Predicting Elderly Falls Using the Roll Factor in The "Smart Walk Trainer" Equipment for Body Weight-Balance Analysis

Authors

  • Kedsara Rakpongsiri Department of Physical Therapy, Faculty of Allied Health Science, Thammasat University (Rangsit campus), Pathumtani, Thailand
  • Kwanchai Srisurak Software Engineer, Western Digital Corporation, Phra Nakhon Si Ayutthaya, Thailand
  • Pornchai Rakpongsiri Advance Technical Engineering, Western Digital Corporation, Phra Nakhon Si Ayutthaya, Thailand

DOI:

https://doi.org/10.59796/jcst.V13N3.2023.978

Keywords:

fall, smart walk, sole, standing, walking, weight bearing, balance assessment, fall prevention

Abstract

The imbalanced posture of the body is a potential risk of accidents in all ages that can be caused by a variety of reasons, including muscle weakness, aging-related deterioration in balance, or neurological problems, possibly see more problem for the elderly. Knowing the weight-bearing condition would be helpful to improve balance of the body to prevent the risk. The “Smart Walk Trainer” equipment has been developed for analyzing the imbalance weight-bearing conditions of both standing and walking manner. It consists of "Force Sensitive Resistor" (FSR) sensors to measure the weight-bearing of the foot, the controlling and processing system of the NI USB-6009 multifunction I/O hardware, and LabVIEW software. The study using this equipment aims to examine the differences between young and elderly subjects in terms of weight-bearing and balance assessment. The result showed the roll_factor of the elderly deviated greatly from the balance point (Right: Mean = -0.72, SD = 1.4; Left: Mean=0.78, SD=1.41) when compared to the young subjects (Right: Mean = 0.01, SD = 0.56; Left: Mean=-0.19, SD = 0.49) which corresponded to the risk of falling in the elderly. The equipment also provides specialists with enhanced clarity regarding weight distribution patterns, enabling them to identify any abnormalities and then provide targeted exercise recommendations to strengthen specific muscles and promote improved balance for fall prevention.

References

Beckham, G. K., Suchomel, T., & Mizuguchi, S. (2014). Force Plate Use in Sport Science Testing. New Studies in Athletics, 29(3), 25-37.

Butterworth, P. A., Urquhart, D. M., Landorf, K. B., Wluka, A. E., Cicuttini, F. M., & Menz, H. B. (2015). Foot posture, range of motion and plantar pressure characteristics in obese and non-obese individuals. Gait Posture, 41(2), 465-469. https://doi.org/10.1016/j.gaitpost.2014.11.010

Comerford, M. J., & Mottram, S. L. (2001). Movement and stability dysfunction–contemporary developments. Manual Therapy, 6(1), 15-26. https://doi.org/10.1054/math.2000.0388

Heglund, N. C. (1981). A simple design for a force-plate to measure ground reaction forces. The Journal of Experimental Biology, 93, 333-338. https://doi.org/10.1242/jeb.93.1.333

Lalande, X., Vie, B., Weber, J. P., & Jammes, Y. (2016). Normal Values of Pressures and Foot Areas Measured in the Static Condition. Journal of the American Podiatric Medical Association, 106(4), 265-272. https://doi.org/10.7547/14-008

Malvade, P. S., Joshi, A. K., & Madhe, S. P. (2017, April 6-8). IoT based monitoring of foot pressure using FSR sensor [Conference presentation]. In 2017 International Conference on Communication and Signal Processing (ICCSP). Chennai, India. https://doi:10.1109/ICCSP.2017.8286435

Marsk, A. (1958). Studies on weight-distribution upon the lower extremities in individuals working in a standing position: Assessing the results of the measurements of load-pressure differences against the background of handedness and some clinical observations. Acta Orthopaedica Scandinavica, 29(31), 1-64. https://doi.org/10.3109/ort.1958.29.suppl-31.01

Menz, H. B., Fotoohabadi, M. R., Munteanu, S. E., Zammit, G. V., & Gilheany, M. F. (2013). Plantar pressures and relative lesser metatarsal lengths in older people with and without forefoot pain. Journal of Orthopaedic Research, 31(3), 427-433. https://doi.org/10.1002/jor.22229

Mickle, K. J., & Steele, J. R. (2015). Obese older adults suffer foot pain and foot-related functional limitation. Gait Posture, 42(4), 442-447. https://doi.org/10.1016/j.gaitpost.2015.07.013

Moon, Y., Kim, M., & Choi, J. (2014). Correlation between Weight Bearing Ratio and Functional Level for Development of Pressure Sensor Biofeedback in Stroke Patient. Journal of the Korean Society of Physical Medicine, 9(3), 315-324. https://doi.org/10.13066/kspm.2014.9.3.315

Muñoz-Organero, M., Parker, J., Powell, L., Davies, R., & Mawson, S. (2017). Sensor Optimization in Smart Insoles for Post-Stroke Gait Asymmetries Using Total Variation and L1 Distances. IEEE Sensors Journal, 17(10), 3142-3151. https://doi.org/10.1109/JSEN.2017.2686641

Ohlendorf, D., Doerry, C., Fisch, V., Schamberger, S., Erbe, C., Wanke, E. M., Groneberg, D. A. (2019). Standard reference values of the postural control in healthy young female adults in Germany: an observational study. BMJ Open, 9(6), Article e026833. https://doi.org/10.1136/bmjopen-2018-026833

Ohlendorf, D., Kerth, K., Osiander, W., Holzgreve, F., Fraeulin, L., Ackermann, H., Groneberg, D. A. (2020). Standard reference values of weight and maximum pressure distribution in healthy adults aged 18-65 years in Germany. Journal of Physiological Anthropology, 39(1), Article 39. https://doi.org/10.1186/s40101-020-00246-6

Piau, A., Charlon, Y., Campo, E., Vellas, B., & Nourhashemi, F. (2015). A smart insole to promote healthy aging for frail elderly individuals: Specifications, design, and preliminary results. JMIR Rehabilitation and Assistive Technologies, 2(1), Article e4084. https://doi.org/10.2196/rehab.4084

Pirker, W., & Katzenschlager, R. (2017). Gait disorders in adults and the elderly: A clinical guide. Wien Klin Wochenschr, 129(3-4), 81-95. https://doi.org/10.1007/s00508-016-1096-4

Sazonov, E. S., Hegde, N., & Tang, W. (2013, July 3-7). Development of SmartStep: An insole-based physical activity monitor [Conference presentation]. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan. https://doi.org/10.1109/EMBC.2013.6611221

Scharnweber, B., Adjami, F., Schuster, G., Kopp, S., Natrup, J., Erbe, C., Ohlendorf, D. (2017). Influence of dental occlusion on postural control and plantar pressure distribution. CRANIO®, 35(6), 358-366. https://doi.org/10.1080/08869634.2016.1244971

Shumway-Cook, A., & Woollacott, M. H. (2007). Motor control: Translating research into clinical practice (3rd ed.). Philadelphia, Pennsylvania: Lippincott Williams & Wilkins.

Shahabpoor, E., & Pavic, A. (2017). Measurement of walking ground reactions in real-life environments: a systematic review of techniques and technologies. Sensors, 17(9), Article 2085. https://doi.org/10.3390/s17092085

Sung, P. S., & Park, M. S. (2021). Compensatory Ground Reaction Forces during Scoliotic Gait in Subjects with and without Right Adolescent Idiopathic Scoliosis. Symmetry, 13(12), Article 2372. https://doi.org/10.3390/sym13122372

Taube, W., Schubert, M., Gruber, M., Beck, S., Faist, M., & Gollhofer, A. (2006). Direct corticospinal pathways contribute to neuromuscular control of perturbed stance. Journal of Applied Physiology, 101(2), 420-429. https://doi.org/10.1152/japplphysiol.01447.2005

Truong, P. H., Lee, J., Kwon, A. R., & Jeong, G. M. (2016). Stride Counting in Human Walking and Walking Distance Estimation Using Insole Sensors. Sensors, 16(6), Article 823. https://doi.org/10.3390/s16060823

Walsh, T. P., Butterworth, P. A., Urquhart, D. M., Cicuttini, F. M., Landorf, K. B., Wluka, A. E., ... & Menz, H. B. (2017). Increase in body weight over a two-year period is associated with an increase in midfoot pressure and foot pain. Journal of foot and ankle research, 10(1), 1-8. https://doi.org/10.1186/s13047-017-0214-5

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Published

2023-08-30

How to Cite

Rakpongsiri, K., Srisurak, K., & Rakpongsiri, P. (2023). Predicting Elderly Falls Using the Roll Factor in The "Smart Walk Trainer" Equipment for Body Weight-Balance Analysis. Journal of Current Science and Technology, 13(3), 610–619. https://doi.org/10.59796/jcst.V13N3.2023.978

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