A 15-subject dataset and framework for PCG-based heart rate estimation via peak detection (correlations 0.955-0.973) and blood pressure via multiple regression (SBP correlation 0.89, DBP 0.70) with reported low errors.
Feature selection algorithms highlight the importance of the systolic segment for normal/murmur pcg beat classification
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Comprehensive Dataset and Signal Processing Framework for Phonocardiogram-Based Heart Rate and Blood Pressure Estimation
A 15-subject dataset and framework for PCG-based heart rate estimation via peak detection (correlations 0.955-0.973) and blood pressure via multiple regression (SBP correlation 0.89, DBP 0.70) with reported low errors.