The present disclosure pertains to a system for delivering sensory stimulation to a subject, the system comprising: sensors configured to generate output signals indicating physiological parameters of a subject; a sensory stimulator configured to deliver sensory stimulation to the subject; and processors configured to: determine one or more physiological parameters of the subject; determine a target physiological parameter based on the on the determined one or more physiological parameters; determine one or more stimulation parameters of sensory stimulation to be delivered to the subject based on the target physiological parameter and the determined one or more physiological parameters; and cause the sensory stimulator to deliver the sensory stimulation to the subject based on the determined one or more stimulation parameters.

An exercise intensity estimation apparatus includes an RS wave calculation unit configured to calculate an RS amplitude from a peak value of an R wave to a peak value of an S wave in an ECG waveform of a target person, a T wave calculation unit configured to calculate an amplitude of a T wave of the ECG waveform, a heart rate calculation unit configured to calculate a heart rate from the ECG waveform, an index calculation unit configured to calculate, as a first index indicating exercise intensity of the target person, the amplitude of the T wave normalized by the RS amplitude, and an index calculation unit configured to calculate, as a second index indicating the exercise intensity of the target person, a value obtained by multiplying the first index by the heart rate.

A method includes a first acquisition step of acquiring a heart rate of a target person who does exercise, a second acquisition step of acquiring an electrocardiographic waveform of the target person who does the exercise, a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveform, and an estimation step of estimating a maximum heart rate of the target person based on a relationship between the predetermined feature amount and the acquired heart rate. In the estimation step, the maximum heart rate of the target person is estimated based on a heart rate corresponding to an inflection point in a change of the predetermined feature amount with respect to the acquired heart rate.

Disclosed is an electronic device comprising a processor and at least one sensor circuit comprising at least a biometric sensor and a fatigue sensor. The processor may be configured so as to detect biometric data of an external object by means of the biometric sensor, detect fatigue data of the external object by means of the fatigue sensor if the biometric data exceeds a designated second range, and output, by means of a designated external device, a fatigue notification indicating a fatigued state if the fatigue data exceeds a designated third range. Other various embodiments identified in the description are possible.

A wearable monitoring device comprising a printed circuit board having a first side and a second side opposite the first side, wherein the printed circuit board is configured to couple to at least one sensor configured to monitor a physiological condition; at least a first padding layer coupled to the printed circuit board proximate the first side; at least a second padding layer coupled to the printed circuit board proximate the second side; a first protective layer coupled to the first padding layer opposite the printed circuit board; a second protective layer coupled to the second padding layer opposite the printed circuit board; at least one additional layer between the first protective layer opposite the printed circuit board; the first protective layer and the second protective layer seal together and enclose the first and second padding and the printed circuit board; and a power source coupled to the printed circuit board.

If a job is accepted in the middle of cardiac potential measurement in a state where acquisition of data for stress measurement corresponding to cycles necessary for stress measurement has not been completed, the state of progress of stress measurement is compared with the acceptance timing of the job, and with respect to acceptance of a job for which a time from the acceptance timing of the job to completion of stress measurement on a current measurement object cycle does not exceed a pre-set first setting value, the job is executed after completion of stress measurement in the current measurement cycle, and with respect to acceptance of a job for which a time from the acceptance timing of the job to completion of stress measurement exceeds the first setting value, stress measurement is interrupted and the job is preferentially executed and stress measurement is restarted.

An apparatus for classifying stress includes an electrocardiogram (ECG) measurement module configured to measure an ECG signal in a first state, an idle state, and an ECG signal in a second state in which noise, having various magnitudes, is generated, a feature point extraction module configured to extract a feature point of each of the measured ECG signal in the first state and the measured ECG signal in the second state, and a clustering module configured to perform K-means clustering on the ECG signals in the first and second states based on the extracted feature points to classify stress.

An apparatus for classifying stress includes an electrocardiogram (ECG) measurement module configured to measure an ECG signal in a first state, an idle state, and an ECG signal in a second state in which noise, having various magnitudes, is generated, a feature point extraction module configured to extract a feature point of each of the measured ECG signal in the first state and the measured ECG signal in the second state, and a clustering module configured to perform K-means clustering on the ECG signals in the first and second states based on the extracted feature points to classify stress.

Methods of treating a valvular heart disease are provided. Methods for treating valvular heard disease include administering to a subject a therapeutically effective amount of at least one hedgehog pathway inhibitor. Also provided are methods for reducing fibrosis in a subject, which comprise administering to the subject a therapeutically effective amount of at least one hedgehog pathway inhibitor.

The present disclosure pertains to a system for delivering sensory stimulation to a subject, the system comprising: sensors configured to generate output signals indicating physiological parameters of a subject; a sensory stimulator configured to deliver sensory stimulation to the subject; and processors configured to: determine one or more physiological parameters of the subject; determine a target physiological parameter based on the determined one or more physiological parameters; determine one or more stimulation parameters of sensory stimulation to be delivered to the subject based on the target physiological parameter and the determined one or more physiological parameters; and cause the sensory stimulator to deliver the sensory stimulation to the subject based on the determined one or more stimulation parameters.