of deltas based on a depth and node index.

Systems, methods, and media for low-power encoding of continuous physiological signals in a remote physiological monitor

A fall detection system includes a plurality of sensors in which at least one of the sensors is coupled to or disposed near a floor. The fall detection system further includes a central monitoring system in signal communication with the plurality of sensors. The central monitoring system is configured to receive a response signal in response to an activation signal being transmitted from at least one of the plurality of sensors, and determine whether the response signal is indicative of a person being arranged in a prone position on the floor.

Proximity based fall and distress detection systems and methods

A monitor of a physiological parameter of subject under test to which the monitor is attached, in operation. The monitor includes a set of accelerometers operating in different ranges of acceleration and a physiological sensor. The physiological sensor may include an ECG circuit producing an output data characterizing the subject as a function of a degree of motion and/or reorientation of the monitor or an oximeter device. The process of monitoring includes a determination of R-wave of the subject.

Low-power, compact, resilient system and method for physiological monitoring

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Rochester, MN, United States of America

Christopher L Felton