A computer generates an accident risk definition model to estimate a probability of hazard occurrence as an accident risk by inputting first in-vehicle sensor data collected in the past and hazard occurrence data having information on hazard occurrence from the first in-vehicle sensor data preset therein, generates accident risk estimation data by inputting second in-vehicle sensor data collected in the past to the accident risk definition model and estimating the probability of the hazard occurrence, generates an accident risk prediction model to predict the accident risk after a predetermined time by inputting first biological index data corresponding to the second in-vehicle sensor data and the accident risk estimation data, calculates second biological index data from second biological sensor data by acquiring the second biological sensor data of a driver, and predicts the accident risk after the predetermined time by inputting second biological index data to the accident risk prediction model.

A method for estimating a metabolic rate of a user includes obtaining pulse oximetry data for the user for a period of time. The method includes determining a rate of decline in oxygen saturation of blood of the user that is associated with a breathing rate of the user for the period of time based, at least in part, on the pulse oximetry data. The method includes estimating the metabolic rate of the user for the period of time based, at least in part, on the rate of decline in the oxygen saturation of the blood that is associated with the breathing rate of the user. The method includes providing a notification indicative of the metabolic rate for the period of time.

Systems and methods for quantifying the duration of S1 and/or S2 heart sounds, in order to identify markers of heart failure and/or lung failure, are provided. Cardiac cycles containing S1 and S2 sound can be identified in a phonocardiogram and normalized. In order to quantify S1 and S2 sound length, the envelope of the absolute value of the signal can be obtained for each cycle. The sound waves of two components can be separated using the identified single sound wave. These features can be correlated to measures of heart failure and/or lung failure.

Methods and systems for electrical stimulation can include obtaining a biosignal of the patient; altering at least one stimulation parameter of an electrical stimulation system in response to the biosignal; and delivering an electrical stimulation current to one or more selected electrodes of the electrical stimulation system using the at least one stimulation parameter. In some embodiments, a power spectrum is determined from the biosignal. In some embodiments, the biosignal is at least two different biosignals measured at the same or different locations on the patient and a coherence, correlation, or association between the two biosignal is determined.

A physiological information processing apparatus includes a processor and a memory storing computer-readable instructions. When the instructions are executed by the processor, the physiological information processing apparatus obtains physiological information data indicative of physiological information of a subject, obtains a first parameter associated with a vital sign of the subject based on the physiological information data, displays a first trend graph showing temporal change in the first parameter in a first display area of a display screen of a display, obtains a second parameter associated with an autonomic nerve function of the subject based on the physiological information data, and displays a second trend graph showing temporal change in the second parameter in a second display area of the display screen. The first and second display areas are displayed next to each other such that time axes of the first and second display areas are synchronized with each other.

The present specification relates to Master-Slave (MS) interferometry for sensing the axial position of an object subject to optical coherence tomography (OCT) imaging, and to MS-OCT applied to curved and axially moving objects. The methods and apparatuses allow producing OCT signals from selected depths within the object irrespective of its axial position in respect to the imaging system. Images are obtained for curved objects that are flattened along a layer of interest in the object, images that are used to provide OCT angiography images less disturbed by axial movement or lateral scanning.

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.

A method for predicting sleep apnea from neural networks that mainly includes the following steps: a) retrieving an original signal; b) retrieving at least one snoring signal from the original signal by a snoring signal segmentation algorithm and converting the snoring signal into one with one-dimensional vector; c) applying a feature extraction algorithm to process the snoring signal with one-dimensional vector and transform the snoring signal into a feature matrix of two-dimensional vectors; and d) classifying the feature matrix by a neural network algorithm to obtain the number of times of sleep apnea and sleep hypopnea from the snoring signal. The method thereby is able to decide whether the snoring signal has revealed indications of sleep apnea or sleep hypopnea or not.

The present disclosure is related to methods, systems and apparatus for performing electrophysiological measurements utilizing three or more electrodes attached to a patient. The system in various embodiments may include three or more electrodes attached to the patient and at least one analog-to-digital converter with external circuitry electrically coupled to the electrodes. The system may further include a microprocessor for driving the analog-to-digital conversion process, various inputs and variable frequency current outputs electrically coupled to the microprocessor for receiving signals from the electrodes and sending driven current signals to the electrodes.

An earphone includes a loudspeaker, a microphone, a housing supporting the loudspeaker and microphone, and ear tip surrounding the housing and configured to acoustically couple both the loudspeaker and the microphone to an ear canal of a user, and to acoustically close the entrance to the user's ear canal. A processor provides output audio signals to the loudspeaker, receives input audio signals from the microphone, extracts a rate of respiration from the input audio signals, adjusts the output audio signals based on the extracted rate of respiration, and provides the adjusted output audio signals to the loudspeaker.