Wearable devices are currently employed in several application fields, especially in the healthcare context, thanks to the advent of IoT technology in the global market. However, there are few studies focused on the reliability of collected data depending on the best wearing conditions, e.g. the band tightness in the case of wrist-worn devices, necessary to optimise the quality of the measured data. The aim of this study is to evaluate the variability of heart rate (HR) and tightening force data measured with a Do-It-Yourself (DIY) wrist-worn device, considering three different band tightening levels: loose, medium and tight. Results show that the increasing tightening levels produce an increasing tightening force, as expected; interestingly, the coefficient of variation is minimum (i.e., 0.16%) when the band tightening level is medium.

DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels

Cosoli G.
;
Scalise L.
2022-01-01

Abstract

Wearable devices are currently employed in several application fields, especially in the healthcare context, thanks to the advent of IoT technology in the global market. However, there are few studies focused on the reliability of collected data depending on the best wearing conditions, e.g. the band tightness in the case of wrist-worn devices, necessary to optimise the quality of the measured data. The aim of this study is to evaluate the variability of heart rate (HR) and tightening force data measured with a Do-It-Yourself (DIY) wrist-worn device, considering three different band tightening levels: loose, medium and tight. Results show that the increasing tightening levels produce an increasing tightening force, as expected; interestingly, the coefficient of variation is minimum (i.e., 0.16%) when the band tightening level is medium.
2022
Inglese
Springer
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ELETTRONICO
432
8th EAI International Conference on IoT Technologies for Health-Care, HealthyIoT 2021
214
229
16
978-3-030-99196-8
https://link.springer.com/chapter/10.1007/978-3-030-99197-5_17
Springer Science and Business Media Deutschland GmbH
Esperti anonimi
2021
Online
Internazionale
Data variability, Health monitoring, Metrological characterization, Photoplethysmographic sensor, Reliability, Wearable device
no
none
Poli, A.; Cosoli, G.; Verdenelli, L.; Scardulla, F.; D'Acquisto, L.; Spinsante, S.; Scalise, L.
273
info:eu-repo/semantics/conferenceObject
7
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11389/59116
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