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Authors: Bertrand Massot 1 ; Tanguy Risset 2 ; Gregory Michelet 1 and Eric McAdams 3

Affiliations: 1 CNRS - INSA Lyon and University of Lyon, France ; 2 INRIA - INSA Lyon, France ; 3 INSA Lyon and University of Lyon, France

ISBN: 978-989-758-170-0

Keyword(s): Wearable Sensors, Heart Rate, Heart Rate Variability, Biomedical Signal Processing, Body Sensors Network.

Abstract: This paper presents the implementation of a combination of hardware and software signal processing methods on a wearable device for the continuous and long-term monitoring and analysis of cardiac activity during insitu experiments. Heart rate assessment and heart rate variability parameters are computed in real-time directly on the sensor, thus only few parameters are sent via wireless communication for power saving. Hardware method for heart rate measurement, and software methods for the calculation of time-domain and frequency-domain parameters of heart rate variability are described, and preliminary tests for the evaluation of the sensor are presented.

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Paper citation in several formats:
Massot, B.; Risset, T.; Michelet, G. and McAdams , E. (2016). Mixed Hardware and Software Embedded Signal Processing Methods for in-situ Analysis of Cardiac Activity.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 303-310. DOI: 10.5220/0005843703030310

@conference{smart-biodev16,
author={Bertrand Massot. and Tanguy Risset. and Gregory Michelet. and Eric McAdams .},
title={Mixed Hardware and Software Embedded Signal Processing Methods for in-situ Analysis of Cardiac Activity},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV, (BIOSTEC 2016)},
year={2016},
pages={303-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005843703030310},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV, (BIOSTEC 2016)
TI - Mixed Hardware and Software Embedded Signal Processing Methods for in-situ Analysis of Cardiac Activity
SN - 978-989-758-170-0
AU - Massot, B.
AU - Risset, T.
AU - Michelet, G.
AU - McAdams , E.
PY - 2016
SP - 303
EP - 310
DO - 10.5220/0005843703030310

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