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Erschienen in: Medical & Biological Engineering & Computing 12/2019

17.11.2019 | Original Article

Monitoring respiratory rates with a wearable system using a stretchable strain sensor during moderate exercise

verfasst von: Akio Yamamoto, Hiroyuki Nakamoto, Yusuke Bessho, Yu Watanabe, Yutaro Oki, Kumiko Ono, Yukari Fujimoto, Tsutomu Terada, Akira Ishikawa

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 12/2019

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Abstract

Respiratory rate, a sensitive indicator of respiratory status, is rarely measured during the field walking test. Our objective was to develop and validate a non-invasive, wearable monitoring system using stretchable strain sensors and an accompanying algorithm capable of providing real-time measurements of respiration during exercise. Twenty-four healthy volunteers wore stretchable sensors during a walking test protocol that included standing, sitting, walking, and walking with a stick. Sensors were placed on the ribcage and abdomen. The Bland-Altman method was used to assess the accuracy and precision of breath counts; total respiration time and inspiration time ratio were determined by custom algorithms and compared with measurements obtained with the standard flow sensor. The output signal from the stretchable sensor was highly synchronized with flow signals. The limits of agreement were within 3 breaths/min throughout the test protocol. Differences between sensors for total respiration time and inspiration time ratio were less than 14% and 26%, respectively. The agreement was maintained regardless of respiratory rate or volume. The wearable respiratory monitoring system yielded accurate and precise breath counts and total duration of respiratory cycle during moderate exercise in healthy young individuals, suggesting that it might be useful in clinical practice.

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Metadaten
Titel
Monitoring respiratory rates with a wearable system using a stretchable strain sensor during moderate exercise
verfasst von
Akio Yamamoto
Hiroyuki Nakamoto
Yusuke Bessho
Yu Watanabe
Yutaro Oki
Kumiko Ono
Yukari Fujimoto
Tsutomu Terada
Akira Ishikawa
Publikationsdatum
17.11.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 12/2019
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-019-02062-2

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