Abstract
Population aging is a global reality, which can be characterized by morphological, psychological and functional changes. With the limitations resulting from the aging state, changes can occur in the performance of activities of daily living, such as decreased muscle strength, reduced bone mass, loss of flexibility and decreased capacity of the sensory system. Physiotherapy actively assists in the health promotion and prevention process, reducing the effects of the aging and improving the life quality. This paper has the objective of develop a movement monitoring device to assist in the rehabilitation of elderly people. The accelerometers or motion sensors, store data for long periods of time, providing information about the movement activities of the subjects over a desired period. These sensors are a useful tool in the assessment of physical activity. Through the data of accelerometer, it is possible to evaluate all type of physical activities. This is a pilot study composed by three steps: development, validation and application of the instrument. For the application and validation of this study, it was used a protocol of exercises, in order to capture the variations of the X, Y and Z axes of the accelerometers in each exercise. In the study, it was possible to identify the movements during the performance of the proposed protocol. Through he accelerometers position and the varying of his axes, it was possible to classify the exercises according to the number of repetitions and the time spent performing the exercise. In addition, it was possible to monitor remotely in real time by a physiotherapist. It is concluded that this device can assist in the management of elderly patients, assisting the health professional during the rehabilitation process.
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References
Siqueira FV, Facchini LA, Piccini RX et al (2007) Prevalência de quedas em idosos e fatores associados. Revista de Saúde Públicad 41:749–756
WHO (2005) Envelhecimento ativo: uma política de saúde
Mallmann DG, Galindo Neto NM, Sousa JC et al (2015) Health education as the main alternative to promote the health of the elderly. Ciência & Saúde Coletiva 20:1763–1772
BRASIL (2013) Ministério da Saúde. Diretrizes de atenção à reabilitação da pessoa com acidente vascular cerebral. Brasília (DF): Ministério da Saúde. http://bvsms.saude.gov.br
Cruz PKR, Vieira MA, Carneiro JA et al (2020) Difficulties of access to health services among non-institutionalized older adults: prevalence and associated factors Revista Brasileira de Geriatria e Gerontologia. 23:
Marques MR, Ribeiro ECC, Santana CS (2014) Aplicações e benefícios dos programas de Telessaúde e Telerreabilitação: uma revisão da literatura Revista Eletrônica de Comunicação. Informação e Inovação em Saúde. 8
Peel N, Russell T, Gray L (2011) Feasibility of using an in-home video conferencing system in geriatric rehabilitation. J Rehabil Med 43:364–366
Item-Glatthorn JF, Casartelli NC, Petrich-Munzinger J et al (2012) Validity of the intelligent device for energy expenditure and activity accelerometry system for quantitative gait analysis in patients with hip osteoarthritis. Arch Phys Med Rehabil 93:2090–2093
Knuth AG, Assunção MCF, Gonçalves H et al (2013) Methodological description of accelerometry for measuring physical activity in the 1993 and 2004 Pelotas (Brazil) birth cohorts. Cadernos de Saúde Pública 29:557–565
LSM6DS3 datasheet ST electronics. https://www.st.com/resource/en/datasheet/lsm6ds3.pdf
Cavalcante EL (2015) Plataforma Dinâmica de Avaliação Fisioterápica
Bourke AK, Ihlen EAF, Van de Ven P et al (2016) Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor. In: 2016 38th annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE, Orlando, FL, USA, pp 4881–4884
Jatesiktat P, Ang WT (2017) An elderly fall detection using a wrist-worn accelerometer and barometer. In: 2017 39th annual international conference of the IEEE engineering in medicine and biology society (EMBC). ISSN: 1558-4615, pp 125–130
Soaz C, Diepold K (2016) Step detection and parameterization for gait assessment using a single waist-worn accelerometer. IEEE Trans Biomed Eng 63:933–942
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For their support of National Council for the Improvement of Higher Education (CAPES) and National Council for Scientific and Technological Development (CNPq).
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Chaves Filho, A.C. et al. (2022). Geriatric Physiotherapy: A Telerehabilitation System for Identifying Therapeutic Exercises. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_144
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