In one example in accordance with the present disclosure, an electronic device is described. The example electronic device includes a microphone device to record a tracheal sound. The example electronic device also includes an oral expiratory flow sensor to measure oral expiratory flow contents. The example electronic device further includes a processor to determine a health condition based on the tracheal sound and the oral expiratory flow contents.

Systems and methods for provoking and monitoring neurological events are described herein. In some embodiments, a method for monitoring a patient includes outputting a user interface configured to guide the patient in performing a provocation sequence for a neurological event. The method can also include obtaining patient data indicative of a state of the patient during the provocation sequence. The method can further include evaluating suitability of the patient data for detecting an occurrence of the neurological event. The method can include outputting feedback via the user interface based on the evaluation.

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.

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 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.

Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

A sleep state sensing method and a sleep state sensing system are provided. The sleep state sensing method includes: sensing a designated physiological state through an electronic device to generate a first physiological signal group and sensing the designated physiological state through a physiological signal sensing instrument to generate a second physiological signal group; calibrating the electronic device based on the first physiological signal group and the second physiological signal group such that the electronic device generates a third physiological signal group; and determining a sleep state through the third physiological signal group.

An aspect of the present invention provides a method for analyzing a breathing-related sound, the method comprising the steps of: receiving a sound signal obtained while a recording device is in contact with a body; filtering noises at least including a signal related to a heart sound from the sound signal; decomposing the filtered sound signal into a plurality of base signals based on empirical mode decomposition, wherein a first base signal has different frequencies from a second base signal; determining a base signal associated with a lung sound from the plurality of base signals; and obtaining lung-related information using a sound analysis model and the determined base signal.

There is provided a respiratory monitoring device (100) comprising one or more respiratory-related sensors (110) and a first circuit board comprising a controller. The one or more respiratory-related sensors are separated from and in communication the first circuit board. There is also provided a respiratory monitoring device comprising a controller, one or more respiratory-related sensor and an input means (114). The input means is arranged to trigger the controller to suspend sensing by at least one of the one or more respiratory-related sensors for one or more predetermined time periods. There is also provided a respiratory monitoring device having a housing comprising a front surface (102) at which one or more respiratory-related sensors are arranged, and a back surface (120), wherein the front surface is arranged to indicate an intended orientation to a user of the respiratory monitoring device.

A micro, single piece, tubeless, cordless, directly inserted oral, nasal or hybrid sleep apnea treatment/anti-snoring device having controlled positive air-flow using a vibrationally isolated micro-blower to maintain an individual's upper airway unobstructed (pharynx area) with or without lower jaw, mandibular advancement is disclosed.