Abstract
The remote control of the physical activities of elderly people during their daily activities to protect them against falls. Physiological parameters monitoring becomes one of the research challenges for the development of real-time survival systems for elderly patients to ensure a healthy life. In this paper, we propose a real-time plantar pressure monitoring system using a smart shoe insole. In this system two applications are developed to monitor the patient, we develop a mobile application and a web application. The patient will use the mobile application for the real-time reception of his plantar pressure where all his gate cycle over time is saved on a database (Firebase) and restored to a Web application used by the doctor for efficient monitoring of the patient, this application authorizes the doctor to control and analyze the medical file patients. The results of the proposed architecture demonstrate the efficiency of the system to control and detect bad plantar pressure.
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References
Belkacem, A.N., et al.: Brain computer interfaces for improving the quality of life of older adults and elderly patients. Front. Neurosci. 14, 692 (2020)
Sibley, K.M., et al.: Chronic disease and falls in community-dwelling Canadians over 65 years old: a population-based study exploring associations with number and pattern of chronic conditions. BMC Geriatr. 14(1), 22 (2014)
Alexander, B.H., Rivara, F.P., Wolf, M.E.: The cost and frequency of hospitalization for fall-related injuries in older adults. Am. J. Public Health 82(7), 1020–1023 (1992)
Sterling, D.A., O’Connor, J.A., Bonadies, J.: Geriatric falls: injury severity is high and disproportionate to mechanism. J. Trauma Inj. Infect. Crit. Care 50(1), 116–119 (2001)
Burns, E., Kakara, R.: Deaths from falls among persons aged 65 years–United States, 2007–2016. Morb. Mortal. Wkly Rep. 67(18), 509 (2018)
Garcés-Gómez, Y.A., et al.: Fall risk in the aging population: fall prevention using smartphones technology and multiscale sample entropy. TELKOMNIKA 18(6), 3058–3066 (2020)
Fini, N.A., Holland, A.E., Keating, J., Simek, J., Bernhardt, J.: How is physical activity monitored in people following stroke? Disabil. Rehabil. 37(19), 1717–1731 (2015)
Freedson, P.S., Miller, K.: Objective monitoring of physical activity using motion sensors and heart rate. Res. Q. Exerc. Sport 71(sup2), 21–29 (2000)
Mudge, S., Stott, N.S.: Timed walking tests correlate with daily step activity in persons with stroke. Arch. Phys. Med. Rehabil. 90(2), 296–301 (2009)
Sirard, J.R., Pate, R.R.: Physical activity assessment in children and adolescents. Sports Med. 31(6), 439–454 (2001)
Hergenroeder, A.L., Gibbs, B.B., Kotlarczyk, M.P., Perera, S., Kowalsky, R.J., Brach, J.S.: Accuracy and acceptability of commercial-grade physical activity monitors in older adults. J. Aging Phys. Act. 27(2), 222–229 (2019)
Hegde, N., Bries, M., Swibas, T., Melanson, E., Sazonov, E.: Automatic recognition of activities of daily living utilizing insole-based and wrist-worn wearable sensors. IEEE J. Biomedical Health Inform. 22(4), 979–988 (2018)
Lopez-Meyer, P., Fulk, G.D., Sazonov, E.S.: Automatic detection of temporal gait parameters in poststroke individuals. IEEE Trans. Inf. Technol. Biomed. 15(4), 594–601 (2011)
Klimiec, E., Jasiewicz, B., Piekarski, J., Zaraska, K., Guzdek, P., Koaszczyski, G: Measuring of foot plantar pressure possible applications in quantitative analysis of human body mobility (2017)
Shu, L., Hua, T., Wang, Y., Li, Q., Feng, D.D., Tao, X.: In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array. IEEE Trans. Inf. Technol. Biomed. 14(3), 767–775 (2010)
Saidani, S., Haddad, R., Mezghani, N., et al.: A survey on smart shoe insole systems. In: 2018 International Conference on Smart Communications and Networking (SmartNets), pp. 1–6. IEEE (2018)
Cerda, A.L.: Manejo del transtorno de marcha en adulto mayor. Médica Clínica Las Condes, vol. 25, pp. 265–275 (2014)
Shu, L., Hua, T., Wang, Y., Li, Q., Feng, D.D., Tao, X.: In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array. IEEE Trans. Inf Technol. Biomed. 14(3), 767–775 (2010)
Spender, A., et al.: Wearables and the Internet of Things (2018)
Concepts, T., Pitaugier, F.: Dynafoot 2. Techno Concepts (2015)
Ramanathan, A.K., et al.: Repeatability of the Pedar-X in-shoe pressure measuring system. Foot Ankle Surg. 16(2), 70–73 (2010)
Soames, R.W.: Foot pressure patterns during gait. J. Biomed. Eng. 7, 120–126 (1985)
Duckworth, T., Betts, R.P., Franks, C.I., Burke, J.: The measurement of pressures under the foot. Foot Ankle 3, 130–141 (1982)
Cavanagh, P.R., Hewitt Jr., F.G., Perry, J.E.: In-shoe plantar pressure measurement: a review. Foot 2(4), 185–194 (1992)
Stefanescu, D.M., Millea, A.: The place of ‘Force’ in several graphic representations of the international system of units (SI). Sen. Transducers 131(8), 1 (2011)
Deng, C., Tang, W., Liu, L., Chen, B., Li, M., Wang, Z.L.: Self-powered insole plantar pressure mapping system. Adv. Funct. Mater. 28(29), 1801606 (2018)
Zhao, S., Liu, R., Fei, C., Zia, A.W., Jing, L.: Center of pressure progression characteristics under the plantar region for elderly adults plantar pressure force measurement and analysis system. Plos ONE 15(8), e0237090 (2020)
Rana, N.K.: Application of force sensing resistor (FSR) in design of pressure scanning system for plantar pressure measurement. In: 2009 Second International Conference on Computer and Electrical Engineering, vol. 2, pp. 678–685. IEEE, December 2009
Chuckpaiwong, B., Nunley, J.A., Mall, N.A., Queen, R.M.: The effect of foot type on in-shoe plantar pressure during walking and running. Gait Posture 28(3), 405–411 (2008)
Badarinath, A.: A truly in-shoe force measurement system. Dissertation, Arizona State University (2018)
Sistema Biofoot/IBV, Instituto de Biomecanica de Valencia, Valencia, Spain (2012)
Dyer, P.S., Bamberg, S.J.M.: Instrumented insole vs. force plate: a comparison of center of plantar pressure. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC. IEEE (2011)
Sensor Medica. [Catalogue], Italy (2017). 42p
Pawlukiewicz, D.: Creating mobile apps with Thunkable. Forever F[r]ame, May 2018
Singh, V.: Introduction to FirebaseCoding Gurukul, December 2018
Acknowledgment
We are grateful for the support of the Department of Electrical and Computer Engineering at the New York University of Abu Dhabi (NYU). We would also like to thank SUP’COM’ students for their contribution to reaching these results.
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Saidani, S., Haddad, R., Bouallegue, R., Shubair, R. (2021). A New Proposal of a Smart Insole for the Monitoring of Elderly Patients. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-030-75075-6_22
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DOI: https://doi.org/10.1007/978-3-030-75075-6_22
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