A system includes a controller coupled to one or more sensors. The controller receives sensor data indicative of biometric data an occupant of a vehicle seat from the sensors. The controller receives the sensor data and analyzes the data to provide biometric data associated with the occupant of the vehicle seat.

A method of performing clock synchronization between two apparatuses includes storing, in a first apparatus, information representing synchronization accuracy required by at least one function of the apparatus; carrying out, by the first apparatus, a service discovery procedure with a second apparatus, and receiving clock information from the second apparatus during the service discovery procedure; determining, by the first apparatus on the basis of the received clock information and said stored information, whether or not synchronization accuracy is sufficient for the at least one function; and upon determining that the synchronization accuracy is sufficient for the at least one function, synchronizing a clock of the first apparatus with a clock of the second apparatus.

A bed has a mattress to support a user laying on the bed. A first balistocardiograph (BCG) sensor is configured to collect first-BCG data from a first location of the user laying on the bed due to pressure applied to the bed by the user. A second BCG sensor is configured to collect second-BCG data from a second location of the user. A computer-system may include a process and memory, the computer-system configured to: receive the first BCG-data and the second-BCG data and determine one or more blood-pressure (BP) values for the user.

Systems and computer-implemented methods of automated physiological monitoring and prognosis of a plurality of subjects. A system includes a plurality of monitoring devices, each having a portion configured for deployment on a surface either opposite a concha or over a mastoid region of a subject, where real-time physiological parameter monitoring is performed. Each monitoring device also includes processor-executable program code configured to periodically generate respective values indicative of real-time physiological signs for the respective subject, and a transmitter configured to periodically and wirelessly transmit these periodically generated respective values to a mobile communication and display device. The mobile communication and display device is configured to use these periodically received respective values for the plurality of subjects from the plurality of monitoring devices to periodically generate a respective prognosis score for each subject, and to periodically generate an alert for at least two of the subjects.

Autoregressive modelling is used to identify periodic physiological signals such as heart rate or breathing rate in an image of a subject. The colour channels of a video signal are windowed and normalised by dividing each signal by its mean. The ratios of the normalised channels to each other are found and principal component analyses conducted on the ratio signals. The most periodic of the principal components is selected and autoregressive models of one or more different orders are fitted to the selected component. Poles of the fitted autoregressive models of different orders are taken and pure sinusoids corresponding to the frequency of each pole are generated and their cross-correlation with the original component is found. Whichever pole corresponds to the sinusoid with the maximum cross-correlation is selected as the best estimate of the frequency of periodic physiological information in the original video signal. The method may be used in a patient monitor or in a webcam-enabled device such as a tablet computer or smart phone.

A mobile newborn care bed is configured to be positioned at a delivery location of an infant includes a bassinet containing a mattress for receiving the infant and a frame that supports the bassinet. At least two capacitive sensors are incorporated in the mattress that record cardiac signals, and an on-bed computing system is configured to receive the cardiac signals and determine a heart rate for the infant. A battery supported by the frame powers the on-bed computing system, and a digital display is communicatively connected to the on-bed computing system and displays the heart rate.

An occupant support includes a vehicle seat, a sensor coupled to the vehicle seat, and a controller coupled to the sensor. The sensor provides a signal to the controller and the controller processes and responds to the sensed signal.

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.

A device and related method for determining a physiological characteristic of a user, the device including a case having a display disposed on a major face of the case, the case containing a motion sensor configured to measure a signal representative of the physiological characteristic of the user when the case is in contact with the user's body, and a processor configured to receive data characteristic of the signal from the motion sensor, process the data from the motion sensor to determine the physiological characteristic, compare the processed data to at least one of a predetermined threshold or a pattern to determine a quality thereof, and provide feedback to the user to suggest an action by the user to improve a quality of the signal measurement, when the determined quality of the processed data is below a quality associated with the predetermined threshold or pattern.

In accordance with embodiments of the present disclosure, a user-platform apparatus, such as a bodyweight sensing scale, includes a heart/cardiogram sensor which is used to detect heart and vascular characteristics of a user, and provide a cardiogram output indicative of the detected cardiovascular characteristics. The cardiogram output can be used for various purposes, such as detecting arterial stiffness and/or aging.