A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

A wearable sweat sensor for detecting one or more analytes in human sweat comprises an optical module comprising at least one light source and at least one light detector; at least one sensor layer optically coupled to the optical module and having optical absorbance properties that are dependent on the concentration of a target analyte of said one or more analytes; and one or more processors in communication with the optical module. The one or more processors are configured to: cause light from the at least one light source to be transmitted towards, and/or through, the at least one sensor layer; obtain, from the at least one light detector, one or more optical signals reflected and/or transmitted from the at least one sensor layer; and determine, from at least one wavelength component of the one or more optical signals, a target analyte concentration.

The present invention relates to a method and system for estimating blood pressure of a subject. In particular, but not exclusively, the method involves receiving a photoplethysmogram (PPG) signal from a light-based Pulse-Plethysmography sensor applied to the skin of a subject and reconstructing a pulse blood pressure waveform between systolic and diastolic blood pressure of the subject. Additionally, but not exclusively, the method involves processing the pulse blood pressure waveform and reconstructing an absolute blood pressure waveform of the subject.

A healthcare apparatus includes a ballistocardiogram (BCG) sensor configured to sense a ballistocardiogram signal of a subject, a camera configured to acquire a color facial image, and a processor configured to detect a region of interest (ROI) from the color facial image, to detect a first color image of a forehead area to acquire a first black and white image, to detect a second color image of a cheek area to acquire a second black and white image, to apply the first and second black and white images to a predetermined trained algorithm model to output a remote photoplethysmography (rPPG) signal waveform of the subject, to calculate a first heart rate from the BCG signal waveform, to calculate a second heart rate from the remote PPG signal waveform, and to output a heart rate of the subject based on the first heart rate and the second heart rate.

A detection device includes an annular substrate, optical sensors annularly arranged along the substrate, and a plurality of light sources annularly arranged correspondingly to the arrangement of the optical sensors.

Various examples are described for detecting heart rate and respiratory rate by using measurements of light applied to skin through an article. For example, a sensor application obtains a set of measurements of light. The application compensates for a contribution of the article based on one or more known optical properties of the article. The sensor application further determines, from the set of measurements of light, a periodic change in amplitude. The sensor application identifies the periodic change in amplitude as a heart rate having an identical periodicity. The sensor application identifies a respiratory rate as equal to the rate of change of the heart rate.

A smart watch and a method for measuring a pulse information are provided in the present disclosure. The smart watch includes a dial, a watchband, a blood vessel information collecting apparatus, and a processing apparatus. The watchband is connected with the dial. The blood vessel information collecting apparatus is disposed in the watchband and is configured to collect a blood vessel information from an inner side of a wrist of a user. The processing apparatus is connected with the blood vessel information collecting apparatus and is configured to receive and process the blood vessel information to obtain the pulse information of the user.

We disclose an improvement for oximeters, which makes oximeters more reliable when making measurements on patients of darker skin complexion. The device of our invention discloses a re-entrant cavity, inside which some of the tissues of the patient are forced into, by pressing the device of our invention against the skin of the patient. The probing electromagnetic radiation beams (typically deep red and infra-red radiation) are directed to propagate through said re-entrant cavity, inside which some of the outer tissues of the patient are forced, along a path that is approximately parallel to, and just under, the skin of the patient. This probed volume inside said re-entrant cavity contains more arterial and less venous blood, when compared with measurements made by perpendicular beams, that penetrate deep under the skin, which causes that the measurements made by our device are more accurate than many existing oximeters.

Methods and systems are provided for a light-emitting diode (LED) drive circuit of an optical probe. As an example, a method for an optical probe including an LED in an LED drive circuit comprises reducing power consumption of the LED drive circuit by adjusting a drive voltage of the LED drive circuit based on one or more LED drive circuit characteristics and one or more LED drive circuit operating parameters. In this way, the LED drive circuit may be efficiently operated.

The present invention discloses a heart rate estimation method and apparatus, and an electronic device applying same. The heart rate estimation method includes: acquiring a face video; performing face detection on the face video to extract a local face area that is set as heart rate estimation; performing first processing on values of pixel points in the local face area to obtain an initial heart rate signal; performing time-frequency domain conversion on the initial heart rate signal to obtain a frequency domain signal; and performing second processing on the frequency domain signal within a heart rate estimation range to obtain a heart rate estimation value.