Abstract
Nowadays, the phenomenon of aging is becoming more and more serious. The elderly people suffer from various illness, like degenerative osteoarthropathy and sarcopenia, which seriously hinder the ability of elders’ daily activities and affect their quality of life, and even induce other more serious diseases. The medical and health care design that focuses on such problems is extremely important and urgent. Some evidence indicated that resistance exercise was an appropriate treatment method for early-staged degenerative osteoarthropathy and sarcopenia. Based on the basic principle of resistance exercise and the digital human modeling (DHM) technical expertise, a set of wearable exercise boosters was designed, and with it the elders can perform appropriate resistance activities without any external assist, and maintain the mobility of lower limbs. The wearable exercise booster combines concepts of anthropometry, biometrics, motion capture and prediction. Firstly, the signals of flexion and extension of limbs can be transmitted to the servo motor by the pressure sensor placed in the device pad. Then, the servo motor drives the external kneepad by rotating in a specified direction and gives proper resistance to the stretching motion, and finally, the wearers can do resistance exercise by themselves gradually with the booster’s help. For patients who need different levels of exercise, artificial intelligence technology can be applied beforehand to make changes of strength, speed and frequency in different treatment courses, to fully meet the requirements of users for home-based rehabilitation physiotherapy. This research is a good application of the DHM in medical and nursing fields, and has certain innovative and practical significance.
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References
Hu, C.C.: Usability design of home adjuvant medical products for elderly knee joint. Tianjin Polytechnic University, Tianjin (2015)
Bijlsman, J.W., Berenbaum, F., Lafeber, F.P.: Osteoarthritis: an update with relevance for clinical practice. J. Lancet 377(9783), 2115–2126 (2011)
Cawthon, P.M.: Recent progress in sarcopenia research: a focus on operationalizing a definition of sarcopenia. J. Curr. Osteoporos. Rep. 16(6), 730–737 (2018). https://doi.org/10.1007/s11914-018-0484-2
Osteoporosis Group of Chinese Orthopaedic Association: The guidelines for the osteoarthritis diagnosis and treatment. J. Chin. J. Orthop. 54(03), 458–462 (2019)
Wang, J.M., Wang, A.P.: Research progress on exercise therapy nursing program for patients with knee osteoarthritis. J. Chin. J. Nurs. 54(03), 458–462 (2019)
Xie, X., Chen, H.: The application of exercise therapy in patients with rheumatoid arthritis. J. Chin. J. Nurs. 50(09), 1100–1103 (2015)
Dong, H.: The influence of the resistance training on the muscle mass and exercise capacity of the elderly people with sarcopenia. Inner Mongolia Normal University, Hohhot (2020)
Gao, Q.Q., Lv, J.Y.: Intelligent healthcare: opportunities and challenges for public health in the age of artificial intelligence. J. E-Gov. (11), 11–19 (2017)
Qi, H.J.: Study on non-communicable diseases and its influence on activities of daily living of the elderly rural China. Hebei United University, Tangshan (2014)
Lv, Y., Li, S., Ni, Z.Z.: The status of chronic conditions among the elderly and the influencing factors related to ADL of old people. J. Acta Universitatis Medicinalis Anhui (01), 29–32 (2001)
Hu, D., Chen, H., Jiang, Y.T., et al.: Service needs analysis of the institutional elderly based on daily living ability assessment. J. Health Econ. Res. 36(10), 55–57 (2019)
Feigenbaum, M.S., Pollock, M.L.: Prescription of resistance training for health and disease. J. Med. Sci. Sports Exerc. 31(1), 38–45 (1999)
Leng, Y.F., Hu, J.Q., Zhan, L.L., et al.: Application effect of resistance exercises in patients with rheumatoid arthritis: a systematic review. J. Chin. Nurs. Res. 34(17), 3041–3048 (2020)
Ren, J.D., Fan, Z.J., Huang, J.L.: An overview on digital human model technique and its application to ergonomic design of vehicles. J. Autom. Eng. (07), 647–651 (2006)
Dong, Y.M.: Study and realization of the training control system of a rehabilitation exoskeleton orthosis for lower limbs. Zhejiang University, Hangzhou (2008)
Bao, H.Q.: Design and optimization of the pressure sensor. Southeast University, Nanjing (2016)
Pang, W.Q., Yi, J.Y., Jia, S., et al.: Preparation and characteristics of flexible pressure film sensor. J. Electron. Compon. Mater. 39(12), 53–57+76 (2020)
Wu, D.J.: The importance of sample model in industrial design process. J. Zhejiang Bus. Technol. Inst. 8(01), 49–50 (2009)
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Bai, X., Ma, J., Dai, D. (2021). The Wearable Resistance Exercise Booster’s Design for the Elderly. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior. HCII 2021. Lecture Notes in Computer Science(), vol 12777. Springer, Cham. https://doi.org/10.1007/978-3-030-77817-0_7
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DOI: https://doi.org/10.1007/978-3-030-77817-0_7
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