There is a viscoelastic strain sensor that includes a sensing layer including a viscoelastic material, the viscoelastic material including a viscoelastic hydrogel and a conductive nanofiller. The viscoelastic material has a fractional resistance change that increases with an increase of an applied tensile strain, and the viscoelastic material has a fractional resistance change that decreases with an applied compressional strain.

There is a viscoelastic strain sensor that includes a sensing layer including a viscoelastic material, the viscoelastic material including a viscoelastic hydrogel and a conductive nanofiller. The viscoelastic material has a fractional resistance change that increases with an increase of an applied tensile strain, and the viscoelastic material has a fractional resistance change that decreases with an applied compressional strain.

A wearable cardioverter defibrillator (WCD) having a processor configured to receive a signal indicating a position and/or movement of the ambulatory patient while the ambulatory patient is wearing the support structure receive the ECG signal, determine from an ECG signal whether a shock criterion is met, determine a confirmation time period and/or a response time period based on the position and/or movement of the ambulatory patient, determine from the ECG signal whether the shock criterion is met after the confirmation time period has elapsed, cause the user interface to generate the shock alert signal based on the shock criterion determined after the confirmation time period has elapsed, and control the discharge circuit to discharge the stored electrical charge when a predetermined time period has elapsed after the shock alert signal.

A medicament device sensor (Sensor) comprises a body, a front wall, a back wall, an audio sensor, and a plurality of pressure sensors. The body includes a bottom surface on which the various sensors are coupled. The front wall and the back wall provide mirror symmetry in at most one plane, thereby defining a single orientation in which the Sensor attaches to the medicament device. The front wall includes a securement clip that attaches to a ledge on the medicament device. To detect secure attachment of the Sensor to the medicament device, one pressure sensor detects pressure when the Sensor is secured to the medicament device. Another one or more pressure sensors detect depression of one or more dosing buttons confirming priming of the medicament device. The audio sensor detects an inhalation confirming dispensing of medicament. In effect, the Sensor determines a dispensing event has occurred.

A monitoring device has microphones, an ADC; a digital radio; and a processor with firmware. The firmware includes code for digitizing audio from the microphones into time-domain audio, performing FFT to provide frequency-domain audio, running a first neural network on time domain and frequency-domain audio to extract features, executing a classifier on the features to identify candidate events, and using the digital radio to upload candidate events and features. A pressure sensor awakens the processor from a low-power state. In particular embodiments, the first neural network is an embedded Gated Recurrent Unit having weights trained to extract features of use in the classifier; and candidate events include normal inhalation and exhalation breathing sounds, crackles, wheezes, coughs, snoring, gasping, choking, and speech sounds and in some embodiments heart sounds. A method of monitoring breathing during sleep includes attaching the device to, or embedding the device within, a pillow.

A method of monitoring respiration with an acoustic measurement device, the acoustic measurement device having a sound transducer, the sound transducer configured to measure sound associated with airflow through a mammalian trachea, the method includes correlating the measured sound into a measurement of tidal volume and generating at least one from the group consisting of an alert and an alarm if the measured tidal volume falls outside of a predetermined range.

A method includes receiving motion data from at least one sensor of a wearable device worn by a user. The method further includes receiving audio data from at least one sensor of the wearable device, the audio data representative of sounds emanating from the user's respiratory system. The method further includes comparing the motion data to a motion data criteria. The method further includes comparing the audio data an audio data criteria. The method further includes determining, based on the comparison of the motion data to the motion data criteria and the comparison of the audio data to the audio data criteria, whether the user has coughed.

A method is proposed for determining a pulse rate through a sound-sensing element placed on an individual's trachea. The method includes a preliminary step of recording sound signals for a lengthy duration, and subsequently the following steps: filtering digital signals representative of the sound signals by using an adaptive filter, applying a lowpass filter to the signals obtained in order to select the signals comprised in a specified passband, selecting a first temporal portion of filtered digital signals of a specified duration, intercorrelation with a temporal portion of filtered digital signals that follows the first temporal portion in time and is of a same duration, searching for the intercorrelation, computing the time interval corresponding to this temporal position and computing the corresponding pulse rate throughout the recording duration, to obtain a temporal series of pulse rates.

A system having a scope with a longitudinal length extending between a proximal end and a distal end includes a plurality of markers spaced along the longitudinal length. The system also includes a disassociation and positioning device that is configured to enhance unsedated transnasal endoscopic procedures by at least partially occluding the vision of a patient while enabling body cavity access, and optionally record and sense body functions such as temperature, heart rate and oxygenation of the blood stream. The system further includes a sensor integrated into the distraction device, wherein the sensor is configured to detect the markers on the longitudinal length of the scope.

The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.