A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

An example of a system for monitoring and treating respiratory distress in a patient may include signal inputs, a signal processing circuit, and a respiratory distress analyzer. The signal inputs may be configured to receive patient condition signals indicative of autonomic balance of the patient. The signal processing circuit may be configured to process the patient condition signals and to generate patient condition parameters indicative of the autonomic balance using the processed patient condition signals. The respiratory distress analyzer may be configured to determine a state of the respiratory distress using the patient condition parameters, and may include a parameter analysis circuit configured to analyze the autonomic balance of the patient and to determine the state of the respiratory distress using an outcome of the analysis.

An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.

Techniques are disclosed for using feature delineation to reduce the impact of machine learning cardiac arrhythmia detection on power consumption of medical devices. In one example, a medical device performs feature-based delineation of cardiac electrogram data sensed from a patient to obtain cardiac features indicative of an episode of arrhythmia in the patient. The medical device determines whether the cardiac features satisfy threshold criteria for application of a machine learning model for verifying the feature-based delineation of the cardiac electrogram data. In response to determining that the cardiac features satisfy the threshold criteria, the medical device applies the machine learning model to the sensed cardiac electrogram data to verify that the episode of arrhythmia has occurred or determine a classification of the episode of arrhythmia.

Various systems and methods are provided for determining a posture of an occupant of a vehicle. In one embodiment, a method comprises capturing images of an occupant in a vehicle via a vehicle camera, determining a current posture of the occupant and a recommended posture for the occupant based on the captured images and body measurements of the occupant, and outputting a guidance based on a difference between the current posture and the recommended posture. In this way, a comfort of the occupant may be increased by guiding the occupant toward a more ergonomic posture.

A key input device applicable to a smart mat is provided, where the key input device includes a first layer in which a plurality of row contacts are formed, a second layer in which a plurality of column contacts are formed, an insulating layer disposed between the first and second layers to form an insulating region and a current carrying region, and a processor configured to detect that at least one of a plurality of key switches formed by the plurality of row contacts and the plurality of column contacts is pressed.

A urinary catheter can be retained inside the body for extended periods. A catheter mating device can connect to the catheter to move the catheter inside of the body or remove it from the body. The catheter includes: (1) a tube having a lumen and an outer surface, (2) a retainer that may have an attachment portion attached to the tube and a flap or handle-shaped structure attached to the attachment portion, wherein the retainer has a first, contracted position and a second, extended position, and (3) an bladder retention structure at the catheter's distal end, wherein the bladder retention portion may comprise a flap or a handle-shaped portion and that has a first, compressed position and a second, extended position. The retainer and/or bladder retention structure each are configured to retain the catheter in the proper position inside of a user's body.

A method of extracting and displaying postural measurements from patient data includes retrieving, by a processor of a computing device, the patient data from memory. The patient data includes a geometric mesh representation of a patient, including a plurality of data points corresponding to spatial coordinates of a plurality of vertices in three dimensions. The method also includes determining, by the processor, a reference geometry along the geometric mesh representation in a fixed position with respect to the spatial coordinates; determining, by the processor, a landmark corresponding to one of skeletal or soft tissue anatomy for the patient; and determining, by the processor, a postural deviation of a body portion of the patient by comparing the reference geometry and the landmark. The method further includes displaying, by a display of the computing device, a graphical user interface indicating a characteristic related to the postural deviation.

Systems and methods for facilitating exercise monitoring are provided. A representative method includes: using a processor, having processor circuitry, to: compute an orientation change of the single wearable device based on the motion readings; determine a current training type and a target status associated with the current training type based on the schedule of training types; select one of the computing models associated with the current training type; compare the set of matching orientation changes corresponding to the current training type and the orientation change of the single wearable device with respect to a determination threshold corresponding to the current training type until the target status associated with the current training type has been attained; and compute an exercise amount associated with the current training type based on the target status attained.

Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.