Abstract: A heart rate detection method for calculating heart rate using heart sound from auscultation positions identified by a statistical approach utilizes a down-sampling and filtering process to acquire samples of heart sound from multiple auscultation positions of multiple testees and calculate heart rate with the samples, records time for calculating heart rate from each auscultation position of each testee and record the same from electrocardiogram, calculates a mean error and a standard deviation of the time to identify the auscultation positions allowing faster speed in heart rate detection, and applies a Bland-Altman difference plot and both a coefficient of determination and a Pearson's correlation coefficient to determine the degree of consistency and correlation of the heart rate measured from the multiple auscultation positions to identify the auscultation positions allowing generation of precise heart rate.

Abstract: A system for recognizing physiological sound comprises a receiving module, a feature extracting module, a classifier, and a comparing module. A method for recognizing physiological sound comprises receiving a physiological sound by the receiving module; extracting at least one feature from the physiological sound by the feature extraction module; classifying the at least one feature to identify at least one category by a classifier; and comparing the at least one category with a normal physiological sound and/or an abnormal physiological sound by the comparing module for evaluating a risk of disease. The method and system for recognizing physiological sound can precisely identify the specific physiological sound and exclude the noise.

Abstract: A heart rate detection method for calculating heart rate using heart sound from auscultation positions identified by a statistical approach utilizes a down-sampling and filtering process to acquire samples of heart sound from multiple auscultation positions of multiple testees and calculate heart rate with the samples, records time for calculating heart rate from each auscultation position of each testee and record the same from electrocardiogram, calculates a mean error and a standard deviation of the time to identify the auscultation positions allowing faster speed in heart rate detection, and applies a Bland-Altman difference plot and both a coefficient of determination and a Pearson's correlation coefficient to determine the degree of consistency and correlation of the heart rate measured from the multiple auscultation positions to identify the auscultation positions allowing generation of precise heart rate.

Abstract: A system for recognizing physiological sound comprises a receiving module, a feature extracting module, a classifier, and a comparing module. A method for recognizing physiological sound comprises receiving a physiological sound by the receiving module; extracting at least one feature from the physiological sound by the feature extraction module; classifying the at least one feature to identify at least one category by a classifier; and comparing the at least one category with a normal physiological sound and/or an abnormal physiological sound by the comparing module for evaluating a risk of disease. The method and system for recognizing physiological sound can precisely identify the specific physiological sound and exclude the noise.