A method for continuous acoustic signature recognition and classification includes a step of obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels. The target produces characterizing audio signals depending on a state or condition of the target. A plurality of features is extracted from the audio input signal with a signal processor. The plurality of features is classified to determine the state of the target. An acoustic monitoring system implementing the method is also provided.

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.

A cough detection system and method uses a first database of physiological information relating to a user for whom cough detection is to be implemented and relating to other people likely to be in the vicinity of the user. A second database (used in real time or as a part of a system calibration) has cough data associated with the physiological information. There is a set of cough detection algorithms, each one tailored to a particular set of physiological characteristics. A cough detection algorithm is selected or constructed which is suitable for identifying coughs of the user while ignoring coughs of the other people. This selected algorithm is applied to sound collected to identify coughs of the user.

Trained machine learning models can be used for analysis of signals obtained through an in-ear or on-body device. Signals can be analyzed to determine information related to activities such as eating, chewing, drinking, coughing, or sneezing. In addition, data from an in-ear thermometer or other data sensors can be analyzed in conjunction with the machine learning models to provide data or recommendations to a user on a user device or initiate an action.

The disclosed technology provides solutions for protecting the health of ride-sharing passengers by detecting passenger illnesses, and taking precautions to safely address potentially exposed vehicles. A process of the disclosed technology can include steps for: collecting sensor-data corresponding with one or more AV passengers, determining a likelihood that at least one of the AV passengers is suffering from a physical illness, and transmitting a wellness notification to a fleet management system if the likelihood exceeds a predetermined threshold. Systems and machine-readable media are also provided.

A method for detecting wheeze from an audio respiratory signal comprises capturing the audio respiratory signal from a subject using a microphone. Further, the method comprises recognizing a plurality of breath cycles and a plurality of breath phases from the audio respiratory signal and detecting wheezing from the plurality of breath cycles and the plurality of breath phases. The detecting comprises analyzing a block of interest in the audio respiratory signal, wherein the block of interest comprises a plurality of frames. The detecting further comprises calculating an auto-correlation function (ACF) for each frame in the block and determining a maximum value of the ACF calculated for each frame in the block. Finally, the detecting comprises analyzing the maximum value to detect if wheezing is present in the block.

A method for dynamically determining a separation distance in which thermal images of a space are received that indicate a count and location of users within the space, temperature of the users within the space are received along with acoustic data from the users within the space, which is filtered to include specific symptom-related sounds and discard other sounds. The one or more processors generate a probability of a contagious infection of users within the space at a location determined by the thermal images, based on correlating the temperature and the acoustic data associated with the users within the space. A separation distance from the users within the space is calculated, based on the locations and the probabilities of infection of the users within the space, and a notification corresponding to the calculated separation distance is delivered to a protected user.

The present discovery generally pertains to the formulation of therapeutic compounds to treat the symptoms of esophageal disorders. More specifically, the present discovery pertains to two 1-di-alkyl-phosphinoyl-alkanes (DIPA) called DIPA-1-8 and DIPA-1-9. These compounds are formulated as a shaped medicament and swallowed to suppress the symptoms of esophageal reflux and dyspepsia. The DIPA act by creating sensations of coolness and cold on the pharyngeal and esophageal lining. Some of the symptoms relieved include cough, chronic cough, heartburn, chest pain, bloat, belching, and dyspepsia. A preferred embodiment is DIPA-1-9 dissolved in a gel matrix. An aspect of the invention is to design the medicament to be intercepted, impeded, ensnarled, or trapped in the pharyngeal valleculae and pyriform sinuses before it passes down the esophagus. The goal is to prolong the transit time of the medicament, also herein sometimes call the Shaped-Gel, in the hypopharynx and esophagus, so the active ingredient has ample time to dissolve in saliva and reach receptors for cooling. By experiment, the ideal formulation of the Shaped-Gel was a flat rectangular or toroid shape, with a mass of 0.3 to 0.8 g. Flatness was defined as a pill with the shortest axis, preferentially 5 to 45% of the longest axis.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for geofencing and location tracking for predicting and limiting disease exposure. In some implementations, location tracking data is received indicating locations of user devices over time. Location tags specifying visits of the user devices to different locations indicated by the location tracking data are defined. A geofence is assigned to each of the location tags to specify a geofenced area corresponding to the location tag. Disease transmission scores are assigned to first location tags representing visits of a first user. A disease exposure score is determined for a second user whose user device is determined, based on the location tracking data, to have entered at least one of the geofenced areas corresponding to the first location tags.

A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.