Method for measuring respiratory vibration on a human or animal skin, including emitting an emission light at a first position on the skin and receiving a diffused light from the emission light at a second position on the skin; storing a vibration signal including a light intensity of the diffused light received over time; wherein the vibration signal corresponds to a mechanical vibration of the skin, and extracting a respiratory parameter from the vibration signal. In particular, at least one of the first position and the second position is in proximity to or at a trachea, a neck or a chest. The system for carrying out the method includes an emitter, a receiver, a circuit, and a processing unit. A set of a sensor module and a skin adhesive patch is also provided.

An example of a system for monitoring and treating a medical condition of a patient may include signal inputs to receive patient condition signals indicative of a state of inflammatory bowel disease (IBD), a signal processing circuit configured to process the patient condition signals and generate patient condition parameters indicative of the state of IBD using the processed patient condition signals, and a medical condition analyzer configured to analyze the patient condition parameters and determine the medical condition including the state of IBD using an outcome of the analysis. The patient condition parameters may include one or more physiological marker parameters each representative of a physiological marker of IBD and one or more quality of life parameters each being measure of quality of life of the patient.

A sensor for motion or gesture sensing may be configured to emit radio frequency signals such as for pulsed range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency signals. The received pulses may be processed by a motion channel and/or a gesture channel. The gesture channel may produce signals for further processing for identification of one or more different motion gestures such as by calculating and evaluating features from any of the amplitude, phase and frequency of the output signals of the gesture channel. The sensing apparatus may optionally serve as a monitor for evaluating user activities, such as by counting activities. The sensor may optionally serve as a user control interface for many different devices by generating control signal(s) based on identification of one or more different motion gestures.

A sensor for motion or gesture sensing may be configured to emit radio frequency signals such as for pulsed range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency signals. The received pulses may be processed by a motion channel and/or a gesture channel. The gesture channel may produce signals for further processing for identification of one or more different motion gestures such as by calculating and evaluating features from any of the amplitude, phase and frequency of the output signals of the gesture channel. The sensing apparatus may optionally serve as a monitor for evaluating user activities, such as by counting activities. The sensor may optionally serve as a user control interface for many different devices by generating control signal(s) based on identification of one or more different motion gestures.

It is an object to improve the accuracy of detecting breathing. The present system for detecting breathing comprises: a transmission unit that transmits radio waves to a plurality of positions including a position at which a subject is present; a reception unit that receives reflected waves as a result of reflection of the radio waves; a phase fluctuation calculator that calculates phase fluctuation of the reflected waves; a generator that performs a Fourier transform on the phase fluctuation and generates a spectrogram indicating a relationship between a time at which the reflected waves are received and a frequency component included in the reflected waves; and a breathing rate estimator that estimates a breathing rate of the subject by outputting a probability that the subject takes breaths at a predetermined frequency for each frequency based on the spectrogram and calculating a weighted average of the frequency by using the probability as a weight.

A social engagement system includes a first exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. The system also includes a communication module for connection to a cloud processing system, with the cloud processing system supporting connection to a second exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. Additionally, the connection allows transfer of data useful for social engagement.

In one embodiment, a photoacoustic imaging system receives user input to specify one or more imaging wavelengths, and a target number of image frames to be taken of a target tissue region. The specified imaging wavelengths are set to capture at least two different photoabsorbing molecules in the target tissue. The photoacoustic imaging system takes image frames at the specified wavelengths, while the system also receives ECG and respiration data of the subject. Image frames are discarded based on the respiration data, and the other image frames are sorted into a plurality of slots corresponding to different points of the cardiac cycle from the ECG data. The system creates a composite image from the one or more wavelengths to show the target tissue of interest through the different points of the cardiac cycle.

In some implementations, a user equipment (UE) may determine an angular motion using at least one gyroscope. The UE may adjust at least one measurement from at least one sensor that is associated with the UE and used to measure relative position, based at least in part on the angular motion. Additionally, in some implementations, the UE may determine at least one distance between the at least one sensor and an estimated grip associated with the UE, and determine at least one translation associated with the at least one sensor based at least in part on the angular motion and the at least one distance. Accordingly, the UE may adjust the at least one measurement by offsetting the at least one measurement based at least in part on the at least one translation.

Methods, apparatus and systems for wireless sleep monitoring are disclosed. In one embodiment, a described sleep monitoring system comprises: at least one sensor in a venue, wherein the at least one sensor comprises a wireless non-contact sensor having no physical contact with the user; a processor communicatively coupled to the at least one sensor; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: obtaining, based on the at least one sensor, a plurality of time series of sensing features (TSSF) associated with a sleep motion of a user in the venue, and monitoring the sleep motion of the user jointly based on the plurality of TSSF. At least one TSSF of the plurality of TSSF is obtained by: communicating, based on the wireless non-contact sensor, a wireless signal in a wireless multipath channel of the venue, extracting a time series of channel information (TSCI) of the wireless multipath channel of the venue from the wireless signal, and obtaining the at least one TSSF based on the TSCI.

Methods, apparatus and systems for wireless sleep monitoring are disclosed. In one embodiment, a described sleep monitoring system comprises: at least one sensor in a venue, wherein the at least one sensor comprises a wireless non-contact sensor having no physical contact with the user; a processor communicatively coupled to the at least one sensor; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: obtaining, based on the at least one sensor, a plurality of time series of sensing features (TSSF) associated with a sleep motion of a user in the venue, and monitoring the sleep motion of the user jointly based on the plurality of TSSF. At least one TSSF of the plurality of TSSF is obtained by: communicating, based on the wireless non-contact sensor, a wireless signal in a wireless multipath channel of the venue, extracting a time series of channel information (TSCI) of the wireless multipath channel of the venue from the wireless signal, and obtaining the at least one TSSF based on the TSCI.