Abstract: 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.

Abstract: 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 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.

Abstract: In accordance with some embodiments of the disclosed subject matter, mechanisms for efficient real-time embedded processing of physiological signals using S transforms are provided. In some embodiments, a system comprises: a sensor configured to monitor at least one condition of the subject and generate physiological feedback data; a processor configured to receive the physiological feedback data from the sensor and programmed to: implement a ECG Leads filter bank with a predetermined number of coefficients and taps selected to perform a Stockwell transform on the physiological feedback data and provide a frequency domain data of the physiological feedback data; analyze the frequency domain data using a physiological monitoring criteria; generate a report about the physiological condition of the subject based on the analysis of the frequency domain data using the physiological monitoring criteria; a display configured to display the report about the physiological condition of the subject.

Abstract: 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.

Abstract: 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.

Abstract: In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, apparatuses, methods, and media) for determining three dimensional location of an object associated with a person at risk of falling down are provided.

Abstract: 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.