A61B7/00

Opioid overdose monitoring

An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.

PLEURAL EFFUSION PRE-SCREENING SYSTEM

A pleural effusion pre-screening system may be used to administer a percussive treatment to a patient's chest and/or back, sense the respiratory sounds from the percussive treatment, and analyze those respiratory sounds. The pleural effusion pre-screening system may have a high frequency chest wall oscillation (HFCWO) vest which includes at least one adjustable strap.

TOILET SYSTEM WITH SENSORS FOR MEASURING EXCRETION OUTPUT OF A USER

A toilet system comprising a bowl and an outlet, the toilet system being adapted for discerning between types of excretion excreted by a user of the toilet system, where the toilet system comprises at least one first sensor device configured to capture at least one signal indicative of a type of excretion excreted by a user of the toilet system, and at least one second sensor device configured to capture at least one signal indicative of a quantity of excretion excreted by a user of the toilet system.

Acoustic sensor assembly

An acoustic sensor is configured to provide accurate and robust measurement of bodily sounds under a variety of conditions, such as in noisy environments or in situations in which stress, strain, or movement may be imparted onto a sensor with respect to a patient. Embodiments of the sensor provide a conformable electrical shielding, as well as improved acoustic and mechanical coupling between the sensor and the measurement site.

Acoustic sensor assembly

An acoustic sensor is configured to provide accurate and robust measurement of bodily sounds under a variety of conditions, such as in noisy environments or in situations in which stress, strain, or movement may be imparted onto a sensor with respect to a patient. Embodiments of the sensor provide a conformable electrical shielding, as well as improved acoustic and mechanical coupling between the sensor and the measurement site.

Apparatuses for detecting and/or diagnosing swallowing disorders

Apparatuses for detecting swallowing disorders and methods for using same are provided. In a general embodiment, the apparatuses include a disposable sensor base and a sensor that is received by the disposable sensor base. The sensor base includes a sensor interface having a predetermined cut-away shape and a directionally-keyed mating surface. The sensor includes a handle portion having a shape that corresponds to the predetermined shape of the sensor interface, a support portion configured to be received by the directionally-keyed mating surface when the sensor is inserted into the sensor interface, and electronics configured to collect data sensed by the sensor. The apparatuses of the present disclosure can be attached to a patient's neck to detect and/or diagnose swallowing disorders during a swallowing test.

ANALYZING A PATIENT'S BREATHING BASED ON ONE OR MORE AUDIO SIGNALS
20230225695 · 2023-07-20 ·

Audio signals, collected with equipment commonly available to individuals (e.g., a mobile device), can be used to analyze a patient’s breathing. An audio signal associated with the patient’s breathing for a time period can be detected with the mobile device and used to approximate the patient’s respiratory flow for the time period. For example, the audio signal can be analyzed by determining a representation of an audio frequency of the audio signal, splitting the audio frequency of the audio signal into distinct time steps, determining points comprising a weighted mean frequency at each time step, applying a frequency-to-flow rate linear transformation at each time step to approximate the respiratory flow versus time, and plotting a graphical representation of the respiratory flow versus time. The respiratory flow for the time period can be tagged with a factor related to the patient and saved in a database for future analysis.

COMPLIANCE-BASED CLEANING DEVICE
20230012506 · 2023-01-19 ·

A compliance-based cleaning device includes an internal housing and a sanitization chamber coupled to the internal housing and configured to receive a piece of equipment to be cleaned. The sanitization chamber transitions between an open position and a closed position by rotating about an axis within the internal housing. The device further includes a cleaning member located in proximity to the sanitization chamber and configured to perform a cleaning process on the piece of equipment in response to the sanitization chamber entering the closed position.

COMPLIANCE-BASED CLEANING DEVICE
20230012506 · 2023-01-19 ·

A compliance-based cleaning device includes an internal housing and a sanitization chamber coupled to the internal housing and configured to receive a piece of equipment to be cleaned. The sanitization chamber transitions between an open position and a closed position by rotating about an axis within the internal housing. The device further includes a cleaning member located in proximity to the sanitization chamber and configured to perform a cleaning process on the piece of equipment in response to the sanitization chamber entering the closed position.

DIAGNOSING RESPIRATORY MALADIES FROM SUBJECT SOUNDS
20230015028 · 2023-01-19 ·

A method for predicting the presence of a malady of the respiratory system in a subject comprising: operating at least one electronic processor to transform one or more sounds of the subject that are associated with the malady into corresponding one or more image representations of said sounds; applying said one or more representations to at least one pattern classifier trained to predict the presence of the malady; and operating said processor to predict the presence of the malady in the subject based on at least one output of the at least one pattern classifier.