Seismocardiography demonstrated a high linear relationship (r>0.98) and agreement with electrocardiography for estimating ultra-short term heart rate variability indices.
Observational (n=20)
Does seismocardiography accurately estimate ultra-short term heart rate variability compared to electrocardiography in healthy young volunteers?
Seismocardiography provides highly correlated estimates of ultra-short term heart rate variability compared to standard electrocardiography in healthy volunteers.
Effect estimate: r>0.98
Heart rate variability (HRV), the variation in the beat-to-beat heart rate, is a key indicator of the cardiovascular condition of an individual. The purpose of this study was to cross-validate the beat-by-beat time variations in seismocardiography (SCG) with electrocardiography (ECG) for determining ultra-short term HRV indices. Twenty healthy young volunteers were examined in this study by performing an ultra-short term data acquisition protocol. Kubios HRV software was utilized to assess the HRV parameters. The HRV indices were analyzed in both time-domain and frequency-domain processes. High linear relationship (r>0.98) and agreement was observed between the HRV indexes calculated from SCG and ECG data. In conclusion, SCG and ECG HRV indices were found to be statistically close enough to warrant the use of SCG for estimating HRV.
Tadi et al. (Fri,) conducted a observational in Healthy (n=20). Seismocardiography (SCG) vs. Electrocardiography (ECG) was evaluated on Agreement of ultra-short term HRV indices between SCG and ECG (r>0.98). Seismocardiography demonstrated a high linear relationship (r>0.98) and agreement with electrocardiography for estimating ultra-short term heart rate variability indices.