Research Article
DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels
@INPROCEEDINGS{10.1007/978-3-030-99197-5_17, author={Angelica Poli and Gloria Cosoli and Lorenzo Verdenelli and Francesco Scardulla and Leonardo D’Acquisto and Susanna Spinsante and Lorenzo Scalise}, title={DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels}, proceedings={IoT Technologies for Health Care. 8th EAI International Conference, HealthyIoT 2021, Virtual Event, November 24-26, 2021, Proceedings}, proceedings_a={HEALTHYIOT}, year={2022}, month={3}, keywords={Photoplethysmographic sensor Wearable device Health monitoring Reliability Metrological characterization Data variability}, doi={10.1007/978-3-030-99197-5_17} }- Angelica Poli
Gloria Cosoli
Lorenzo Verdenelli
Francesco Scardulla
Leonardo D’Acquisto
Susanna Spinsante
Lorenzo Scalise
Year: 2022
DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels
HEALTHYIOT
Springer
DOI: 10.1007/978-3-030-99197-5_17
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 aDo-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.
