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


Journal

Medical & biological engineering & computing
ISSN: 1741-0444
Titre abrégé: Med Biol Eng Comput
Pays: United States
ID NLM: 7704869

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 07 03 2019
accepted: 02 11 2019
pubmed: 18 11 2019
medline: 1 5 2020
entrez: 18 11 2019
Statut: ppublish

Résumé

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. Graphical abstract.

Identifiants

pubmed: 31734768
doi: 10.1007/s11517-019-02062-2
pii: 10.1007/s11517-019-02062-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2741-2756

Subventions

Organisme : Bando Chemical Industries Ltd.
ID : n.s.
Organisme : Japan Society for the Promotion of Science (JP)
ID : JP17K17502
Organisme : Japan Society for the Promotion of Science
ID : JP18K10744

Auteurs

Akio Yamamoto (A)

Department of Community Health Sciences, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe-si, Hyogo, 654-0142, Japan. fon175@osaka-med.ac.jp.

Hiroyuki Nakamoto (H)

Department of System Science, Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, 657-8501, Japan.

Yusuke Bessho (Y)

New Business Promotion Center, Bando Chemical Industries, Ltd., 4-6-6 Minatojimaminamimachi, Chuou-ku, Kobe-si, Hyogo, 650-0047, Japan.

Yu Watanabe (Y)

Eikokai Ono Hospital, 973, Tenjin-cho, Ono-si, Hyyogo, 675-1316, Japan.

Yutaro Oki (Y)

Department of Community Health Sciences, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe-si, Hyogo, 654-0142, Japan.

Kumiko Ono (K)

Department of Community Health Sciences, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe-si, Hyogo, 654-0142, Japan.

Yukari Fujimoto (Y)

Department of Community Health Sciences, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe-si, Hyogo, 654-0142, Japan.

Tsutomu Terada (T)

Department of Engineering, Graduate School of Engineering, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, 657-8501, Japan.

Akira Ishikawa (A)

Department of Community Health Sciences, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe-si, Hyogo, 654-0142, Japan.

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Classifications MeSH