A system and method for health diagnostics and more specifically to an image-capture based system and method for detecting physiological state for a subject. The system provides a remote and non-invasive approach by which to detect physiological state with a high confidence. The system enables monitoring of hemoglobin concentration changes by optical imaging and related detection systems.

The present invention provides a non-invasive portable device and method for diagnosing an occlusion in coronary arteries of a patient. The diagnostic system includes a signal processor configured to receive signals from a group of acoustic sensors attached to the torso of a patient. The diagnostic device is configured with a processor to receive and generate an output on a display using a high end algorithm.

This disclosure relates generally to patient invariant model for freezing of gait detection based on empirical wavelet decomposition. The method receives a motion data from an accelerometer sensor coupled to an ankle of a subject. The motion data is further processed to denoise a plurality of data windows using a peak detection technique to classify into a real motion data window or a noisy data window. Further, a plurality of denoised data windows are generated by processing spectrums associated with each real motion data window and a plurality of empirical modes using an empirical wavelet decomposition technique (EWT). Then, a resultant acceleration is computed, and a plurality of features are extracted from the denoised data window which enables detection of freezing of gait based on a pretrained classifier model into a (i) a positive class, or (ii) a negative class.

A pulse wave analysis device includes a pulse wave acquisition unit, a venous pressure calculation unit, a parameter calculation unit, and an output. The pulse wave acquisition unit acquires a pulse wave of a living body. The venous pressure calculation unit calculates a venous pressure based on a waveform of the pulse wave in a predetermined period. The parameter calculation unit analyzes the waveform in the predetermined period and calculates at least one vital parameter for the living body. The output outputs a calculated venous pressure, a calculated vital parameter, and/or information on accuracy of the venous pressure based on the vital parameter.

Provided are a wearable device, as well as a heart rate tracking method and a heart rate tracking apparatus thereof. The method includes obtaining a photo pethysmo graphic (PPG) signal of the wearable device within a preset time, obtaining a frequency spectrum corresponding to the PPG signal by a short-time Fourier transformation of the PPG signal, generating a curve cluster according to the frequency spectrum, and in response to determining a curve that meets a preset condition in the curve cluster, acquiring a jumped heart rate according to the curve that meets the preset condition to track the heart rate.

An apparatus for monitoring a patient post operation having electrically conducting leads which are adapted to extend from inside the patient. The leads having electrodes adapted to communicate with a heart of the patient and apply electrical signals to the heart. The electrodes providing cardiac signals to the computer in response to the electrical signals so the computer can determine in real time at least one of heart volume, end diastolic heart volume, end systolic heart volume, stroke volume, change in heart volume, change in stroke volume, contractility, respiration rate or tidal volume regarding the patient.

According to one embodiment, a medical information processing apparatus has processing circuitry. The processing circuitry acquires medical data on a subject, acquires numerical data obtained by digitizing an acquisition condition of the medical data, and applies a machine learning model to input data including the numerical data and the medical data, thereby generating output data based on the medical data.

According to an aspect of the invention there is provided a system for use in monitoring one or more physiological states of a user, the system comprising one or more processors configured to: receive a pressure signal representing pressure within a cushioning layer supporting at least a portion of a user and an acoustic signal representing acoustic vibrations within the cushioning layer; and determine, based on the pressure signal and acoustic signal, the one or more physiological states of the user.

Provided is a configuration capable of executing a detection test for a comfort level including the quality of sleep, which is measurable at home without requiring the measurement of brain waves or electrocardiogram. The respiratory waveform of a subject during sleep is continuously measured and recorded from the respiratory gas flow, etc., and is window-Fourier transformed at each measurement time to generate a frequency spectrum, and a bandwidth including a respiratory frequency is extracted. The index indicating the regularity of the respiratory period of the subject is also calculated at each time point during the sleep, and the time-dependency of this index during the sleep is represented as a graph. A medical device includes a sleep evaluation system equipped with a control means for performing control so that a sleep cycle repeated at a cycle of about 90 minutes is clearly observed if the comfort level including the quality of sleep of the subject is favorable.

An ambulatory medical device including a plurality of sensing electrodes and one or more processors operably coupled to the plurality of sensing electrodes is provided. Each sensing electrodes is configured to be coupled eternally to a patient and to detect one or more ECG signals. The one or more processors are configured to receive at least one electrode-specific digital signal for each of the plurality of sensing electrodes, determine a noise component for each of the electrode-specific digital signals, analyze each of the noise components for each of the plurality of sensing electrodes, generate electrode matching information for each sensing electrode of the plurality of sensing electrodes based upon analysis of each of the noise components, determine one or more sensing electrode pairs based upon the electrode matching information, and monitor each of the one or more sensing electrode pairs for ECG activity of the patient.