Microprocessor-Based Athlete Health Monitoring Device based on Heart Rate and Stride Length Calculation

Authors

  • Rabia Bakhteri VeCAD Research Group, Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Tareef Al Satti VeCAD Research Group, Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Khalil-Hani VeCAD Research Group, Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Hau Yuan Wen VeCAD Research Group, Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v74.4669

Keywords:

Pedometer, activity tracker, force sensitive resistor, step rate, heart rate

Abstract

Abnormal heart rate or low heart rate during exercise or recovery has been known to cause cardiac arrest and even sudden death in some cases.  Similarly, research has shown that low step rate while running may be the causal factor for running injuries due to the force impact exerted and the extra loadings on the lower body joints. Commercial electronic devices used by athletes typically use either accelerometers or coil springs to estimate the step rate resulting in low accuracy. This paper describes the design a low-cost, wearable device that can help athletes monitor their physical activity while running or walking and report step rate, heart rate, distance covered, time elapsed and calories burnt with high accuracy. The system calculates the step rate by analyzing the signal generated from two Force Sensitive Resistors (FSRs) inserted above the insole of a running shoe which is connected to a microcontroller strapped to the athlete’s ankle. According to the experimental results, the prototype was found to have an average accuracy of 97% in measuring the distance covered.

References

N. Zhao. 2010. Full-Featured Pedometer Design Realized with 3-Axis Digital Accelerometer. Analog Dialogue. 44–06.

X. Jouven, J. P. Empana, and P. Schwartz. 2005. Heart Rate Profile During Exercise as a Predictor of Sudden Death. The New England Journal of Medicine. 352: 1951–58.

C. A. Macera, R. R. Pate, K. E. Powell, K. L. Jackson, J.S. Kendrick, & T. E. Craven. 1989. Predicting lower-extremity Injuries Among Habitual Runners. Archives of Internal Medicine. 149(11): 2565–2568.

C. Bryan. Heiderscheit. 2012. Effects of Step Rate Manipulation on Joint Mechanics during Running. Medicine & Science in Sports & Exercise. 43(2): 296–302.

Mackenzie, 2013. How to Improve Your Running Cadence. Retrived from http://www.active.com/running/Articles/How-to-Improve-Your-Running-Cadence.htm.

R. L. Lenhart, C. M. Wille, E.S. Chumanov, B.C. Heiderscheit and D.G. Thelen. 2014. Increasing Running Step Rate Reduces Patellofemoral Joint Forces. Medicine and Science in Sport and Exercise. 46(3): 557–64.

D. M. Bravata, C. Smith-Spangler, V. Sundaram, A. L. Gienger, N. Lin, R. Lewis, 2007. Using Pedometers to Increase Physical Activity and Improve Health: A Systematic Review. JAMA. 298(19): 2296–304.

D. R. Bassett, 2000. Validity and Reliability Issues in Objective Monitoring of Physical Activity. Research Quarterly for Exercise & Sport. 71(2): 30–6.

C. Tudor-Locke and D. R. Bassett. 2004. How Many Steps/Day Are Enough? Preliminary Pedometer Indices for Public Health. Sports Medicine. 34(1): 1–8.

W. L. Haskel, I. M. Lee, R.R Pate, K. E. Powell, S. N. Blair, B. A. Franklin, C. A. Macera, G. W. Heath, P. D. Thompson, A. Bauman, 2007. Physical Activity and Public Health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association. Medicine & Science in Sports & Exercise. 39: 1423–1434.

S. M. Ali and B. George, 2012. A Portable Pedometer Based on Inductive Proximity. 15th International IEEE Conference on Intelligent Transportation Systems Anchorage. 1858–1861.

Yongwon, S. Seungchul, W. Jeong and Seunghwan, 2007. A Preliminary Study for Portable Walking Distance Measurement System Using Ultrasonic Sensors. Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale. 23–26.

J. Moore and G. Zouridakis. 2004. Biomedical Technology and Devices Handbook. CRC Press.

J. Achten and A. E. Jeukendrup, 2003. Heart Rate Monitoring: Applications and Limitations. Sports Medicine. 33: 517–538.

L. Sornanathan and I. Khalil, 2010. Fitness Monitoring System Based On Heart Rate and SpO2 Level. Information Technology and Applications in Biomedicine (ITAB), 10th IEEE International Conference. 1–5.

H. Iain, C. Ruthann, Sarah and Doug, 2010. Ground Contact Time and Running Speed in Elite Championship Distance Races. B Conference Proceedings of the Annual Meeting of the American Soc, 421.

C. Hall. 2004. Energy Expenditure of Walking and Running: Comparison with Prediction Equations. Medicine & Science in Sports & Exercise. 36(12): 2128–2134.

Downloads

Published

2015-05-28

How to Cite

Microprocessor-Based Athlete Health Monitoring Device based on Heart Rate and Stride Length Calculation. (2015). Jurnal Teknologi (Sciences & Engineering), 74(6). https://doi.org/10.11113/jt.v74.4669