TIME-FREQUENCY ANALYSIS OF HEART RATE VARIABILITY USING PHYSIOLOGICAL SIGNAL
Abstract
Heart rate variability is a phenomenon which reflects an influence of autonomic nervous system through the changes in the range of RR interval in the heart rate during the normal activities. The objective of this study is to measure the changes in heart rate and heart rate variability for the Indian subjects and this study is mainly concentrated on the south Indian subjects as India being the country of diversity. This study is based on the LF and HF ratio of the HRV and analyzed using the physiological signal by giving the audio stimuli. Folk song and the melody song are the two different Indian music stimuli given to the subjects during the study. The stimuli given were controlled stimuli with the same decibel level for both the melody and the folk song. The ultimate hypothesis of this study is to determine the changes in the heart rate and heart rate variability while listening to the folk and melody of Indian music.
Introduction Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval. In healthy subjects, the ratio between the low and high
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ECG signals were recorded using RMS ECG-32 Super Spec (RMS, India) with a sampling frequency of 256 Hz/channel. Raw ECG signals were filtered using a low- and high-pass filter with cut-off frequencies of 0.003 to 0.4 Hz. The power line interference noise (50 Hz) was eliminated using a notch filter. Muscle artifacts were removed by selecting the EMG filter (cutoff 70 Hz). Acquired ECG signals were stored in the computer, and an offline analysis was performed. The time base and sensitivity of the recording device for registering the ECG were kept at 30 mm/s and 7.5