A new system and method is provided for improving the accuracy of pulse rate detection. Various aspects contribute to the greater accuracy, including but not limited to pre-processing of the camera output/input, extracting the pulsatile signal from the preprocessed camera signals, followed by post-filtering of the pulsatile signal. This improved information may then be used for such analysis as HRV determination, which is not possible with inaccurate methods for optical pulse rate detection.

Present invention provide a system and a method for recording, evaluating, screening and monitoring life style associated Non-communicable diseases related data of a subject via an Integrated Medical Device (IMD) in real time, and sharing the same on a server, either local or cloud based, for fast, active sharing of data by remote users anytime anywhere.

In a motion analysis apparatus 101, a data input unit 205 acquires a first imaging result and a second imaging result. in the motion analysis apparatus 101, a skeleton recognition unit 206 recognizes skeleton positions of a subject using the first imaging. result acquired by the data input unit 205, and recognizes skeleton positions of the subject using the second imaging result acquired by the data input unit 205. A motion period extraction unit 403 extracts a period from a start of a motion to an end of the motion as a range of data for comparing skeleton feature points recognized by the skeleton recognition unit 206. The similarity calculation unit 401 compares skeleton feature points recognized for an input from a depth camera with skeleton feature points recognized for an input from an RGB camera to calculate similarities, and outputs a determination result based on the similarities.

A non-contact facial blood pressure measurement method based on 3D CNN is disclosed, which belongs to the technical field of computer vision. The method includes the following steps. S110: collecting an actual face video sample and training a blood pressure prediction model based on face images using 3D CNN neural network. S120: obtaining a face video in real time through a HD camera. S130: recognizing face key points in the face video obtained in S120 through dlib face recognition model, selecting a face region of interest, and extracting face images from the region. S140: performing a wavelet transform operation on the face images extracted in S130 to remove noise. S150: inputting seven consecutive frames of the face images into the 3D CNN blood pressure prediction model trained in S110 to obtain a blood pressure value of the measured person. The disclosure realizes non-contact facial blood pressure measurement.

A respiratory status examination apparatus and method, and a sleep disorder control device and method are proposed. The apparatus may include at least one image capturing unit that is movably arranged to adjust a distance with respect to a subject and configured to obtain a thermal image by photographing the subject. The apparatus may also include a motion sensor unit configured to detect a motion of the subject to generate motion information, and a temperature information extracting unit configured to specify at least one examination region from the thermal image obtained by the image capturing unit and extract temperature information from the examination region. The apparatus may further include a respiratory status examining unit configured to determine a respiratory status of the subject based on the temperature information extracted by the temperature information extracting unit and the motion information generated by the motion sensor unit.

Calibration of a sensing device is provided. The sensing device includes a sensor configured to sense a condition. In the sensing device, a voltage-dividing resistance and a reference voltage of an analog-to-digital converter are set to configure a quantization range of the analog-to-digital converter given characteristics of the sensor. During calibration, a binary search is performed between lower and upper limits of the voltage-dividing resistance, which is a variable resistance, to find the resistance of the voltage-dividing resistance at which the sensing device is operated.

The present invention relates to a device, system and method for less obtrusively determining a tissue characteristic of a subject, the device comprises a first control unit (11) configured to control an electromechanical transducer (31) by a first control signal (21) to transfer mechanical waves varying in a frequency range or with varying frequency content to an exposed tissue area of the subject; a second control unit (12) configured to control an electromagnetic radiation emitter (32) by a second control signal (22) to emit electromagnetic radiation towards the exposed tissue area of the subject; a radiation signal input (13) configured to obtain a radiation signal (23) indicative of electromagnetic radiation reflected from the exposed tissue area of the subject; and a processor (14) configured to determine a tissue characteristic signal (24) indicative of a tissue characteristic of the exposed tissue area of the subject derived from a frequency response or a frequency transfer function obtained from the obtained radiation signal in said frequency range or for said varying frequency content.

In various embodiments, a method for determining a homogeneity of complexion is provided. The method may include provision of a digital image on which skin is portrayed and which is parameterized in a color space which is defined by a parameter set in which one of the parameters is a hue, identifying and/or defining at least one skin examination area in the transformed image, calculating a hue distribution in the at least one skin examination area, and determining at least one homogeneity value for the complexion based on the calculated hue distribution.

Fourier Transformation Spectrometer, FT Spectrometer, comprising: Michelson-Type Interferometer (601, 602, 603, 604, 605, 606, 607, 608, 609) comprising: at least one beam splitter unit designed to split an incident light beam (EB) of a spatially expanded object into a first partial beam (TB1) and a second partial beam (TB2); and for at least partially overlaying the first partial beam (TB1) and the second partial beam (TB2) with a lateral shear (s); a first beam deflection unit designed to deflect the first partial beam (TB1) at least once; a second beam deflection unit designed to deflect the second partial beam (TB2) at least once; wherein at least one among the first beam deflection unit and the second beam deflection unit represents a (2n+1) periscope group with (2n+1) mirror surfaces, and all (2n+1) mirror surfaces are arranged vertically in relation to a common reference plane, in order to respectively deflect the first partial beam (TB1) and/or the second partial beam (TB2) (2n+1) times, and wherein the (2n+1)-fold deflection generates the lateral shear (s) between the first partial beam (TB1) and the second partial beam (TB2), and wherein n is a natural number ≥1.

A state assessment system, a diagnosis and treatment system and a method for operating the diagnosis and treatment system are disclosed. An oscillator model converts a physiological signal of a subject into a defined feature image. A classification model analyzes state information of the subject based on the feature image. An analysis model outputs a treatment suggestion for the subject based on the state information of the subject. An AR projection device projects acupoint positions of a human body onto the subject, for the subject to be treated based on the treatment suggestion.