Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Sep 1;11(3):400-8.
eCollection 2012.

Bioharness(™) multivariable monitoring device: part. I: validity

Affiliations

Bioharness(™) multivariable monitoring device: part. I: validity

James A Johnstone et al. J Sports Sci Med. .

Abstract

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.

Keywords: Physiological technology; exercise; precision of measurement.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Picture of the BioharnessTM as worn by a subject participating in the testing process.
Figure 2.
Figure 2.
Residual versus predicted plot demonstrating the relationship for (a) BF, (b) HR, and (c) ST.
Figure 3.
Figure 3.
Trend in data between mean foot steps (- -▲- -) and mean VMU (-□-) per active stages of treadmill protocol (nb. Treadmill stages 1 to 5 refers to 4 km.h-1 to 12 km.h-1 respectively).
Figure 4.
Figure 4.
Scatter plot demonstrating the relationship between (a) Bioharness BF and Criterion and (b) Bioharness HR and Criterion across all velocities on treadmill. Nb. line of identity (- - - -), regression line (_____).

Similar articles

Cited by

References

    1. Achten J., Jeukendrup E.(2003) Heart rate monitoring: applications and limitations. Sports Medicine 333(7), 517–538 - PubMed
    1. Atkinson G., Nevill A.M.(1998) Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Medicine 226(4), 217–238 - PubMed
    1. Bernmark E., Wiktorin C.(2002) A triaxial accelerometer for measuring arm movements. Applied Ergonomics 333, 541–547 - PubMed
    1. Bland J.M., Altman D.G.(1986) Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet 3327(8476), 307–310 - PubMed
    1. Bland J.M., Altman D.G.(2003) Applying the right statistics: analysis of measurement studies. Ultrsound in Obstetric and Gynecology 222, 85–93 - PubMed

LinkOut - more resources