In one embodiment, a Magnetic Resonance Imaging (MRI) apparatus includes: an RF coil configured to perform A/D conversion on a magnetic resonance (MR) signal received from an object and wirelessly transmit the MR signal; a main body configured to wirelessly receive the MR signal and generate a system clock; first communication circuitry configured to transmit the system clock by surface electric field communication using electric field propagation along a body surface of the object; and second communication circuitry provided in the RF coil and configured to receive the system clock transmitted by the surface electric field communication, wherein the RF coil is configured to operate based on the received system clock.

A wearable electronic device, comprising: a substrate: a first motion sensing region, comprising at least one first electrode on the substrate; a second motion sensing region, comprising at least one second electrode, wherein a shielding layer is provided on the second electrode, and the second electrode is between the shielding layer and the substrate, wherein a user causes more capacitance variation to the first electrodes and causes less capacitance variation to the second electrodes when the user wears the smart watch; a capacitance calculating circuit, coupled to the first electrode, configured to calculate a capacitance variation generated by the first electrode or the second electrode; and a motion determination circuit, configured to determine a motion of the wearable electronic device according to the capacitance variation of the first electrode or the capacitance variation of the second electrode.

A method of determining one or more vital sign parameters by a wireless vital-sign measurement device comprises: measuring motion information of a user wearing the wireless measurement device, the measurement device being in the idle mode in which at least one opto-electronic sensor in the measurement device is deactivated; switching the measurement device in an active mode if the motion information is below a predetermined threshold, wherein in the active mode the at least one opto-electronic sensor is activated; during a predetermined measuring period, exposing part of a skin tissue of the user to light and measuring one or more optical response signals associated with the exposed skin tissue and the motion sensor measuring motion information associated with movements of the user; and, selecting or rejecting one or more pulses in the one or more optical response signals on the basis of the motion information measured during the measuring period and determining one or more vital sign parameters on the basis of the one or more selected pulses.

A method intended for the evaluation of the quality of ratio of ratios (RR) values computed for at least two photoplethysmographic (PPG) signals corresponding to distinct wavelengths, each PPG signal including successive heartbeat patterns. The method includes the steps of: segmenting the PPG signals into a plurality of signal segments each corresponding to one heartbeat pattern; for each given signal segment, computing a sequence of RR values; and evaluating, for each given signal segment, a quality index of the sequence of computed RR values on the basis of a computed heart rate and/or a measured peripheral temperature corresponding to the given signal segment.

A wearable device for detecting and/or measuring physiological information from a subject includes a housing, at least one optical emitter supported by the housing, at least one optical detector supported by the housing, a first light guide supported by the housing, a second light guide supported by the housing, a motion sensor supported by the housing, and a processor supported by the housing. The processor is configured to calculate footsteps, distinguish footsteps from heart beats, and to remove footstep motion artifacts from signals produced by the at least one optical detector. Also, the processor is configured to process signals produced by the at least one optical detector to determine subject heart rate and to produce integrity data about the subject heart rate. The process is further configured to generate a multiplexed output serial data string comprising the subject heart rate and the integrity data.

Disclosed is apparatus and method for motion tracking of a subject in medical brain imaging. The method comprises providing a light projector and a first camera; projecting a first pattern sequence (S1) onto a surface region of the subject with the light projector, wherein the subject is positioned in a scanner borehole of a medical scanner, the first pattern sequence comprising a first primary pattern (P.sub.1,1) and/or a first secondary pattern (P.sub.1,2); detecting the projected first pattern sequence (S1′) with the first camera; determining a second pattern sequence (S2) comprising a second primary pattern (P.sub.2,1) based on the detected first pattern sequence (S1′); projecting the second pattern sequence (S2) onto a surface region of the subject with the light projector; detecting the projected second pattern sequence (S2′) with the first camera; and determining motion tracking parameters based on the detected second pattern sequence (S2′).

A monitoring device configured for insertion into a conduit of a subject includes a housing, at least one physiological sensor coupled to the housing, a transmitter coupled to the housing, an expandable element, inflatable element, stretched membrane or balloon coupled to the housing and configured to occlude at least a portion of the conduit, a power source attached to the housing, and a processor coupled to the housing and operatively coupled to memory containing computer instruction causing the monitoring device to obtain physiological information via the at least one physiological sensor where the physiological information includes one or more of pulse rate information, body temperature information, breathing rate information, blood pressure information, cardiac output information, or blood gas level information, and processing and analyzing the physiological information to provide a result.

Provided are a heart rate detection method and a wearable device. The wearable device includes a casing, a processor installed in the casing, and an optical heart rate sensing module and a distance sensing module connected to the processor and installed on a side of the casing facing a wearing part of a user. The method includes: detecting, by the distance sensing module, a positional relationship between the optical heart rate sensing module and the wearing part of the user to obtain relative position data of the optical heart rate sensing module relative to the wearing part of the user; and adjusting a signal transmission power of the optical heart rate sensing module according to the relative position data, and detecting, by the optical heart rate sensing module, a heart rate of the user.

Methods, systems, and method for predicting sensor measurement quality. In some implementations, the method comprises: measuring, using a wearable computing device that includes a processor and a sensor, information indicating motion of the wearable computing device during a current time period; identifying one or more parameters associated with a determination of a likelihood that one or more measurements from the sensor configured within the wearable computing device is of sufficient quality for calculating a physiological metric using the one or more measurements from the sensor, wherein the one or more parameters include contextual parameters associated with the wearable computing device; determining the likelihood that the measurement from the sensor associated with the user device is of sufficient quality at a second time period for calculating the physiological metric using the measurement from the sensor based on the identified one or more parameters and based on the information indicating the motion of the user device during the current time period; in response to determining that the likelihood exceeds a predetermined threshold, activating the processor and the sensor and collecting a measurement from the sensor at the second time period; and updating the identified one or more parameters based on the motion of the user device during the current time period and based on the measurement from the sensor at the second time period.

An arrangement structure for a biological sensor includes a biological sensor of a non-contact type provided in a seat on which a human is seated. The biological sensor detecting biological information of the human with electromagnetic waves. The biological sensor is arranged at a position in the seat avoiding a member that constitutes the seat and interferes with passage of the electromagnetic waves.