A system and method for determining a measurement of anxiety in a vehicle that include receiving sensor data from a plurality of sensors disposed within a plurality of areas of the vehicle. The system and method also include processing the sensor data into metrics associated with a type of measurement. Processing of the sensor data is completed by a neural network. The system and method also include analyzing the processed metrics and determining an anxiety level associated with an occupant of the vehicle. The system and method further include training the neural network based on the anxiety level and at least one driving event that is correlated with the anxiety level.

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.

A computer-implemented medical method of determining a breathing signal of a patient is disclosed. The method includes determining a motion trajectory of a structure associated with at least one body part of the patient, the motion trajectory being indicative of a respiratory movement of the structure, acquiring surface data representative of a position of a surface region of the patient, computing an intersection of the determined motion trajectory and the acquired surface data, and determining a breathing signal of the patient based on the computed intersection. The breathing signal is indicative of a breathing state of the patient.

A method is provided that includes receiving an accelerometer signal from an accelerometer in a headphone configured to be mounted in a user's ear canal and filtering the accelerometer signal to extract a cardiac signal. The method further includes detecting a plurality of peaks in the cardiac signal and determining a cardiac rate of the user based on the detected plurality of peaks.

Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

A system for monitoring the respiratory activity of a subject, which comprises one or more movement sensors, applied to the thorax of a subject, for generating first signals that are indicative of movement of the thorax of the subject; a receiver for receiving the first generated signals during breathing motion of the subject; and one or more computing devices in data communication with the receiver, for analyzing the breathing motion. The computing device is operable to generate a first breathing pattern from the first signals; divide each respiratory cycle experienced by the subject and defined by the first pattern into a plurality of portions, each of the portions delimited by two different time points and calculate, for each of the plurality of portions of a given respiratory cycle of the first pattern, a slope representing a thorax velocity; derive, from the given respiratory cycle of the first pattern, a pulmonary air flow rate of the subject during predetermined portions of the respiratory cycle; compare between corresponding portions of the first pattern and average flow rates during different phases of the breathing cycle, to calibrate a thorax velocities of the subject with pulmonary air flow rates; and determine respiratory characteristics of the subject for subsequent respiratory cycles experienced by the subject, based on a calculated thorax velocity and the calibration.

The present disclosure presents methods, systems and devices for performing capnography (respiratory CO.sub.2) monitoring using a respiratory CO.sub.2 sensor and a breath tracking mechanism for tracking and/or detecting phases of the breath wherein the measurements of the CO.sub.2 sensor may provide baseline CO.sub.2 values, and modulate/quantify the respiratory CO.sub.2 levels according to the baseline values.

A fabric-based item may be provide with a stretchable band. The stretchable band may be formed from a ring-shaped strip of stretchable fabric having an opening configured to fit around a body part of a user. Circuitry may be coupled to strands of material in the stretchable band. The circuitry may include sensor circuitry for making measurements on the body part such as electrocardiogram measurements, blood pressure measurements, and respiration rate measurements. Wireless communications circuitry in the fabric-based item may be used to communicate wirelessly with external electronic equipment. A wireless power transmitting device may transmit wireless power. A coil formed from conductive strands in the fabric-based item may be used by wireless power receiving circuitry in the fabric-based item to receive the wireless power. The coil may have one or more turns that run around the ring-shaped strip of stretchable fabric.

A fabric-based item may be provide with a stretchable band. The stretchable band may be formed from a ring-shaped strip of stretchable fabric having an opening configured to fit around a body part of a user. Circuitry may be coupled to strands of material in the stretchable band. The circuitry may include sensor circuitry for making measurements on the body part such as electrocardiogram measurements, blood pressure measurements, and respiration rate measurements. Wireless communications circuitry in the fabric-based item may be used to communicate wirelessly with external electronic equipment. A wireless power transmitting device may transmit wireless power. A coil formed from conductive strands in the fabric-based item may be used by wireless power receiving circuitry in the fabric-based item to receive the wireless power. The coil may have one or more turns that run around the ring-shaped strip of stretchable fabric.

The present disclosure describes a sleep staging system. The system comprises: one or more sensors configured to generate output signals conveying information related to breathing parameters of subject during a respiratory therapy session; and one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over a plurality of time windows, at least one of the time windows having a length of at least 60 seconds; determine sleep states of the subject by mapping the distribution of the breathing features to one or more sleep states using a sleep stage classifier model, the sleep stage classifier model configured to determine the sleep states; and provide feedback indicating the sleep states during the respiratory sleep session.