A determination device includes: a sway detector that detects sway of a person when the person moves; and a controller. The determination device performs spectrum analysis by resolving sway data outputted from the sway detector into frequency components. In a spectrum obtained from the spectrum analysis, a first peak, a second peak, and a third peak sequentially appear in order of increasing frequency. The controller determines a state of a body of the person based on the first peak, the second peak, and the third peak.

A method and apparatus for monitoring a subject's autoregulation function state is provided. The method includes: a) continuously sensing a tissue region of the subject with a tissue oximeter, the sensing producing first signals, and determining frequency domain tissue oxygen parameter values; b) continuously measuring a blood pressure level of the subject using a blood pressure sensing device, the measuring producing second signals, and determining frequency domain blood pressure values; c) determining a coherence value indicative of the subject's autoregulation state in each of a plurality of different frequency bands; and d) determining a peak coherence value indicative of the subject's autoregulation state based on the determined coherence value from each of the plurality of different frequency bands.

The present disclosure provides a microfluidic device and system for measuring a composite electropharyngeogram (EPG) signal from a pool of multiple nematodes, wherein the composite EPG signal is measured from the pool of nematodes present in a single recording channel connected to two or more integrated electrodes. The microfluidic device includes an inlet port and outlet port directly connected to a single recording channel and two or more electrodes directly connected to the recording channel. The recording channel is configured to hold 10 to 10,000 nematodes.

In some examples, a method includes receiving a signal indicative of a blood pressure of a patient and identifying at least one first portion of the signal comprising a first characteristic of the signal exceeding a first threshold. The method also includes identifying at least one first portion of the signal comprising a second characteristic of the signal exceeding a second threshold, the first characteristic being different than the second characteristic. The method further includes determining a filtered signal indicative of the blood pressure of the patient by excluding the at least one first portion and the at least one second portion from the signal. The method includes determining a set of mean arterial pressure values based on the filtered signal and determining an autoregulation status of the patient based on the set of mean arterial pressure values.

A coupled physiological signal measurement method, a coupled physiological signal measurement system and a graphic user interface are provided. The coupled physiological signal measurement method includes the following steps. An original myoelectric signal is captured. A capacitance value of a skin is obtained. The original myoelectric signal is compensated according to the capacitance value of the skin. The step of compensating the original myoelectric signal according to the capacitance value includes the following steps. The original myoelectric signal is decomposed to obtain several myoelectric sub-signals corresponding to several frequencies, wherein each myoelectric sub-signal has an amplitude variation. The amplitude variations of the myoelectric sub-signals are respectively adjusted according to the capacitance value of the skin. The adjusted myoelectric sub-signals are merged to obtain a compensated myoelectric signal.

The present invention relates to systems and methods to measure, compute, and predict blood pressure. More specifically, the invention generally relates to systems, methods, and process for predicting blood pressure from respiratory, circulatory, acoustic, hemodynamic, movement and blood flow characteristics and metrics.

A system for evaluating a status of a fistula of a subject includes a radio device that emits a carrier radio wave toward the fistula, and that receives a return wave signal formed through reflection of the carrier radio wave by the fistula, and an evaluating device that performs a time-frequency transform on a digitized detection signal related to the return wave signal to result in frequency spectrum information, that calculates a magnitude ratio based on the frequency spectrum information, that generates an evaluation result by using a machine learning model based on the magnitude ratio, and that outputs the evaluation result which indicates the status of the fistula.

A mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

An electronic device for providing biometric information is provided. The electronic device includes a sensor module, a memory, and a processor electrically connected to the sensor module and the memory. The processor obtains a biometric signal from the sensor module at a predetermined time interval, determines whether a user is in a first state on the basis of the obtained biometric signal, in case the user is in a first state, obtains a representative value for a respective of the at least one biometric signal, defines the obtained representative value for the respective of the at least one biometric signal as a candidate reference value for a corresponding biometric signal, determines a candidate reference value satisfying a predetermined condition as a first reference value for the corresponding biometric signal, and updates a second reference value previously configured for the corresponding biometric signal on the basis of the first reference value.

A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.