Leveraging Knowledge Management Techniques for Developing Multimedia Exercise Guides for Elderly Fall Prevention
DOI:
https://doi.org/10.13052/jmm1550-4646.2028Keywords:
Elderly, exercise, posture, KMSAbstract
In this research study, the primary objective was to develop a comprehensive exercise program specifically designed for elderly individuals. The focus was on evaluating various exercise postures and validating their impact on muscle groups. By integrating knowledge management systems with knowledge engineering methodologies, the aim was to optimize the design of exercise postures and promote optimal health outcomes for the elderly.
Divided into three distinct experiments, the study employed a systematic approach to acquire, represent, and validate knowledge related to exercise postures for the elderly population. The use of knowledge management systems and engineering methodologies facilitated the design of effective exercise postures tailored to meet the unique needs and capabilities of elderly individuals. Experiment I focused on knowledge acquisition through structured interviews with physical therapists. The acquired knowledge was used to screen and prioritize exercise postures suitable for elderly individuals. Expert recommendations and analysis were employed to select a set of exercise postures. Using a matrix combination approach, 189 possible exercise postures were generated by combining aerobic and dance postures. Through a screening process, 52 postures were selected as suitable for elderly individuals. Experiment II utilized kinesthetic representation techniques to visually represent the 52 selected exercise postures for the elderly. Additionally, frame representation was employed to capture muscle specifications associated with each posture. The representation design was validated by physical exercise experts. In the first step of Experiment III, a total of 52 exercise postures were implemented and evaluated with elderly participants. The implementation and validation process aimed to identify the best and most appropriate postures for the elderly, considering factors such as satisfaction levels, difficulty levels, and safety considerations. Through this rigorous evaluation, the initial selection of 52 postures was narrowed down to a final set of 21 suitable postures. The validation results provided valuable insights into the effectiveness of the exercise postures and their impact on the elderly participants. It ensured that the chosen postures were not only effective in promoting optimal health outcomes but also minimized the risk of injury. The iterative assessment and refinement process contributed to the development of an evidence-based exercise program specifically tailored to the unique needs and capabilities of elderly individuals. For the second step of Experiment III, the effects of the selected exercise postures on different muscle groups were validated. Three physical exercise experts evaluated the impact on upper limb, trunk, and lower limb muscles. Specific muscle groups, such as brachioradialis, deltoid, quadriceps, and hamstring, were found to be strongly focused on during the exercises, while trunk muscles were rated as poor overall. The evaluation involved implementing and evaluating a total of 52 exercise postures with elderly participants. The selection of the final 21 postures was based on the evaluation results and provided insights into satisfaction levels, difficulty levels, and safety considerations for each exercise posture. The validation outcomes showed a high level of agreement among the experts, ranging from 79% to 91%.
For conclusion, this research aimed to enhance exercise programs for the elderly by developing more effective methodologies for designing exercise postures. By considering the specific requirements of the elderly population and utilizing knowledge management systems, the study successfully created exercise postures that maximize health benefits and overall well-being. Through the implementation of knowledge engineering methodologies and the utilization of knowledge management systems, the research optimized the design of exercise postures for elderly individuals. The division of the study into three experiments enabled a comprehensive analysis of the acquired knowledge, leading to the development of exercise postures specifically tailored to the needs of the elderly population.
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References
Langhammer B, Bergland A, Rydwik E. The importance of physical activity exercise among older people. Biomed Res Int 2018 Dec 5;2018:7856823. doi: 10.1155/2018/7856823.
Zaleski, Amanda L., et al. “Coming of age: considerations in the prescription of exercise for older adults.” Methodist DeBakey cardiovascular journal 12.2 (2016): 98.
Rivera-Torres, Solymar, Thomas D. Fahey, and Miguel A. Rivera. “Adherence to exercise programs in older adults: informative report.” Gerontology and geriatric medicine 5 (2019): 2333721418823604.
Voukelatos A, Cumming RG, Lord SR et al. A randomized, controlled trial of tai chi for the prevention of falls: The Central Sydney Tai Chi Trial. J Am Geriatr Soc 2007;55:1185–1191.
Giné-Garriga, Maria, et al. “Physical exercise interventions for improving performance-based measures of physical function in community-dwelling, frail older adults: a systematic review and meta-analysis.” Archives of physical medicine and rehabilitation 95.4 (2014): 753–769.
Kado, D. M., Huang, M. H., Karlamangla, A. S., Barrett-Connor, E., & Greendale, G. A. (2005). Hyperkyphotic posture predicts mortality in older community-dwelling men and women: a prospective study. Journal of the American Geriatrics Society, 53(7), 1195–1200.
Chou, Chih-Hsuan, Chueh-Lung Hwang, and Ying-Tai Wu. “Effect of exercise on physical function, daily living activities, and quality of life in the frail older adults: a meta-analysis.” Archives of physical medicine and rehabilitation 93.2 (2012): 237–244.
Van Tulder, M., Becker, A., Bekkering, T., Breen, A., del Real, M. T. G., Hutchinson, A., … and Koes, B. (2006). Chapter 3 European guidelines for the management of acute nonspecific low back pain in primary care. European spine journal, 15(Suppl 2), s169–s191.
Li, Guichen, Xin Li, and Li Chen. “Personally tailored exercises for improving physical outcomes for older adults in the community: A systematic review.” Archives of gerontology and geriatrics 101 (2022): 104707.
Davis, K. G., Kotowski, S. E., and Preusse, K. J. (2010). The importance of good posture in the workplace. Impacts upon musculoskeletal health. International Journal of Industrial Ergonomics, 40(6), 670–677.
Kao PC, Ferris DP. The effect of movement frequency on interlimb coupling during recumbent stepping. Motor Control 2005;9(2):144–63. [PubMed: 15995256]
Rockhill, B., Willett, W.C., Manson, J.E., Leitzmann, M.F., Stampfer, M.J., Hunter, D.J., Colditz, G.A. Physical activity and mortality: A prospective study among women. Am. J. Public Health 2001, 91, 578–583. [PubMed]
Kamitani, Kojiro, et al. “Spinal posture in the sagittal plane is associated with future dependence in activities of daily living: a community-based cohort study of older adults in Japan.” Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences 68.7 (2013): 869–875.
American College of Sports Medicine (ACSM). ACSM’s guidelines for exercise testing and prescription. 8th ed. Philadelphia: Wolters Kluwer Health, Lippincott Williams and Wilkins; 2010.
Institute of Geriatric Medicine, General exercise, and specific disease for elderly. Bangkok: Agricultural Cooperative Federation of Thailand; 2003.
Pornpimol R. Aerobic dance teaching and training skills; Faculty of Education, Buriram Rajabhat University, 2019.
Ballesteros ML, Buchthal F, Rosenfalck P. The Pattern of Muscular Activity during the Arm Swing of Natural Walking. Acta Physiol Scand 1965;63:296–310. [PubMed: 14329151].
Dietz V, Fouad K, Bastiaanse CM. Neuronal coordination of arm and leg movements during human locomotion. Eur J Neurosci 2001;14(11):1906–14. [PubMed: 11860485].
Hafer, Jocelyn K. et al. “Muscle Activation Patterns of Upper and Lower Limb Muscles During Various Forms of Supported Sitting in Healthy Adults.” Journal of Electromyography and Kinesiology, vol. 28, 2016, pp. 35–41, doi: 10.1016/j.jelekin.2015.12.004.
Sureephong, Pradorn, et al. “Evaluate the Effectiveness of Fall Prevention Exercise Posture for Elderly.” 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). IEEE, 2022.
Jang, Hyun-Jeong, et al. “Effects of corrective exercise for thoracic hyperkyphosis on posture, balance, and well-being in older women: a double-blind, group-matched design.” Journal of geriatric physical therapy 42.3 (2019): E17–E27.
Bai, Xiaorong, et al. “Aerobic exercise combination intervention to improve physical performance among the elderly: A systematic review.” Frontiers in Physiology 12 (2022): 2311.
Panyoyai, Pimpaka. “Aerobic Exercise Among the Elderly. Journal of Nursing Science and Health 35.2 (2012): 140–148.
Nongpimol Nimit-arnun, The innovation: Application of 9 square-stepping exercise program with Thai folk dance for fall prevention among community-dwelling older persons, Nursing Collage, Christian University of Thailand, Nakhon Pathom Province.
Ayurved Thamrong School, Center of Applied Thai Traditional Medicine. 9-Square Step Exercise. In: Tawee Laohapand, Uapong Jaturatamrong, editors. Thai Traditional Medicine in the Faculty of Medicine Siriraj Hospital. 2nd ed. Bangkok: Supavanich Press; 2014. p. 67–70.
Zaribafzadeh, Hamed, and Reza Abedian Dehaghani. “Implementation of Knowledge Engineering Fundamentals in Exercise Science and Individualization (P151).” The Engineering of Sport 7 (2008): 89–94.
Weber, Michaela, et al. “Feasibility and effectiveness of intervention programmes integrating functional exercise into daily life of older adults: a systematic review.” Gerontology 64.2 (2018): 172–187.
Liou YI, Knowledge acquisition: issues, techniques, and methodology. In: Proceedings of the 1990 ACM SIGBDP conference on trends and directions in expert systems. 1990, Orlando, Florida, United States: ACM Press, pp. 212–36.
Payne, Philip RO, et al. “Conceptual knowledge acquisition in biomedicine: A methodological review.” Journal of biomedical informatics 40.5 (2007): 582–602.
Wood WC, Roth RM. A workshop approach to acquiring knowledge from single and multiple experts. In: SIGBDP ’90: Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems. 1990. Orlando, Florida, United States: ACM Press.
Boy GA. The group elicitation method for participatory design and usability testing. Interactions 1997;4(2):27–33.
Morgan MS, Benjamin Martz, Wm. Jr. Group consensus: do we know it when we see it? In: Proceedings of the 37th annual Hawaii International conference on system sciences (HICSS’04) Track 1 – Volume 1. 2004, IEEE Computer Society.
Brachman RJ, McGuinness DL. Knowledge va, connectionism and conceptual retrieval. In: Proceedings of the 11th annual international ACM SIGIR conference on research and development in information retrieval. Grenoble, France: ACM Press; 1988.
Brachman RJ, McGuinness DL. Knowledge representation, connectionism and conceptual retrieval. In: Proceedings of the 11th annual international ACM SIGIR conference on research and development in information retrieval. Grenoble, France: ACM Press; 1988.
Karp P.D., 1993. The Design Space of Frame Knowledge Representation Systems, Artificial Intelligence Center, SRI International, SRI AI Center Technical Note Nr. 520.
Fikes R., Tom Kehler, 1985, The Role Of Frame-Based Representation In Reasoning, pp. 904–920.
Park, H., Lee, J., Kim, J., and Kim, D. (2017). The effects of exercise programs using kinesthetic representations on the elderly’s balance and walking ability. Journal of Physical Therapy Science, 29(5), 835–838.
Gorzelanczyk, E. J., and Cavallaro, E. E. (2007). Kinesthetic-tactile perception in older adults. Aging, Neuropsychology, and Cognition, 14(2), 141–157.
Barfield, W., and Weghorst, S. (1993). The sense of presence in virtual environments: A conceptual framework. In Human Factors in Computing Systems (pp. 387–392). ACM.
Huang, J., Li, Y., Wang, Y., and Zhang, Y. (2016). Kinesthetic teaching and learning of Tai Chi movements: A study of elderly individuals in China. International Journal of Human-Computer Interaction, 32(1), 22–29.
Fuchs, P., Moreira, A., Santos, C. P., and Breda, M. (2013). Kinesthetic and tactile feedback in exergames to enhance physical and cognitive abilities of elderly people: A systematic review. In Human-Computer Interaction (pp. 371–382). Springer.
Owoc, Mieczyslaw L., Malgorzata Ochmanska, and Tomasz Gladysz. “On principles of knowledge validation.” Validation and Verification of Knowledge Based Systems: Theory, Tools and Practice (1999): 25–35.
Laurent, Jean-Pierre. “Proposals for a valid terminology in KBS validation.” Proceedings of the 10th European conference on Artificial intelligence. 1992.
Fragala, Maren S., et al. “Resistance training for older adults: position statement from the national strength and conditioning association.” The Journal of Strength & Conditioning Research 33.8 (2019).
Szturm, Tony, et al. “Effects of an interactive computer game exercise regimen on balance impairment in frail community-dwelling older adults: a randomized controlled trial.” Physical therapy 91.10 (2011): 1449–1462.
de Labra C, Guimaraes-Pinheiro C, Maseda A, Lorenzo T, Millán-Calenti JC. Effects of physical exercise interventions in frail older adults: a systematic review of randomized controlled trials. BMC Geriatr. 2015;15:154.
Clegg A, Barber S, Young J, Forster A, Iliffe S. Do home-based exercise interventions improve outcomes for frail older people? Findings from a systematic review. Rev Clin Gerontol. 2012;22(1):68–78.
Singh NA, Quine S, Clemson LM, et al. Effects of high-intensity progressive resistance training and targeted multidisciplinary treatment of frailty on mortality and nursing home admissions after hip fracture: a randomized controlled trial. J Am Med Dir Assoc. 2012;13(1):24–30.
Nelson ME, Rejeski WJ, Blair SN, et al. Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007;39(8):1435–1445.
Gillespie LD, Robertson MC, Gillespie WJ, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012;9:CD007146.
Najafi, Bijan, et al. “Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.” IEEE Transactions on biomedical Engineering 50.6 (2003): 711–723.
Stadler, Jennifer G., et al. “Improving the efficiency and ease of healthcare analysis through use of data visualization dashboards.” Big data 4.2 (2016): 129–135.
