Disclosed are a detection apparatus for biological characteristic information and an electronic device. The detection apparatus including a first button. A cavity is formed in a shell of the first button. The detection apparatus includes: a first detection part. The first detection part includes: a first pulse wave detection module at least partially arranged in the cavity and configured to detect a first pulse wave signal of a user when the user presses the first button; and a pressure sensing module at least partially arranged in the cavity of the first button and configured to detect a pressure signal applied to the first button by the user, where the first pulse wave signal is a corresponding pulse wave signal when the user applies the pressure signal, and the pressure signal and the first pulse wave signal are used to detect first biological characteristic information of the user.

A method includes estimating, by a consumer electronic device, an atrial fibrillation (AF) burden of a subject based on multiple measurements passively collected by at least one sensor associated with the consumer electronic device while the subject is in a free-living environment. The method also includes outputting, by the consumer electronic device, an AF burden notification associated with the subject based on the estimated AF burden. The method further includes outputting, by the consumer electronic device, an AF burden recommendation based on the estimated AF burden.

A breathing training, monitoring and/or assistance device is provided for home use. The device is for providing support and guidance during the training of breathing exercises. The device takes account of external data which relates to one or more of: the environmental conditions in which the device is being used; activity information in respect of the user; physiological sensor data about the user which is not related to breathing characteristics.

There is provided a device comprising a blood pressure sensor for sensing blood pressure and a method for controlling the device. An angle of the device with respect to the direction of gravity is determined (202) and a location of one or more features of the user holding the device is identified (204). A height of the blood pressure sensor relative to a heart level of the user is determined based on the determined angle of the device with respect to the direction of gravity and the identified location of the one or more features of the user (206). The device is controlled based on the determined height of the blood pressure sensor relative to the heart level of the user (208).

Identifying a state of a user (e.g., attentive, distracted, mind wandering, etc.) based on the user's physiological (e.g., pupillary) response to luminance change events in which a portion or all of the content quickly becomes brighter or dimmer.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

Computer-implemented method for determining at least one production value for producing a custom tailored compression garment for a limb (23), wherein the production value is associated with at least one measurement position along the length of the limb (23), comprising the steps of: receiving a three dimensional dataset of the limb (23) acquired using a 3D scan device (20), evaluating the dataset to derive at least one reference information describing the position (1-14) of an anatomical feature of the limb (23) along the length of the limb (23), determining the at least one measurement position for the at least one production value in the three dimensional dataset using at least one rule of a rule set (34), wherein each rule relates at least one reference information to at least one measurement position, determining the at least one production value from the three dimensional dataset at the at least one determined measurement position.

The techniques described herein relate to computerized methods and apparatus for insulin dosing guidance and decision support for diabetic patients. The techniques can recommend one or more exercises to a diabetic patient. The techniques can recommend adjustments to a diabetes treatment plan based on a diabetic patients planned exercise. The techniques can provide recommendations to a diabetic patient while exercising. The techniques can customize a computerized exercise planning tool that is used to develop an exercise plan for a diabetic patient based on user preference data of the diabetic patient, data indicative of a treatment aspect of the diabetic patient, data indicative of a physiological aspect of the patient, or some combination thereof.

An apparatus for estimating a component of an analyte may include a sensor including a light source configured to emit light to the analyte, and a detector configured to measure a spectrum of light reflected from the analyte; and a processor configured to: based on an initial amount of received light being obtained from the analyte by operating the sensor under initial operating conditions, determine optimal operating conditions based on the initial amount of received light and the initial operating conditions; and based on a spectrum being measured from the analyte by operating the sensor under the optimal operating conditions, estimate the component of the analyte based on the spectrum.

A biological information measuring apparatus for measuring biological information using an image sensor is provided. The biological information measuring apparatus may include a light-emitting pixel array including rows of light-emitting pixels; a light-receiving pixel array including rows of light-receiving pixels. The light-receiving pixel array may be configured to sample light that is emitted from the light-emitting pixel array and reflected by an object. The apparatus may include a bio-signal processor configured to measure biological information using data sampled by the light-receiving pixel array. Each of the light-emitting pixels may include a storage capacitor configured to store an n.sup.th light-emitting pixel signal and a memory capacitor configured to store an (n+1).sup.th light-emitting pixel signal.