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 indicates a non-distress stats and notifies a second set of contact when the opioid monitoring information indicates an overdose event. The notification can be a phone call or text message to a specified person, emergency personnel, or first responders, and can include the location of the smart mobile device. The smart mobile device can also include the location of the nearest treatment center having emergency medication used in treating opioid overdose, such as naloxone.

System and method for detecting cognitive decline in a subject using a classification system for detecting cognitive decline in the subject based on a speech sample. The classification system is trained using speech data corresponding to audio recordings of speech from normal and cognitive decline patients to generate an ensemble classifier comprising a plurality of component classifiers and an ensemble module. Each of the plurality of component classifiers is a machine-learning classifier configured to generate a component output identifying a sample data as corresponding to a normal patient or a cognitive patient. The machine-learning classifier is generated based on a subset of available features. The ensemble module receives component outputs from all of the component classifiers and generates an ensemble output identifying the sample data as corresponding to a normal or cognitive decline patient based on the component outputs.

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

The present disclosure provides an apparatus comprising a housing with a left side panel, right side panel, and top panel, each of which may comprise a slot. The apparatus may comprise a front panel that is insertable into the slots of the left and right-side panels. The front panel may comprise a recessed region configured to receive a portion of a medical instrument. A source of a barrier material may be supported by the left and right-side panels. The apparatus may comprise a lid cover comprising a roller portion that is insertable into a slot of the top panel. The lid cover may pivot relative to the housing when the roller portion is inserted into the slot of the top panel. The lid cover and the front panel may form a gap through which a portion of the barrier material may extend when the barrier material is dispensed.

The present disclosure provides a method for recognizing crackles, including: processing collected lung sound signal to extract moist rale component for a respiratory cycle; calculating a power spectrum of the moist rale component, and, calculating at least one of a ratio of power of each preset frequency band to total power of all preset frequency bands and the total power of all the preset frequency bands as a frequency domain parameter, and/or calculating at least one of a ratio of the number of occurrence of moist rale and a maximum amplitude of moist rale in the entire inspiratory phase as a time domain parameter; inputting the frequency domain parameter and/or the time domain parameter serving as a parameter feature into a classification model for recognition. The present disclosure further provides a system for recognizing crackles.

An examination device includes a processor, and the processor detects, in swallowing videoendoscopy in which an inflow object is given to a subject and a swallowing action is observed, at least two timings among a swallowing instruction timing at which a swallowing instruction is given, an inflow timing of the inflow object into the pharynx during the swallowing action, and a swallowing reflex triggering timing in the subject.

The proposed technology relates to a method for indicating a risk for coronary artery disease. A sound recording is obtained (100) covering a plurality of heartbeats, a plurality of heart sounds are identified (200) in the sound recording, and a plurality of segments are obtained (300) from the sound recording. A frequency power measure is determined (400) based on the signal strength of a first frequency window of a period in the diastole, an amplitude of the fourth heart sound is determined (500) based on the plurality of heart sounds and the plurality of segments, and an indication of a heart rate variability is determined (600) based on the plurality of heart sounds. The indication of the risk for coronary artery disease is then determined (700) based on the frequency power measure, the amplitude of the fourth heart sound, and the indication of the heart rate variability.

A device and method for verifying the proper position of catheters in the body by means of acoustic reflectometry, the device including a sound source, one or more sound receivers, a tube with compliant walls and open distal end to be introduced through an entrance to a body cavity, the sound source and receiver(s) coupled to the proximal end of the tube, a processor for causing the sound source to generate an acoustic excitation signal, the processor processing the acoustic signals sensed by the sound receiver(s) and generating an approximation of the acoustic impulse response of the tube, and the processor analyzing the acoustic impulse response to determine the position of the tube in the body cavity.

A device and method for verifying the proper position of catheters in the body by means of acoustic reflectometry, the device including a sound source, one or more sound receivers, a tube with compliant walls and open distal end to be introduced through an entrance to a body cavity, the sound source and receiver(s) coupled to the proximal end of the tube, a processor for causing the sound source to generate an acoustic excitation signal, the processor processing the acoustic signals sensed by the sound receiver(s) and generating an approximation of the acoustic impulse response of the tube, and the processor analyzing the acoustic impulse response to determine the position of the tube in the body cavity.

A method, a system and a program product for evaluating an intestinal function using bowel sounds are disclosed. The method comprises the following steps: A. continuously monitoring an abdominal cavity of an examinee within a specific time by using an audio collection apparatus, collecting a bowel sound signal of an intestinal tract inside the abdominal cavity, and converting the bowel sound signal into a digital signal; B. using higher-order statistics (HOS), by a processing unit, to remove noise from the digital signal; C. using a fractal dimension algorithm, by the processing unit, to capture a high-complexity feature from the digital signal, and defining the high-complexity feature as an intestinal motility signal, and D. evaluating the intestinal function of the examinee, by the processing unit, according to the intestinal motility signal.