An inductive sensing system (8) is for detecting bleeding (e.g. blood pools) in one or more regions of the body. The system comprises a resonator circuit (10) having at least one antenna (12) which is driven with an oscillatory drive signal to cause generation of electromagnetic signals for application to a body. The signals induce eddy currents in the body which generate secondary EM signals returned from the body. These interact with the resonator circuit by adding an additional component of inductance to the circuit. This inductance component varies depending upon the conductivity of the fluid in which the eddy current is induced. Blood has a different conductivity to other body fluids. The system is configured to detect presence of abnormal accumulations of blood based on the additional inductance component. The system generates a data output representative of the determination.

A data processing method for detecting and classifying a segment of a signal that is obtained from a single-channel EEG-recording as a target signal segment or as a non-target signal segment. The method includes a voting process to determine whether classification of a first detected segment of the signal as a target signal segment or classification of a second detected segment of the signal as a non-target signal segment is correct. A device and a system that are configured and arranged to perform the data processing method.

The wearable article (200) comprises a sensing component. The electronics module (100) is removably coupled to the wearable article (200). The electronics module comprises a housing and a processor disposed within the housing (101). An interface element (121, 123) interfaces with the sensing component so as to receive signals from the sensing component and provide the same to the processor. A sensor (105) is disposed within the housing (101). The sensor (105) monitors a property of the environment external the electronics module (100) through the housing (101). The housing (101) is constructed such that the sensor (105) has line of sight through the housing (101).

Provided in the present disclosure are an electrical impedance tomography based method and device for generating a three-dimensional blood perfusion image. The method (100) comprises: using an electrode array distributed in a three-dimensional space to perform electrical impedance measurement on a human body region to be measured so as to obtain an electrical impedance measurement signal (110); and on the basis of a blood perfusion signal in the electrical impedance measurement signal, reconstructing a three-dimensional blood perfusion image by means of an image reconstruction algorithm (120). Therefore, a three-dimensional image of electrical impedance variations caused by blood perfusion can be generated; and compared with a two-dimensional image in the prior art, the three-dimensional image can more intuitively reflect the blood perfusion condition of a volume area in the three-dimensional space of a human body region, and facilitates image analysis and comparison and disease detection and diagnosis.

A device is disclosed comprising: an optical physiological sensor and a further measurement system. The optical physiological sensor comprises a light emitter and a light detector configured to detect the light from the light emitter after it has been attenuated by tissue comprising blood vessels. The optical physiological sensor is configured to determine the value of a physiological parameter from the detected light. The further measurement system is configured to determine when the value of the physiological parameter is likely to be reliable. The further measurement system comprises at least one measurement subsystem, each measurement subsystem employing a different measurement modality that is also different to a measurement modality used to determine the value of the physiological parameter.

A noninvasive method and system for sleep apnea detection is disclosed. The method includes the following steps: acquiring vital sign signals of a sleeping user; performing structured processing on the vital sign signals of the user to remove invalid signals to obtain a set of valid vital sign signals; extracting multi-dimensional morphological features from a sleep respiratory signal and performing feature training on an initial model of a classifier by means of the multi-dimensional morphological features so as to obtain a sleep breathing detection model; and inputting the set of valid vital sign signals into the sleep breathing detection model and performing signal processing to obtain predicted probability of the user suffering from sleep apnea. As a result, data relating to the probability of a user suffering from sleep apnea can be more accurately obtained, thereby facilitating the determination of whether a sleep apnea event occurs during sleep.

A method includes receiving first physiological data associated with a user during a first sleep session. The method also includes receiving second physiological data associated with the user subsequent to the first sleep session and prior to a second sleep session. The method also includes determining a recommended bedtime for the user for the second sleep session based at least in part on the first physiological data, the second physiological data, or both. The method also includes causing an indication of the recommended bedtime for the second sleep session to be communicated to the user via a user device before the recommended bedtime.

A device for measuring the turbidity of cerebrospinal fluid includes, a source of a light signal comprising having one or more wavelength(s), such that at least part of the emitted light signal passes through the cerebrospinal fluid; a flow element including an inlet and an outlet, the flow element being suitable for allowing cerebrospinal fluid to flow between the inlet and the outlet; an opaque element, arranged to absorb at least part of the emitted light signal after it has passed through the cerebrospinal fluid, and to allow another part of the emitted light signal to be reflected after it has passed through the cerebrospinal fluid; and an optical detector configured to detect the light signal after it has passed through the cerebrospinal fluid.

An electroencephalography net (44) comprised of electrodes (34, 36) coupled together by a connector (28) comprising separate elastically (32) and plastically (30) deformable elements.

A conformational state of a medical device operated within a body lumen is determined by measuring, using the medical device as an electrode, an electrical parameter which varies in a correspondence with a conformational state (e.g., deployment state) of the portion of the medical device used as the electrode. The conformational state of the medical device is determined, based on the electrical parameter; and an image is presented indicating the determined conformational state. In some embodiments, the electrical parameter is a self-impedance of the portion of the medical device used as the electrode. In some embodiments, current positioning of the medical device is used as part of calibrating a parametric relationship between the electrical parameter and conformational states of the medical device.