An apparatus for estimating bio-information includes: an impedance sensor including a pair of input electrodes and a pair of receiving electrodes, and configured to measure bio-impedance of a user by applying a current to the pair of input electrodes and by measuring a voltage between the pair of receiving electrodes; and a processor configured to estimate bio-information by applying, to the measured bio-impedance, an estimation model that uses a correlation between the measured bio-impedance and the bio-information to be estimated.

A system for monitoring patients during a consciousness-altering therapeutic treatment session including a data collection module in electronic communication with network servers for storage of data on non-transitory computer readable media for monitoring a patient's well-being during and after the treatment session. A method of using the system in treating a patient, by continuously, continually, or at the healthcare professionals discretion monitoring the well-being of the patient during a consciousness-altering therapeutic treatment session through one or more wearable devices and a patient mobile device in electronic communication with a facilitator mobile device, and continuously monitoring the well-being of the patient after the treatment session with the wearable device.

Systems, methods, apparatuses, and computer program products for contactless image-based blood oxygen estimation. A method may include receiving an image or video of a part of a subject captured by a camera of a computing device. The method may also include extracting a region of interest of the part of the subject from the image or video. The method may further include performing feature extraction of the region of interest. In addition, the method may include estimating a blood oxygen saturation level of the subject based on a spatial and temporal data analysis of more than two color channels. Feature extraction and estimation of the blood oxygen saturation level may include implementing a combination of spatial averaging, color channel mixing, and temporal trend analysis.

A computer system obtains at least one 3D scan of a body surface; automatically identifies, based on the at least one 3D scan, one or more features (e.g., nose, lips, eyes, eyebrows, cheekbones, or specific portions thereof, or other features) of the body surface; and generates a digital 3D model of the body surface. The digital 3D model includes the identified features of the human body surface. In an embodiment, the step of generating of the digital 3D model is based on the at least one 3D scan and the identified features of the body surface. In an embodiment, the digital 3D model comprises a 3D mesh file. The digital 3D model can be used in various ways. For example, output of a manufacturing process (e.g., a 3D printed item, a cosmetics product, a personal care product) can be based on the digital 3D model.

An apparatus for estimating lipid concentration is provided. According to an example embodiment, the apparatus may include a training data collector configured to collect, as training data, a reference lipid concentration measured through blood samples of a plurality of users for a predetermined time period and sensor data obtained through light signals detected from the plurality of users for the predetermined time period and a processor configured to perform preprocessing including a moving average and data augmentation on the obtained sensor data, select a valid variable relevant to a change in lipid concentration based on the preprocessed sensor data and the reference lipid concentration, and generate a lipid concentration prediction model based on the selected valid variable.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

Embodiments of the present disclosure relate to heart sound measurements using mobile devices. In an embodiment, a medical system for monitoring heart sounds of a subject comprises a medical device configured to obtain, during a first sampling interval, a first physiological signal. The medical system further comprises a mobile device comprising an accelerator, wherein the accelerator is configured to obtain, during a second sampling interval, a second physiological signal. And, the medical system comprises an analysis component configured to extract heart sounds data from the second physiological signal.

The head-position sway measuring device (D) includes a touch panel (1a) that gives the instruction to open or close eyes, an acceleration sensor (2a) that measures a displacement of a head position, and a sway recognition unit (1b) that recognizes a head-position sway value based on the displacement of the head position. The acceleration sensor (2a) measures a first measurement value, which is a measurement value obtained in the eye-open state, and then measures a second measurement value, which is a measurement value obtained in the eye-closed state. The sway recognition unit (1b) recognizes the head-position sway value based on the first measurement value and the second measurement value.

Methods, systems and computer readable media for computerized prediction of body parameters such as body fat percentage (BFP) and modeling of a subject (e.g., a human body) are described.

Provided is an apparatus configured to estimate bio-information, the apparatus including a pulse wave sensor including a plurality of channels disposed in an isotropic shape, a force sensor configured to measure a force applied by an object to the pulse wave sensor, and a processor configured to detect a center of gravity based on pressure, applied by the object, in a space formed by the plurality of channels based on pulse wave signals measured by each of the plurality of channels included in the pulse wave sensor, provide a user with guide information with respect to contact of the object to the pulse wave sensor based on the detected center of gravity, and estimate bio-information based on the pulse wave signals and the force which are measured based on the guide information.