Feasibility study of the use of a wearable vital sign patch in an intensive care unit setting.

Medical wearables Telemonitoring Vital signs

Journal

Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357

Informations de publication

Date de publication:
19 Aug 2024
Historique:
received: 03 05 2024
accepted: 05 08 2024
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 19 8 2024
Statut: aheadofprint

Résumé

Multiple studies and review papers have concluded that early warning systems have a positive effect on clinical outcomes, patient safety and clinical performances. Despite the substantial evidence affirming the efficacy of EWS applications, persistent barriers hinder their seamless integration into clinical practice. Notably, EWS, such as the National Early Warning Score, simplify multifaceted clinical conditions into singular numerical indices, thereby risking the oversight of critical clinical indicators and nuanced fluctuations in patients' health status. Furthermore, the optimal deployment of EWS within clinical contexts remains elusive. Manual assessment of EWS parameters exacts a significant temporal toll on healthcare personnel. Addressing these impediments necessitates innovative approaches. In this regard, wearable medical technologies emerge as promising solutions capable of continual monitoring of hospitalized patients' vital signs. To overcome the barriers of the use of early warning scores, wearable medical technology has the potential to continuously monitor vital signs of hospitalised patients. However, a fundamental inquiry arises regarding the comparability of their reliability to the current used golden standards. This inquiry underscores the imperative for rigorous evaluation and validation of wearable medical technologies to ascertain their efficacy in augmenting extant clinical practices. This prospective, single-center study aimed to evaluate the accuracy of heart rate and respiratory rate measurements obtained from the Vivalink Cardiac patch in comparison to the ECG-based monitoring system utilized at AZ Maria Middelares Hospital in Ghent. Specifically, the study focused on assessing the concordance between the data obtained from the Vivalink Cardiac patch and the established ECG-based monitoring system among a cohort of ten post-surgical intensive care unit (ICU) patients. Of these patients, five were undergoing mechanical ventilation post-surgery, while the remaining five were not. The study proceeded by initially comparing the data recorded by the Vivalink Cardiac patch with that of the ECG-based monitoring system. Subsequently, the data obtained from both the Vivalink Cardiac patch and the ECG-based monitoring system were juxtaposed with the information derived from the ventilation machine, thereby providing a comprehensive analysis of the patch's performance in monitoring vital signs within the ICU setting. For heart rate, the Vivalink Cardiac patch was on average within a 5% error range of the ECG-based monitoring system during 85.11±10.81% of the measured time. For respiratory rate this was during 40.55±17.28% of the measured time. Spearman's correlation coefficient showed a very high correlation of

Identifiants

pubmed: 39158782
doi: 10.1007/s10877-024-01207-5
pii: 10.1007/s10877-024-01207-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature B.V.

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Auteurs

Guylian Stevens (G)

Departement of Electronics and Information Systems - IBiTech, Ghent University, Korneel Heymanslaan, Gent, 9000, East-Flanders, Belgium. Guylian.Stevens@ugent.be.
H3CareSolutions, Henegouwenstraat 41, Gent, 9000, East-Flanders, Belgium. Guylian.Stevens@ugent.be.

Michiel Larmuseau (M)

Partnership of Anesthesia, AZ Maria Middelares Hospital, Buitenring Sint-Denijs 30, Gent, 9000, East-Flanders, Belgium.

Annelies Van Damme (AV)

Partnership of Anesthesia, AZ Maria Middelares Hospital, Buitenring Sint-Denijs 30, Gent, 9000, East-Flanders, Belgium.

Henk Vanoverschelde (H)

Partnership of Anesthesia, AZ Maria Middelares Hospital, Buitenring Sint-Denijs 30, Gent, 9000, East-Flanders, Belgium.

Jan Heerman (J)

Partnership of Anesthesia, AZ Maria Middelares Hospital, Buitenring Sint-Denijs 30, Gent, 9000, East-Flanders, Belgium.

Pascal Verdonck (P)

Departement of Electronics and Information Systems - IBiTech, Ghent University, Korneel Heymanslaan, Gent, 9000, East-Flanders, Belgium.

Classifications MeSH