A display device comprising a display panel including a first non-folding area having a first emission area, a second non-folding area having a sensing area and a folding area that is disposed between the first non-folding area and the second non-folding area. A first light emitting diode is disposed in the first emission area and a second light emitting diode and a light receiving element are disposed in the sensing area. A processor obtains a biometric signal of a user by using the light receiving element and at least one of the first light emitting diode and the second light emitting diode. The processor generates biometric information based on the biometric signal. The processor detects the biometric signal when the display panel is folded so that the first non-folding area and the second non-folding areas are disposed to face each other.

Apparatus for obtaining polarized imagery using a portable device, comprising a light source, a first polarizing filter configured to cover the light source, a second polarizing filter configured to cover the lens of a mobile device's built-in camera, one or more housing to contain the light source and filters, and couplers attached to the housings for coupling the housings to the mobile device. When the housing is coupled to the mobile device and the camera is operated, light from the light source passes through the first polarizing filter, then passes as polarized light through an illuminating path to illuminate an object being imaged. Then light from the illuminated object passes through an optical path, through the second polarizing filter to the camera lens. In embodiments, the axis of polarization of at least one of the polarizing filters can be modified to allow for cross, parallel and variable polarized imaging.

A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Some symptoms are identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Those comparisons are weighted to form a composite metric, which is compared to a composite threshold to determine if the user is likely to have contracted the disease. Because different individuals are at higher risk of contracting certain diseases, the determined based on specific characteristics of the user (e.g., potential comorbidities, age, gender, ethnic, racial, cultural, or economic status, geographic location, level of interaction with other individuals, etc.) that that have been identified in medical literature as increasing the individual's risk.

A bio-signal measuring apparatus includes: a substrate; a pulse wave measurer provided at the substrate and configured to measure pulse waves of a subject; and a pressure measurer provided at the substrate and configured to measure a contact pressure between the subject and the pulse wave measurer.

A contactless physiological measurement device is disclosed. The contactless physiological measurement device is an electronic device comprising a processor and a memory storing an application program. When the application program is executed, the processor controls a front camera and a rear camera of the electronic device to photograph a user, so as to obtain a face image and a hand image. Subsequently, after extracting a first rPPG signal and a second rPPG signal from the face image and the hand image respectively, physiological parameters are calculated by apply a signal process to the first/second rPPG signal. Moreover, a signal parameter difference is also acquired after applying a signal difference calculation to the two rPPG signals. Consequently, an estimation value of blood pressure is outputted by inputting user anthropometric parameter, said signal parameter difference and at least one physiological parameter into a pre-trained blood pressure estimating model.

This present invention discloses a fetal monitoring device that enables the monitoring of an unborn baby's heartbeat and its movements inside the womb. The fetal monitoring device includes an elastic strap with a fetal monitor disposed centrally on the strap. The fetal monitoring device is worn such that the strap fits to the abdomen of the pregnant woman, and the fetal monitor is placed adjacent to the location of the fetus, so as to monitor the fetus' condition and further project real-time imagery of the unborn baby on a related display device.

A signaling device including a data processing device; sensors for heart rate, breathing activity, galvanic skin response, skin blood flow, and movement of a person which respectively include radio communication devices for a wireless connection to the data processing device, wherein the data processing device is configured to wirelessly receive data captured by the sensors regarding a physiological condition of the person and to generate an acoustic, visual or tactile signal as a function of a change of the physiological condition, wherein the data processing device is configured to store the captured data in measurement series, to analyze the measurement series and to detect an increasing or excursive change of the condition in the measurement series, wherein the signal indicates a catheterization requirement of the person.

Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises determining identification data and identifying implantable medical device (IMD) information, initiating an imaging device and determining an imaging program, receiving one or more frames of image data including image(s) of an implantation site, identifying an abnormality at the implantation site, triggering a supplemental image capture mode, receiving one or more supplemental images of the implantation site, and outputting the one or more supplemental images of the implantation site.

A change in the emotional state of a user of a device is detected, and in response to this change a reason for the change in user emotional state is determined. This determination is made based on both the current user emotional state and context data for the device or user. The device then adapts to the user based on the current emotional state and the reason for the change in user emotional state. This adaptation of the computing device refers to an alteration of the operation of the computing device with a goal of increasing the likelihood of the user being in a good emotional state (e.g., happy, relaxed) and reducing the likelihood of the user being in a bad emotional state (e.g., sad, angry).

Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises identifying a first set of images that represent a particular location of a body of a patient in which at least one component of an implantable medical device (IMD) coincides, determining a projection of alteration characteristics of the particular location of the body, identifying a second set of images, determining a second set of alteration characteristics, comparing the second set of alteration characteristics to the projection, and identifying a potential abnormality at the particular location of the body.