Literature DB >> 26360814

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

Rodrigo Villar1,2, Thomas Beltrame2,3, Richard L Hughson2.   

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.

Entities:  

Keywords:  Bland–Altman plots; breathing rate; coefficient de variation; coefficient of variation; corrélation intra-classe; dispositif portable; fréquence cardiaque; fréquence respiratoire; graphique Bland–Altman; heart rate; hip-motion intensity; intensité du mouvement de la hanche; intraclass correlation; ventilation; wearable device

Mesh:

Year:  2015        PMID: 26360814     DOI: 10.1139/apnm-2015-0140

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  32 in total

1.  Aerobic system analysis based on oxygen uptake and hip acceleration during random over-ground walking activities.

Authors:  Thomas Beltrame; Richard L Hughson
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-11-16       Impact factor: 3.619

2.  Evaluating physiological signal salience for estimating metabolic energy cost from wearable sensors.

Authors:  Kimberly A Ingraham; Daniel P Ferris; C David Remy
Journal:  J Appl Physiol (1985)       Date:  2019-01-10

3.  Laboratory Validation of Hexoskin Biometric Shirt at Rest, Submaximal Exercise, and Maximal Exercise While Riding a Stationary Bicycle.

Authors:  Cara M Smith; Steven N Chillrud; Darby W Jack; Patrick Kinney; Qiang Yang; Aimee M Layton
Journal:  J Occup Environ Med       Date:  2019-04       Impact factor: 2.162

4.  Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models.

Authors:  Thomas Beltrame; Robert Amelard; Alexander Wong; Richard L Hughson
Journal:  J Appl Physiol (1985)       Date:  2017-06-08

5.  Effect of Cloth Masks and N95 Respirators on Maximal Exercise Performance in Collegiate Athletes.

Authors:  Matthew E Darnell; Tyler D Quinn; Sean P Carnahan; Tyler Carpenter; Nicholas Meglino; Patrick L Yorio; Jeanne M Doperak
Journal:  Int J Environ Res Public Health       Date:  2022-06-21       Impact factor: 4.614

6.  Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications.

Authors:  Mirza Mansoor Baig; Hamid GholamHosseini; Jairo Gutierrez; Ehsan Ullah; Maria Lindén
Journal:  Appl Clin Inform       Date:  2021-01-06       Impact factor: 2.342

Review 7.  Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies.

Authors:  Peter Düking; Andreas Hotho; Hans-Christer Holmberg; Franz Konstantin Fuss; Billy Sperlich
Journal:  Front Physiol       Date:  2016-03-09       Impact factor: 4.566

8.  Respiratory Frequency during Exercise: The Neglected Physiological Measure.

Authors:  Andrea Nicolò; Carlo Massaroni; Louis Passfield
Journal:  Front Physiol       Date:  2017-12-11       Impact factor: 4.566

9.  Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living.

Authors:  T Beltrame; R Amelard; A Wong; R L Hughson
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379

10.  Using Hexoskin Wearable Technology to Obtain Body Metrics During Trail Hiking.

Authors:  Jeff Montes; Tori M Stone; Jacob W Manning; Damon McCune; Debra K Tacad; John C Young; Mark Debeliso; James W Navalta
Journal:  Int J Exerc Sci       Date:  2015-10-15
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