Bioharness(™) Multivariable Monitoring Device: Part. I: Validity
Overview
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The Bioharness(™) monitoring system may provide physiological information on human performance but there is limited information on its validity. The objective of this study was to assess the validity of all 5 Bioharness(™) variables using a laboratory based treadmill protocol. 22 healthy males participated. Heart rate (HR), Breathing Frequency (BF) and Accelerometry (ACC) precision were assessed during a discontinuous incremental (0-12 km·h(-1)) treadmill protocol. Infra-red skin temperature (ST) was assessed during a 45 min(-1) sub-maximal cycle ergometer test, completed twice, with environmental temperature controlled at 20 ± 0.1 °C and 30 ± 0.1 °C. Posture (P) was assessed using a tilt table moved through 160°. Adopted precision of measurement devices were; HR: Polar T31 (Polar Electro), BF: Spirometer (Cortex Metalyser), ACC: Oxygen expenditure (Cortex Metalyser), ST: Skin thermistors (Grant Instruments), P:Goniometer (Leighton Flexometer). Strong relationships (r = .89 to .99, p < 0.01) were reported for HR, BF, ACC and P. Limits of agreement identified differences in HR (-3.05 ± 32.20 b·min(-1)), BF (-3.46 ± 43.70 br·min(-1)) and P (0.20 ± 2.62°). ST established a moderate relationships (-0.61 ± 1.98 °C; r = 0.76, p < 0.01). Higher velocities on the treadmill decreased the precision of measurement, especially HR and BF. Global results suggest that the BioharressTM is a valid multivariable monitoring device within the laboratory environment. Key pointsDifferent levels of precision exist for each variable in the Bioharness(™) (Version 1) multi-variable monitoring deviceAccelerometry and posture variables presented the most precise dataData from the heart rate and breathing frequency variable decrease in precision at velocities ≥ 10 km·h(-1)Clear understanding of the limitations of new applied monitoring technology is required before it is used by the exercise scientist.
Halabi R, Gonzalez-Torres C, MacLean S, Husain M, Pratap A, Alda M IEEE J Biomed Health Inform. 2024; 28(8):4903-4911.
PMID: 38691437 PMC: 11303098. DOI: 10.1109/JBHI.2024.3394754.
Abreu M, Carmo A, Peralta A, Sa F, da Silva H, Bentes C Front Physiol. 2023; 14:1248899.
PMID: 37881691 PMC: 10597694. DOI: 10.3389/fphys.2023.1248899.
Ortiz A, Park Y, MacLean S, Husain M, Sanches M, Ravindran A Can J Psychiatry. 2023; 69(2):126-137.
PMID: 37583363 PMC: 10789230. DOI: 10.1177/07067437231194334.
Kuo M, Lin Y, Huang W, Chiang K, Tu M, Chu C JMIR Mhealth Uhealth. 2023; 11:e48812.
PMID: 37494088 PMC: 10413232. DOI: 10.2196/48812.
Zaltieri M, Massaroni C, Di Tocco J, Bravi M, Morrone M, Sterzi S Int J Environ Res Public Health. 2022; 19(20).
PMID: 36294108 PMC: 9603331. DOI: 10.3390/ijerph192013525.