The Potential of Wearable Limb Ballistocardiogram in Blood Pressure Monitoring via Pulse Transit Time.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
23 07 2019
Historique:
received: 05 03 2019
accepted: 03 07 2019
entrez: 25 7 2019
pubmed: 25 7 2019
medline: 24 10 2020
Statut: epublish

Résumé

The goal of this study was to investigate the potential of wearable limb ballistocardiography (BCG) to enable cuff-less blood pressure (BP) monitoring, by investigating the association between wearable limb BCG-based pulse transit time (PTT) and BP. A wearable BCG-based PTT was calculated using the BCG and photoplethysmogram (PPG) signals acquired by a wristband as proximal and distal timing reference (called the wrist PTT). Its efficacy as surrogate of BP was examined in comparison with PTT calculated using the whole-body BCG acquired by a customized weighing scale (scale PTT) as well as pulse arrival time (PAT) using the experimental data collected from 22 young healthy participants under multiple BP-perturbing interventions. The wrist PTT exhibited close association with both diastolic (group average r = 0.79; mean absolute error (MAE) = 5.1 mmHg) and systolic (group average r = 0.81; MAE = 7.6 mmHg) BP. The efficacy of the wrist PTT was superior to scale PTT and PAT for both diastolic and systolic BP. The association was consistent and robust against diverse BP-perturbing interventions. The wrist PTT showed superior association with BP when calculated with green PPG rather than infrared PPG. In sum, wearable limb BCG has the potential to realize convenient cuff-less BP monitoring via PTT.

Identifiants

pubmed: 31337783
doi: 10.1038/s41598-019-46936-9
pii: 10.1038/s41598-019-46936-9
pmc: PMC6650495
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10666

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Auteurs

Peyman Yousefian (P)

Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.

Sungtae Shin (S)

Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.

Azin Mousavi (A)

Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.

Chang-Sei Kim (CS)

School of Mechanical Engineering, Chonnam National University, Gwangju, Korea.

Ramakrishna Mukkamala (R)

Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA.

Dae-Geun Jang (DG)

Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.

Byung-Hoon Ko (BH)

Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.

Jongwook Lee (J)

Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.

Ui Kun Kwon (UK)

Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.

Youn Ho Kim (YH)

Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.

Jin-Oh Hahn (JO)

Department of Mechanical Engineering, University of Maryland, College Park, MD, USA. jhahn12@umd.edu.

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Classifications MeSH