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Authors: Terukazu Akiyama ; Tatsuya Miyazaki ; Hiroki Ito ; Hirofumi Nogami and Renshi Sawada

Affiliation: Kyushu University, Japan

ISBN: 978-989-758-069-7

Keyword(s): MEMS Blood Flowmeter, Heart Rate Variability, Autonomic Nervous System.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Devices ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: We investigated the possibility of applying a MEMS blood flowmeter to heart rate variability (HRV) analysis. We conducted simultaneous measurements of HRV by electrocardiogram and MEMS blood flowmeter. TPP for the MEMS blood flowmeter was defined as the interval between peaks, which were designated as where the first-order differential of the signal changes from negative to positive. TRR (i.e., the R-R interval of the electrocardiogram) and TPP were compared by regression analysis. Autonomic indices transformed by power spectrum analysis were also compared by regression analysis. Fast Fourier transform (FFT) and maximum entropy method (MEM) were employed in the frequency analysis. By FFT analysis, the coefficient of determination for the regression between LF%, HF%, and LF/HF derived by TRR versus TPP was 0.8781, 0.8781, and 0.8946, respectively. By MEM analysis, the coefficient of determination for the regression between LF%, HF%, and LF/HF derived by TRR versus TPP was 0.9649, 0.802 6, and 0.9181, respectively. These high correlations suggest that the TPP of the MEMS blood flowmeter is a reliable metric that can be utilized in applications of HRV analysis. (More)

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Paper citation in several formats:
Akiyama, T.; Miyazaki, T.; Ito, H.; Nogami, H. and Sawada, R. (2015). Application of a MEMS Blood Flowmeter for Power Spectrum Analysis of Heart Rate Variability.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 211-218. DOI: 10.5220/0005213302110218

@conference{biosignals15,
author={Terukazu Akiyama. and Tatsuya Miyazaki. and Hiroki Ito. and Hirofumi Nogami. and Renshi Sawada.},
title={Application of a MEMS Blood Flowmeter for Power Spectrum Analysis of Heart Rate Variability},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={211-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005213302110218},
isbn={978-989-758-069-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Application of a MEMS Blood Flowmeter for Power Spectrum Analysis of Heart Rate Variability
SN - 978-989-758-069-7
AU - Akiyama, T.
AU - Miyazaki, T.
AU - Ito, H.
AU - Nogami, H.
AU - Sawada, R.
PY - 2015
SP - 211
EP - 218
DO - 10.5220/0005213302110218

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