A multichannel pressure sensing bed mattress sensor estimated heart beat intervals with a relative error of only 0.35% compared to electrocardiograph RR intervals.
Does FFT averaging of multichannel BCG signals from a bed mattress sensor accurately estimate heart beat intervals compared to ECG in normal subjects?
FFT averaging of multichannel BCG signals from a bed mattress sensor provides highly accurate heart beat interval estimation compared to ECG, which may be useful for sleep staging.
A multichannel pressure sensing Emfit foil was integrated to a bed mattress for measuring ballistocardiograph signals during sleep. We calculated the heart beat interval with cepstrum method, by applying FFT for short time windows including pair of consequent heart beats. We decreased the variance of FFT by averaging the multichannel data in the frequency domain. Relative error of our method in reference to electrocardiograph RR interval was only 0.35% for 15 night recordings with six normal subjects, when 12% of data was automatically removed due to movement artifacts. Background motivation for this work is given from the studies applying heart rate variability for the sleep staging.
Kortelainen et al. (Wed,) conducted a other in Normal subjects (n=6). Multichannel pressure sensing Emfit foil with FFT averaging vs. Electrocardiograph RR interval was evaluated on Relative error of heart beat interval estimation. A multichannel pressure sensing bed mattress sensor estimated heart beat intervals with a relative error of only 0.35% compared to electrocardiograph RR intervals.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: