Investigating Stroke Effects on Respiratory Parameters Using a Wearable Device: A Pilot Study on Hemiplegic Patients.

hemiplegic patient physiological monitoring piezoresistive sensors respiratory monitoring strain sensor wearable device

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
05 Sep 2022
Historique:
received: 08 08 2022
revised: 01 09 2022
accepted: 01 09 2022
entrez: 9 9 2022
pubmed: 10 9 2022
medline: 14 9 2022
Statut: epublish

Résumé

Quantitatively assessing personal health status is gaining increasing attention due to the improvement of diagnostic technology and the increasing occurrence of chronic pathologies. Monitoring physiological parameters allows for retrieving a general overview of the personal health status. Respiratory activity can provide relevant information, especially when pathologies affect the muscles and organs involved in breathing. Among many technologies, wearables may represent a valid solution for continuous and remote monitoring of respiratory activity, thus reducing healthcare costs. The most popular wearables used in this arena are based on detecting the breathing-induced movement of the chest wall. Therefore, their use in patients with impaired chest wall motion and abnormal respiratory kinematics can be challenging, but literature is still in its infancy. This study investigates the performance of a custom wearable device for respiratory monitoring in post-stroke patients. We tested the device on six hemiplegic patients under different respiratory regimes. The estimated respiratory parameters (i.e., respiratory frequency and the timing of the respiratory phase) demonstrated good agreement with the ones provided by a gold standard device. The promising results of this pilot study encourage the exploitation of wearables on these patients that may strongly impact the treatment of chronic diseases, such as hemiplegia.

Identifiants

pubmed: 36081165
pii: s22176708
doi: 10.3390/s22176708
pmc: PMC9459881
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Joshua Di Tocco (J)

Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Daniela Lo Presti (D)

Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Martina Zaltieri (M)

Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Marco Bravi (M)

Unit of Physical and Rehabilitative Medicine, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Michelangelo Morrone (M)

Unit of Physical and Rehabilitative Medicine, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Silvia Sterzi (S)

Unit of Physical and Rehabilitative Medicine, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Emiliano Schena (E)

Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Carlo Massaroni (C)

Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

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Classifications MeSH