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Authors: Sara Casaccia ; Filippo Pietroni ; Andrea Calvaresi ; Gian Marco Revel and Lorenzo Scalise

Affiliation: Università Politecnica delle Marche, Italy

ISBN: 978-989-758-170-0

Keyword(s): Physiological Parameters, Heart Rate, Breathing Rate, Wearable Sensor, Signal Processing.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Health Information Systems ; Human-Computer Interaction ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: Nowadays, the monitoring of users’ health status is possible by means of smart sensing devices at low-cost and with high measuring capabilities. Wearable devices are able to acquire multiple physiological and physical waveforms and are equipped with on-board algorithms to process these signals and extract the required quantities. However, the performance of such processing techniques should be evaluated and compared to different approaches, e.g. processing of the raw waveforms acquired. In this paper, the authors have performed a metrological characterization of a commercial wearable monitoring device for the continuous acquisition of physiological quantities (e.g. Heart Rate - HR and Breathing Rate - BR) and raw waveforms (e.g. Electrocardiogram - ECG). The aim of this work is to compare the performance of the on-board processing algorithms for the calculation of HR and BR with a novel approach applied to the raw signals. Results show that the HR values provided by the device are acc urate enough (±2.1 and ±2.8 bpm in static and dynamic tests), without the need of additional processing. On the contrary, the implementation of the dedicated processing technique for breathing waveform allows to compute accurate BR values (±2.1 bpm with respect to standard equipment). (More)

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Paper citation in several formats:
Casaccia, S.; Pietroni, F.; Calvaresi, A.; Revel, G. and Scalise, L. (2016). Smart Monitoring of User’s Health at Home: Performance Evaluation and Signal Processing of a Wearable Sensor for the Measurement of Heart Rate and Breathing Rate.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 175-182. DOI: 10.5220/0005694901750182

@conference{biosignals16,
author={Sara Casaccia. and Filippo Pietroni. and Andrea Calvaresi. and Gian Marco Revel. and Lorenzo Scalise.},
title={Smart Monitoring of User’s Health at Home: Performance Evaluation and Signal Processing of a Wearable Sensor for the Measurement of Heart Rate and Breathing Rate},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005694901750182},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Smart Monitoring of User’s Health at Home: Performance Evaluation and Signal Processing of a Wearable Sensor for the Measurement of Heart Rate and Breathing Rate
SN - 978-989-758-170-0
AU - Casaccia, S.
AU - Pietroni, F.
AU - Calvaresi, A.
AU - Revel, G.
AU - Scalise, L.
PY - 2016
SP - 175
EP - 182
DO - 10.5220/0005694901750182

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