MODELING REALITY: REVISITING CALVERT'S FITNESS SIMULATION
- PMID: 35510218
- PMCID: PMC9066612
- DOI: 10.1115/dmd2021-1068
MODELING REALITY: REVISITING CALVERT'S FITNESS SIMULATION
Abstract
Wearable sensors have gained mainstream acceptance for health and fitness monitoring despite the absence of clinically validated analytic models for clinical decision support. Individual sensors measuring, say, EKG signal and heart rate can provide insight on cardiovascular response, but a more complete picture of health and fitness requires a more complete portfolio of sensors and data. This paper outlines the research underway to revisit and reconfigure the 1976 Calvert systems model of the effect of training on physical performance. Specifically, we use wearable sensor data from clinical trials to supplement a hybrid model created by nesting Perl's Performance-Potential model within Calvert's transfer function approach to system simulation. Contemporary simulation tools combined with wearables clinical trial data is the foundation for a more agile platform for simulation of fitness and exploration of causality between training and physical performance. This platform offers the opportunity to strategically integrate data from various wearable sensors in a fashion enabling improved support for post-injury and return to sport decision-making.
Keywords: Calvert model; Wearables; fitness monitoring; post injury physical therapy; return to sport.
Figures
References
-
- Calvert T, Banister E, Savage M, and Bach T “A Systems Model of the Effects of Training on Physical Performance,” IEEE Transactions of Systems, Man, and Cybernetics, 1976. SMC-6(2), pp.94–100.
-
- Seshadri DR, Drummond C, Craker J, Rowbottom JR, Voos JE. “Wearable Devices for Sports: New Integrated Technologies Allow Coaches, Physicians, and Trainers to Better Understand the Physical Demands of Athletes in Real time.” IEEE Pulse. 2017. Feb;8(1):38–43. - PubMed
-
- Seshadri DR, Rowbottom JR, Drummond C, Voos JE, Craker J. “A review of wearable technology: Moving beyond the hype: From need through sensor implementation.” In: 2016 8th Cairo International Biomedical Engineering Conference (CIBEC). 2016. p. 52–5.
-
- Seshadri DR, Magliato S, Voos JE, Drummond C. “Clinical translation of biomedical sensors for sports medicine.” J Med Eng Technol. 2019. Jan;43(1):66–81 - PubMed
-
- Baca A, Perl J. Modelling and Simulation in Sport and Exercise. Routledge. 2020.
Grants and funding
LinkOut - more resources
Full Text Sources