Reliability and Validity of the Hexoskin Wearable Body Metrics Telemetry Shirt

Michael Brent Phillips, Jason Beach, Michael Cathey, Jake Lockert, William Satterfield



Objective: To examine the reliability and validity of the Hexoskin wearable body metrics telemetry shirt.

Design: Experimental Design

Setting: Data were collected for three days a week for three weeks in a clinical lab setting.

Participants: Six healthy young, nonsmoking participants (3 males and 3 females) were selected for this study (age 23.7 +/- 2.3 years, height 171.66 +/- 9.71 cm, weight 73.53 +/- 8.8 kg, body fat percentage 15.9 +/- 5.8, body mass index 24.9 +/- 1.82 kg/m2 ).

Interventions: Two distinct phases of examining the reliability and validity of the Hexoskin shirt during moderate and vigorous intensities.

Main Outcome Measures: To establish test-retest reliability, data were analyzed using  Pearson-r by validating the reliability from each week’s treadmill test using the calories per-minute data from each participant while wearing the Hexoskin telemetry shirt. Validity was established using criterion related concurrent validity methodology by computing Pearson-r correlation calories per-minute data for the Hexoskin, and the corresponding data from the ParvoMedic TrueOneⓇ2400 Metabolic Cart (VO2 Max). The HexoSkin heart rate was also compared between each moderate test and vigorous test using nonparametric statistics because of the small sample size. Wilcoxon signed-rank test was used to compare the heart rates between each intensity.

Results: Of the many data points provided by the HexoSkin, the study focused on calories, breathing rate, and heart rate. The reliability of accurate calorie burn was tested at the moderate and vigorous levels for all six participants based off the Harris-Benedict equation.  Breathing rate readings from the HexoSkin were compared at the moderate and vigorous levels against the ParvoMedic TrueOneⓇ2400 Metabolic Cart at moderate and vigorous levels. Finally, the HexoSkin heart rate was also compared between each moderate test and vigorous test using nonparametric statistics because of the small sample size and that the cases were matched samples

Conclusions: The current study examined the Hexoskin under typical exercising constraints of moderate and vigorous intensities with healthy adults. The study demonstrated that with a properly fitting Hexoskin shirt and following proper protocols, the Hexoskin shirt could be used as a tool to accurately monitor levels of telemetry data during physical activity. It was concluded that the Hexoskin wearable body metrics telemetry shirt is a reliable and valid tool to be used during moderate and vigorous activities.

List of Abbreviations

VO2 Max (Volume of Oxygen Consumption), PAR-Q (Physical Activity Readiness Questionnaire)


Hexoskin, Reliability, Validity, Wearable Telemetry Body Metrics Shirt



Flegal K, Carroll M, Kit B, Ogden C. Prevalence of obesity andtrends in the distribution of body mass index among U.S. adults. JAMA. 2012; 307(5):491-7.

Ogden C, Carroll M, Kit B, Flegal K. Prevalence of obesity and trends in the distribution of body mass index among U.S. children and adolescents. JAMA. 2012; 307(5):483-90.

Grundy S. Obesity, metabolic syndrome, and cardiovascular disease. Int J Clin Endocrinol Metab. 2004; 89(6):2595-600.

Welk G, Schaben J, Morrow J. Reliability of accelerometry-based activity monitors: A generalizability study. Med Sci Sports Exerc. 2004; 36(9):1637-45.

Lee J, Kim Y, Welk G. Validity of consumer-based physical activity monitors. Med Sci Sports Exerc. 2014; 46(9):1840-8.

Montgomery-Downs H, Insana S, Bond J. Movement toward a novel activity monitoring device . Sleep Breath. 2014; 16(3):913-7.

Rothney M, Schaefer E, Neumann M, Choi L, Chen K. Validity of physical activity intensity predictions by ActiGraph, actical, and RT2 accelerometers . Obesity. 2008; 16:1946-52.

Duking P, Hotho A, Holmberg H, Fuss F, Sperlich B. Comparison of non-invasive individual monitoring of the training and health of athletes with Front Physiol. 2016;7(71)

Gusmer R, Bosch T, Watkins A, Ostrem J, Dengel D. Comparison of fitbit ultra to ActiGraph GT1M for assessment of physical activity in young adults during treadmill walking. J Open Sports Med. 2014; 8:11-5.

Villar R, Beltrame T, Hughson R. Validation of the hexoskin wearable vest during lying, sitting, standing, and walking activities. Appl Physiol Nutr Metab [Internet]. 2015; 40(10):1019-24.

Hexoskin. Hexoskin Wearable Body Metrics; 2017.

Grifantini K. The telltale heartbeat. IEEE Pulse. 2016; 7(1):35-8.

Stackpool C, Porcari J, Mikat M, Gillette C, Foster C. Are activity trackers accurate? Ace

Prosource. 2015: 1-3. Retrieved from

Thompson W. Worldwide survey of fitness trends for 2015: What’s driving the market? ACSM Health Fit J. 2014; 18:8-17.

Bannerjee T, Anantharam P, Romine W, Lawhorne L, Sheth A. Evaluating a potential commercial tool for healthcare application for people with dementia.. In: International Conference on Health Informatics and Medical Systems; 2015 July 27-30; Las Vegas, NV. 2015

Sanders J, Loveday A, Pearson N, Edwardson C, Yates T, Biddle S. Devices for self-monitoring sedentary time or physical activity: A scoping review. J Med Internet Res. 2016;


Canadian Society for Exercise Physiology. Physical Activity Readiness Questionnaire Ottawa, ON: Canadian Society for Exercise Physiology; 2002.

Statistical Package for the Social Sciences. Retrieved from

Heyward V, Gibson A. Advanced fitness assessment and exercise prescription. Human Kinetics. 2014



  • There are currently no refbacks.


 JSHP is hosted by the Mary and Jeff Bell Library, at Texas A&M University- Corpus Christi.