A system comprising a remotely programmable micromonitor with a wireless sensing system-on-module (SOM), one or more sensors to detect one or more conditions in a subject by monitoring one or more parameters associated with the conditions by comparing any monitored parameter to a baseline measurement of the monitored parameter from the subject, a plurality of sensors corresponding to a monitored parameter and connected to the micromonitor to convey measurements of all monitored parameters, the sensors including at least one of a non-optical pulse wave sensor or an electrocardiogram (ECG) sensor, a communications module capable of communicating with a wireless technology, wherein the module can send an alert signal to the subject or an attending physician or a remote service center or any other subject, and one or more algorithms for monitoring conditions and/or for predicting conditions, including at least one of a fall detection or fall prediction algorithm.

This document discusses, among other things, systems and methods to determine an indication of contractility of a heart of a patient using received physiologic information, and to determine blood pressure information of the patient using the heart sound information and the determined indication of contractility of the heart. The system can include an assessment circuit configured to determine an indication of contractility of a heart of the patient using first heart sound (S1) information of the patient, and to determine blood pressure information of the patient using second heart sound (S2) information of the patient and the determined indication of contractility of the heart.

Embodiments of the present disclosure provide systems and methods directed to contactless motion tracking. In operation, a speaker may provide an acoustic signal to, for example, a subject. A microphone array may receive a reflected acoustic signal, where the received reflected signal is responsive to the acoustic signal reflecting off the subject. A computing device may extraction motion data of the subject based on the received reflected acoustic signal. Various motion data extraction methods are described herein. The motion data may include respiration motion, coarse movement motion, respiration rate, and the like. Using the extracted motion data, the processor may identify at least one health condition and/or sleep anomaly corresponding to the subject. In some examples, beamforming is implemented to aid in contactless motion tracking.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. The sensor can include one or more of bi-axial or tri-axial accelerometers, magnetometers and altimeters as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose. In some embodiments, the sensor can be self-contained in that it can detect orientation and suggest repositioning independent of a host.

Disclosed is a of monitoring the breathing of a user, comprising receiving a plurality of audio signals from a plurality of microphones and beamforming the plurality of audio signals into a beamformed audio signal. Observed breath-related parameters are derived from the beamformed audio signal and an output of or derived from the observed breath-related parameters is provided to a user of a client device. Breath metrics may be determined by comparing the observed breath-related parameters with reference breath-related parameters, and a breathing score may be derived from the breath metrics. The breathing score may be based on a combination of how closely an observed respiration of the user matches a prompted or desired respiration rate and an observed amount of time that the user's observed respiration rate is within a threshold value of the prompted or desired respiration rate.

A system for dispensing sterile covers for a stethoscope or other medical device, including a container including elongated members positioned in the container, terminating at tips proximate one end of the container; one or more collapsed pouches positioned inside the container, each pouch having open and closed ends and retainers, each retainer adapted to receive a corresponding elongated member, the collapsed pouches being supported on the elongated members; each pouch comprising a tab positioned proximate the open end for being grasped and pulled in a direction away and downwards from the elongated members, the open end forming an open position defined by the retainers and the tab for receiving a head of the stethoscope inside the pouch while the retainers remain engaged with the elongated members; after use, the pouch is removable from the stethoscope without a user contacting a patient contacting region of the cover.

A method for classifying or categorizing a polysomnography recording into defined sleep tags.

In some embodiments, an apparatus for acquiring, processing and transmitting physiological sounds, which may include acoustic sounds from at least one organ in a biological system, may include a sensor for acquiring physiological sounds. Analogue signals representative of the physiological sounds are converted into an electrical output. The electrical output is converted to digital data. A processing unit processes the digital data in a manner selected by a user.

In some embodiments, an apparatus for acquiring, processing and transmitting physiological sounds, which may include acoustic sounds from at least one organ in a biological system, may include a sensor for acquiring physiological sounds. Analogue signals representative of the physiological sounds are converted into an electrical output. The electrical output is converted to digital data. A processing unit processes the digital data in a manner selected by a user.

A method for measuring an intracranial bioimpedance in a patient's head, to help evaluate cerebral autoregulation, may involve securing a volumetric integral phase-shift spectroscopy (VIPS) device to the patient's head, measuring the intracranial bioimpedance with the VIPS device by measuring a phase shift between a magnetic field transmitted from a transmitter on one side of a VIPS device and a magnetic field received at a receiver on another side of the VIPS device, at one or more frequencies, and evaluating cerebral autoregulation in the intracranial bioimpedance, using a processor in the VIPS device.