This relates to a monitoring system capable of measuring a plurality of vital signs. The monitoring system can include a plurality of sensors including, but not limited to, electrodes, piezoelectric sensors, temperature sensors, and accelerometers. The monitoring system can be capable of operating in one or more operation modes such as, for example: capacitance measurement mode, electrical measurement mode, piezoelectric measurement mode, temperature measurement mode, acceleration measurement mode, impedance measurement mode, and standby mode. Based on the measured values, the monitoring system can analyze the user's sleep, provide feedback and suggestions to the user, and/or can adjust or control the environmental conditions to improve the user's sleep. The monitoring system can further be capable of analyzing the sleep of the user(s) without directly contacting or attaching uncomfortable probes to the user(s) and without having to analyze the sleep in an unknown environment (e.g., a medical facility).

A controller delivers electrical stimulation therapy to a diaphragm through the one or more electrodes, and obtains a signal indicative of a pressure within an intrathoracic cavity from a pressure measurement source. The electrical stimulation therapy is defined by stimulation parameters. The controller obtains at least one additional signal indicative of a pressure within an intrathoracic cavity by changing at least one of the stimulation parameters, and delivering an electrical stimulation therapy to the diaphragm in accordance with the changed one of the plurality of stimulation parameters. The controller repeats the process of obtaining additional signals indicative of pressure based on a changing stimulation parameter by scanning through a range of values for the changing stimulation parameter. The controller derives a measure of interest from each of the obtained signals, and selects as an optimal stimulation therapy, the electrical stimulation therapy that results in a most acceptable measure of interest.

A controller delivers electrical stimulation therapy to a diaphragm through the one or more electrodes, and obtains a signal indicative of a pressure within an intrathoracic cavity from a pressure measurement source. The electrical stimulation therapy is defined by stimulation parameters. The controller obtains at least one additional signal indicative of a pressure within an intrathoracic cavity by changing at least one of the stimulation parameters, and delivering an electrical stimulation therapy to the diaphragm in accordance with the changed one of the plurality of stimulation parameters. The controller repeats the process of obtaining additional signals indicative of pressure based on a changing stimulation parameter by scanning through a range of values for the changing stimulation parameter. The controller derives a measure of interest from each of the obtained signals, and selects as an optimal stimulation therapy, the electrical stimulation therapy that results in a most acceptable measure of interest.

A method of detecting subject respiratory motion and non-respiratory motion includes: transmitting a transmitted signal toward a subject, the transmitted signal being an ultrasound wave, the transmitted signal reflecting off the subject to produce a reflected signal; receiving the reflected signal and converting a form of the reflected signal from ultrasound wave to electrical; comparing the reflected signal to at least a first reference signal to determine at least a first reference phase signal indicative of a first phase difference between the first reference signal and the reflected signal, the at least a first reference signal being associated with the transmitted signal; and analyzing the first reference phase signal for respiratory motion of the subject and non-respiratory motion, the non-respiratory motion including at least one of non-respiratory motion of the subject or motion of an entity other than the subject.

A media system controls presentation of media content based on a detected state of a user. The user state may be detected based on biometric inputs that may be derived from IMU and/or microphone data. The biometric inputs may include a heart rate detected from IMU data representing motion of a head-mounted media processing device, a breathing rate detected from IMU data representing motion of a head-mounted media processing device, a breathing rate detected based on microphone data, or a combination thereof.

A respiratory monitoring device comprises: a light source (30) arranged to generate a projected shadow (S) of an imaging subject (P) positioned for imaging by an imaging device (8); a video camera (40) arranged to acquire video of the projected shadow; and an electronic processor (42) programmed to extract a position of an edge of the projected shadow as a function of time from the acquired video. In some embodiments, the light source is arranged to project the shadow onto a bore wall (20) of the imaging device, and the video camera is arranged to acquire video of the projected shadow on the bore wall. The electronic processor may be programmed to extract the position of the edge (E) as a one-dimensional function of time (46) based on the position of the edge in each frame of the acquired video and time stamps of the video frames.

A respiratory monitoring device comprises: a light source (30) arranged to generate a projected shadow (S) of an imaging subject (P) positioned for imaging by an imaging device (8); a video camera (40) arranged to acquire video of the projected shadow; and an electronic processor (42) programmed to extract a position of an edge of the projected shadow as a function of time from the acquired video. In some embodiments, the light source is arranged to project the shadow onto a bore wall (20) of the imaging device, and the video camera is arranged to acquire video of the projected shadow on the bore wall. The electronic processor may be programmed to extract the position of the edge (E) as a one-dimensional function of time (46) based on the position of the edge in each frame of the acquired video and time stamps of the video frames.

A garment including a breath sensor module. The breath sensor module includes a stretchable sensor configured to respond to at least one of expansion and contraction of a torso of an individual wearing the garment. The breath sensor module also may include an electronics module. The electronics module includes, for example, a processor and a haptic feedback device. In response to the processor determining that the individual's breathing meets predetermined criteria based on the response of the stretchable sensor, the haptic feedback device produces haptic feedback such that the individual is reminded to breathe. Further, the breath sensor module does not include a transmitter or a receiver configured to transmit or receive data outside of the breath sensor module. Advantageously, this allows for streamlined use, and less-intrusive reminders to the individual wearing the garment, without the complexities of signal transmission or receiving.

Methods and systems are provided for obtaining cleaned sequences showing trajectories of movement of a center of gravity and for estimating a biometric information pattern or value of a target. One of the methods includes removing noises from initial sequences showing trajectories of movement of a center of gravity to obtain the cleaned sequences. Another one of the methods includes reading cleaned sequences of the target into a memory, extracting features from the cleaned sequences, and estimating a biometric information pattern or value of the target from the extracted features, using a classification or regression model of biometric information patterns or values. The biometric information pattern may be a pattern derived from respiratory or circulatory organs of a target.

Methods and systems are provided for obtaining cleaned sequences showing trajectories of movement of a center of gravity and for estimating a biometric information pattern or value of a target. One of the methods includes removing noises from initial sequences showing trajectories of movement of a center of gravity to obtain the cleaned sequences. Another one of the methods includes reading cleaned sequences of the target into a memory, extracting features from the cleaned sequences, and estimating a biometric information pattern or value of the target from the extracted features, using a classification or regression model of biometric information patterns or values. The biometric information pattern may be a pattern derived from respiratory or circulatory organs of a target.