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.

Poli, A., Cosoli, G., Verdenelli, L., Scardulla, F., D'Acquisto, L., Spinsante, S., et al. (2022). DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels. In IoT Technologies for Health Care (pp. 214-229). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-99197-5_17].

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

Scardulla F.;D'Acquisto L.;
2022-03-23

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.
No
Pubblicato
23-mar-2022
Data variability
Health monitoring
Metrological characterization
Photoplethysmographic sensor
Reliability
Wearable device
English
8th EAI International Conference on IoT Technologies for Health-Care, HealthyIoT 2021
2021
IoT Technologies for Health Care
978-3-030-99196-8
978-3-030-99197-5
Springer Science and Business Media Deutschland GmbH
432
214
229
16
Esperti anonimi
Rilevanza internazionale
Poli, A., Cosoli, G., Verdenelli, L., Scardulla, F., D'Acquisto, L., Spinsante, S., et al. (2022). DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels. In IoT Technologies for Health Care (pp. 214-229). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-99197-5_17].
Contributo in Atti di convegno
02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume
273
info:eu-repo/semantics/bookPart
reserved
7
Poli, A.; Cosoli, G.; Verdenelli, L.; Scardulla, F.; D'Acquisto, L.; Spinsante, S.; Scalise, L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/692932
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