The present disclosure discloses a PPG sensor, an electronic device and a wearable device. The PPG sensor includes a first light-emitting assembly configured to emit a first optical signal; a second light-emitting assembly configured to emit a second optical signal; and a plurality of photoelectric sensors configured to receive the first optical signal and the second optical signal. A distance between the first light-emitting assembly and at least one of the plurality of photoelectric sensors is greater than a minimum one of the distances between the second light-emitting assembly and each of the plurality of photoelectric sensors.

A method of correcting an error of an optical sensor which includes a light source and a detector, including adjusting a brightness of the light source to a preset brightness; controlling the light source to emit light to a preset material; acquiring preset material data corresponding to the emitted light and the preset material using the detector; and correcting, by using the acquired preset material data, an error of a distance between the light source and the detector based on a difference between a first amount of light received at a first point of the detector and a second amount of light received at a second point of the detector, or based on a gradation of an image obtained by the detector

Disclosed are a method and apparatus for sleep monitoring, an electronic device and a computer readable medium, relating to the field of health monitoring technology, the method comprises: a screen state of a target terminal is obtained; physiological parameters of a user are obtained, the physiological parameters including at least one of body motion parameters and heart rate parameters; a sleep state of the user is determined based on the screen state and the physiological parameters. Since the screen state can reflect the user's operation of the user terminal, and the operation can further reflect the sleep state of the user, and the physiological parameters can also reflect the sleep state of the user, the combination of the screen state and the physiological parameters can make the determination of sleep state more accurate.

A vital signal detection device includes: an antenna unit provided with a planar antenna of a MIMO radar on a front surface; and a display unit including a display panel on the front surface. The antenna unit is combined with the display unit or the display unit is combined with the antenna unit in a rotatable manner so that, from a state where the planar antenna and the display panel face in a direction ahead of the front surface, the planar antenna is turned to be directed to a direction of a back surface of the display unit opposite from the display panel. The portable non-contact vital signal detection device detects a vital signal on a side ahead of the front surface and a vital signal on a side in the direction of the back surface opposite from the front surface.

The present technology relates to the field of medical monitoring. Patient monitoring systems and associated devices, methods, and computer readable media are described. In some embodiments, a patient monitoring system includes one or more sensors configured to capture first data related to a patient and a monitoring device configured to receive the first data. In these and other embodiments, the patient monitoring system can include an image capture device configured to capture second data related to the patient. In these and still other embodiments, the one or more sensors can be configured to instruct the patient monitoring system to display the second data.

Systems and methods for detecting and monitoring human breathing, respiration, and heart rate using statistics about the wireless channel between two or more connected devices. A user is monitored for identifying patterns in the user's behavior that may allow the system to alert a caregiver to deviations in the user behavior that may be indicative of a potential issue, such as depression. A presence may further detected in a sensing area through the detection of spectral components in the breathing frequency range of comprises user includes transforming phase difference between spatial streams and amplitude of the samples representing frequency response of the channel for any frequency value into frequency domain to perform frequency analysis. Statistical analysis may be performed on the frequency space provided by the transformation. Micro motions may also be detected by detecting presence in a sensing area through the detection of spectral components in the micro motion frequency range.

Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

A cardiopulmonary resuscitation (CPR) cerebral monitoring device including a measurement probe having one or more optical emitters, and one or more optical detectors, and including an optical instrument having an optical source, and an optical detector. Also included is a controller configured to control the optical instrument to emit multi-spectral light through the one or more optical emitters to illuminate a tissue, control the optical detector to detect multi-spectral light emitted from the illuminated tissue, compare the emitted multi-spectral light to the detected multi-spectral light, compute a plurality of cerebral tissue parameters based on the comparison, determine CPR procedures based on the plurality of cerebral tissue parameters, and control a user output device to instruct a user to perform the CPR procedures, and/or control an automated CPR device to perform the CPR procedures.

A cardiopulmonary resuscitation (CPR) cerebral monitoring device including a measurement probe having one or more optical emitters, and one or more optical detectors, and including an optical instrument having an optical source, and an optical detector. Also included is a controller configured to control the optical instrument to emit multi-spectral light through the one or more optical emitters to illuminate a tissue, control the optical detector to detect multi-spectral light emitted from the illuminated tissue, compare the emitted multi-spectral light to the detected multi-spectral light, compute a plurality of cerebral tissue parameters based on the comparison, determine CPR procedures based on the plurality of cerebral tissue parameters, and control a user output device to instruct a user to perform the CPR procedures, and/or control an automated CPR device to perform the CPR procedures.

A vehicle control device includes a first control unit that executes, when an abnormality of a driver of a vehicle is detected, stop control, a second control unit that executes, when the vehicle is determined to have a risk of collision, deceleration control, a determination unit that identifies an object around the vehicle as a target candidate of the collision and determines whether or not there is the risk of the collision with the identified target candidate, and a setting unit that sets, when the abnormality is detected, an operation mode of the deceleration control to a special mode from a normal mode, the normal mode provided for cases in which the abnormality is undetected. The determination unit expands a range for identifying the object around the vehicle as the target candidate of the collision in the special mode as compared with the range in the normal mode.