A blood pressure measurement method of acquiring a change in a blood pressure with respect to time includes a pulse wave acquisition step of acquiring a time waveform based on a volume pulse wave, a DN point detection step of detecting a DN point, which corresponds to a dicrotic notch point in a blood pressure waveform indicating the change in the blood pressure with respect to time, in the time waveform, and a waveform correction step of correcting the time waveform so that a time waveform value at the DN point becomes a predetermined blood pressure value and acquiring the change in the blood pressure with respect to time.

A computer-implemented method for gait analysis of a subject includes obtaining visual data from an image capture device positioned in front of or behind the subject, the visual data comprising at least two image frames of the subject over a period of time walking toward or away from the image capture device, the at least two image frames capturing at least a portion of the gait of the subject, detecting within the at least two images body parts as two-dimensional landmarks using a pose estimation algorithm on each of the at least two frames, generating a joint model depicting the location of the at least one joint in each of the at least two frames, using the joint model to segment a gait cycle for the at least one joint, and comparing the gait cycle to a threshold value to detect abnormal gait.

A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological parameters.

A system and method for monitoring a patient suspected of experiencing a state of unconsciousness are provided. In certain aspects, the method includes assembling physiological data, obtained from a plurality of sensors placed on a subject, into sets of time-series data, separating, from the sets of time-series data, a plurality of electroencephalogram signals, and determining, from the plurality of electroencephalogram signals, at least one of frequency information and amplitude information. The method can also include identifying, using the at least one of the frequency information and the amplitude information, spatiotemporal signatures indicative of a likelihood of arousing the patient to consciousness by applying an external stimulus and generating a report indicating the likelihood of arousing the patient to consciousness by applying the external stimulus.

A method and apparatus for processing a biosignal is disclosed. The apparatus may extract reference points from a waveform of a biosignal, determine a pulse direction of the biosignal based on the extracted reference points, and determine a feature point of the biosignal based on a feature point determining method corresponding to the determined pulse direction of the biosignal.

The present disclosure relates to a method, an apparatus and a computer program for noninvasively determining a cause of a blood pressure change. The method includes at least: obtaining maximum amplitudes of heart sounds; monitoring changes in the maximum amplitudes; estimating change amounts of indexes on a myocardial contractile force and on vascular resistance, based on increasing or decreasing of a blood pressure of the patient, and the changes in the maximum amplitudes; and determining the cause of the blood pressure change of the patient as an effect of at least one of alpha action, alpha blockage, beta action and beta blockage, based on results of the estimation of the first change amount of the first index, the second change amount of the second index and the third change amount of the third index.

Provided are a method and an apparatus for assessing a degree of alignment between circadian rhythm and life activity rhythm. The method involves sensing a biosignal of a user, deriving a circadian rhythm of the user based on a biosignal change pattern for the biosignal, and calculating a degree of alignment between the circadian rhythm and a life activity rhythm of the user.

A method of controlling a device located in a predetermined space includes: obtaining sleep information of a person present in a first space from a biological sensor disposed in the first space, the sleep information indicating a sleep state of the person and the first space includes a first device; determining, by a processor, a first sound volume to be set for the first device based on a first database indicating a correspondence between the sleep state and a target sound volume of a corresponding device, the target sound volume of the corresponding device being a predetermined sound volume which does not awake a sleeping person at the sleep state and still be heard by an awake person; and transmitting, to the first device, a first command for setting the first sound volume in the first device as a sound volume upper-limit value.

A device for detecting acute coronary syndrome (ACS) events, arrythmias, heart rate abnormalities, medication problems such as non-compliance or ineffective amount or type of medication, and demand/supply related cardiac ischemia is disclosed. The device may have both implanted and external components and can communicate with other user devices such as smartphones and smartwatches for monitoring and alerting in response to detected medically relevant events or states of a patient. The processor is configured to provide event detection based upon various criteria including what is found to be statistically abnormal for a patient or what has been defined by a doctor to be abnormal. A patient's cardiovascular condition can be tracked over time using histogram, trend, and summary information related to heart rate and/or cardiac features such as those measured from the S-T segment of heartbeats. Heartbeats that are elevated but which are below what is defined as high, are used to provide medically relevant detections.

Systems, interfaces, and methods are described herein related to the evaluation of a patient's cardiac conduction system and evaluation of cardiac conduction system pacing therapy being delivered to the patient's cardiac conduction system. Evaluation of the patient's cardiac conduction system may utilize a plurality of breakthrough maps to determine where a cardiac conduction system block may be located. Evaluation of cardiac conduction system pacing therapy may utilize various electrical heterogeneity information monitored before and during delivery of cardiac conduction system pacing therapy.