DocumentCode
1858264
Title
FFT averaging of multichannel BCG signals from bed mattress sensor to improve estimation of heart beat interval
Author
Kortelainen, J.M. ; Virkkala, J.
Author_Institution
VTT Tech. Res. Center of Finland, Tampere
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
6685
Lastpage
6688
Abstract
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.
Keywords
biomedical measurement; cardiology; cepstral analysis; fast Fourier transforms; frequency-domain analysis; medical signal detection; medical signal processing; pressure sensors; sleep; FFT averaging method; ballistocardiograph signal measurement; bed mattress sensor; cepstrum method; frequency domain analysis; heart beat interval estimation; movement artifacts; multichannel BCG signals; multichannel pressure sensing Emfit foil; relative error; sleep state; Capacitive sensors; Electrocardiography; Electrodes; Frequency; Heart beat; Heart rate; Heart rate variability; Pressure measurement; Rail to rail inputs; Sleep; Algorithms; Ballistocardiography; Beds; Heart Rate; Humans; Male; Monitoring, Physiologic; Signal Processing, Computer-Assisted; Sleep;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4353894
Filename
4353894
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