Cited by 178Non-Invasive Vital Sign MonitoringCardiovascular and exercise physiologyContext-Aware Activity Recognition Systems

Validation of the Hexoskin wearable vest during lying, sitting, standing, and walking activities

Villar, Rodrigo, Beltrame, Thomas, Hughson, Richard L.·2015·Applied Physiology Nutrition and Metabolism

Abstract

We tested the validity of the Hexoskin wearable vest to monitor heart rate (HR), breathing rate (BR), tidal volume (VT), minute ventilation, and hip motion intensity (HMI) in comparison with laboratory standard devices during lying, sitting, standing, and walking. Twenty healthy young volunteers participated in this study. First, participants walked 6 min on a treadmill at speeds of 1, 3, and 4.5 km/h followed by increasing treadmill grades until 80% of their predicted maximal heart rate. Second, lying, sitting, and standing tasks were performed (5 min each) followed by 6 min of treadmill walking at 80% of their ventilatory threshold. Analysis of each individual's mean values under each resting or exercise condition by the 2 measurement systems revealed low coefficient of variation and high intraclass correlation values for HR, BR, and HMI. The Bland-Altman results from HR, BR, and HMI indicated no deviation of the mean value from zero and relatively small variability about the mean. VT and minute ventilation were provided in arbitrary units by the Hexoskin device; however, relative magnitude of change from Hexoskin closely tracked the laboratory standard method. Hexoskin presented low variability, good agreement, and consistency. The Hexoskin wearable vest was a valid and consistent tool to monitor activities typical of daily living such as different body positions (lying, sitting, and standing) and various walking speeds.

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Crossref · 10.1139/apnm-2015-0140

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Authors
Villar, R., Beltrame, T., & Hughson, R. L.
Affiliations
  • Ministry of Education (BR)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR)
  • University of Waterloo (CA)
Venue
Applied Physiology Nutrition and Metabolism
Published
2015-10
Volume
40
Issue
10
Pages
1019-1024
ISSN
  • 1715-5312 (ISSN-L)
  • 1715-5320
OpenAlex
W1845533652
Cited by
178
References
20
Citations by year
2026: 7 · 2025: 23 · 2024: 14 · 2023: 19 · 2022: 23 · 2021: 17 · 2020: 25 · 2019: 17 · 2018: 12 · 2017: 14 · 2016: 6 · 2015: 1
FWCI
5.46
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Physiology, Nutrition, and Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
heart rate monitoring, respiratory rate, tidal volume, minute ventilation, device validation, treadmill walking, posture, exercise intensity, ventilatory threshold, wearable sensors
MeSH terms
Adult, Clothing, Equipment Design, Female, Heart Rate, Humans, Male, Posture, Reference Values, Tidal Volume, Reproducibility of Results, Walking, Monitoring, Ambulatory, Respiratory Rate, Accelerometry

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