A wheezing detection apparatus includes a breathing sound detection unit that detects a breathing sound of a measurement subject and acquires a breathing sound signal in a time series expressing the breathing sound. The wheezing detection apparatus includes a determination processing unit that, in each pre-determined processing unit period, converts the breathing sound signal into a frequency space to acquire a frequency spectrum of the breathing sound, and based on a height and a width of a peak in the frequency spectrum, determines whether or not the peak indicates wheezing.

The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.

Systems, devices, and methods are provided to facilitate the implementation of a “proning protocol” to improve a clinical outcome for a person having SARS-CoV-2 (COVID-19) or other condition that may benefit from spending time in the prone position. For example, a system may include a mobile device (e.g., smartphone, tablet, etc.) providing a proning application configured to manage a configuration and implementation of a proning protocol for a person and configured to receive sensor data from (a) a wearable sensor device secured to the person and including sensor(s) (e.g., accelerometer(s)) that monitor the person body position, and/or (b) other sensor(s) that monitor other physiological parameters relative to the proning protocol. The proning application may determine and output feedback to manage the person's position based at least on the received sensor data and defined parameters of the proning protocol.

An ostomy bag can include one or more sensors for measuring one or more metrics. An ostomy wafer can also include one or more sensors for measuring one or more metrics. The sensors can be temperature sensors and/or capacitive sensors, for example, and the metrics can include bag fill, leakage, skin irritation, and phase of stoma output, among others.

Systems and methods are disclosed related to using acoustic waves to detect neural activity in a brain and/or localize the neural activity in the brain. Sensors positioned outside of a skull encasing the brain can detect acoustic waves associated with the neural activity in the brain. From output signals of the sensors, a particular type of neural activity (e.g., a seizure) can be detected. A location of the neural activity can be determined based on outputs of the sensors. In some embodiments, the ultrasound energy can be applied to the location of the neural activity in response to detecting the neural activity.

Methods for monitoring a fetus employ a mobile computing device. A method of monitoring a fetus includes generating a first preprocessed acoustic signal via amplification of a first acoustic signal. The first preprocessed acoustic signal is processed by a mobile computing device to extract one or more of a fetal heart sound, a fetal heartbeat rate, or a fetal heartbeat acoustic intensity.

Methods for monitoring a fetus employ a mobile computing device. A method of monitoring a fetus includes generating a first preprocessed acoustic signal via amplification of a first acoustic signal. The first preprocessed acoustic signal is processed by a mobile computing device to extract one or more of a fetal heart sound, a fetal heartbeat rate, or a fetal heartbeat acoustic intensity.

Lumen-traveling biological interface devices and associated methods and systems are described. Lumen-traveling biological interface devices capable of traveling within a body lumen may include a propelling mechanism to produce movement of the lumen-traveling device within the lumen, electrodes or other electromagnetic transducers for detecting biological signals and electrodes, coils or other electromagnetic transducers for delivering electromagnetic stimuli to stimulus responsive tissues. Lumen-traveling biological interface devices may also include additional components such as sensors, an active portion, and/or control circuitry.

A heart monitoring system for a person includes one or more wireless nodes; and wearable appliance in communication with the one or more wireless nodes, the appliance monitoring vital signs.

Disclosed herein are breathing disorder identification, characterization and diagnosis methods, devices and systems. In general the disclosed methods, devices and systems may rely on the characterization of breath sound amplitudes, periodic breath sounds and/or aperiodic breath sounds to characterize a breathing disorder as obstructive (e.g. obstructive sleep apnea—OSA) or non-obstructive (e.g. central sleep apnea—CSA).