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2022 | OriginalPaper | Buchkapitel

Software for Physiotherapeutic Rehabilitation: A Study with Accelerometry

verfasst von : A. M. Conceição, M. C. P. Souza, L. P. G. Macedo, R. J. R. S. Lucena, A. V. M. Inocêncio, G. S. Marques, P. H. O. Silva, M. A. B. Rodrigues

Erschienen in: XXVII Brazilian Congress on Biomedical Engineering

Verlag: Springer International Publishing

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Abstract

Objective: The present study aimed to analyze, using accelerometry, movement patterns of activities performed during physical therapy rehabilitation in order to develop a software for physical therapy monitoring. The system is able to receive the accelerometry data through Bluetooth protocol, perform the processing to generate graphs in real time and store them in text files, in order to provide data for further analysis. Methods: This is an experimental, descriptive, cross-sectional work, with sample for convenience. The study was approved by the Research Ethics Committee (CEP) involving human beings from the Health Sciences Center of the Federal University of Pernambuco (CCS/UFPE) obtained the Advice Number: 3540474. In the study 10 healthy subjects aged between 20 and 40 years participated. For the development of the system was used Processing, which is an open source programming language based on JAVA. Processing contains computational tools ideal for the development of user interfaces as well as tools for processing and manipulating data from computer input and output devices. For the testing phase, the activities of sit/stand and walk were performed. The accelerometer was positioned on the lumbar spine of the participants. Results and discussion: According to the tests conducted the X and Z axes of the accelerometer were selected for analysis and these two satisfactory to identify the movements of sit/stand and walk of the volunteers. In this way, a limit value is determined that differentiates the sitting from the raised state. Thus, it was considered that the Z axis corresponds to the activity of sitting/getting up, whereas the X axis corresponds to the activity of walking. Conclusion: It was concluded in this study that the software developed is able to detect and monitor patterns of body movements through the oscillations captured by the accelerometers, suggesting that it can assist health professionals both in the assessment and in the physical therapy rehabilitation.

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Literatur
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Zurück zum Zitat Silva FG (2013) Reconhecimento de movimentos humanos utilizando um acelerômetro e inteligência computacional. Dissertação de mestrado, Escola Politécnica da Universidade de São Paulo, Programa de Pós-Graduação em Engenharia Elétrica, 105 p Silva FG (2013) Reconhecimento de movimentos humanos utilizando um acelerômetro e inteligência computacional. Dissertação de mestrado, Escola Politécnica da Universidade de São Paulo, Programa de Pós-Graduação em Engenharia Elétrica, 105 p
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Zurück zum Zitat Mello POB (2015) Arte e programação da linguagem Processing. Dissertação de mestrado, Universidade Católica de São Paulo—PUC-SP, Programa de pós-Graduação em Tecnologia e Design Digital, 137 p Mello POB (2015) Arte e programação da linguagem Processing. Dissertação de mestrado, Universidade Católica de São Paulo—PUC-SP, Programa de pós-Graduação em Tecnologia e Design Digital, 137 p
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Zurück zum Zitat Souza EC (2016) Programação no ensino de matemática utilizando Processing 2: Um estudo das relações formalizadas por alunos do ensino fundamental com baixo rendimento em matemática. Dissertação de mestrado, Faculdade de Ciências da Universidade Estadual Paulista—UNESP, Programa de Pós-Graduação em Educação para a Ciência, 189 p Souza EC (2016) Programação no ensino de matemática utilizando Processing 2: Um estudo das relações formalizadas por alunos do ensino fundamental com baixo rendimento em matemática. Dissertação de mestrado, Faculdade de Ciências da Universidade Estadual Paulista—UNESP, Programa de Pós-Graduação em Educação para a Ciência, 189 p
Metadaten
Titel
Software for Physiotherapeutic Rehabilitation: A Study with Accelerometry
verfasst von
A. M. Conceição
M. C. P. Souza
L. P. G. Macedo
R. J. R. S. Lucena
A. V. M. Inocêncio
G. S. Marques
P. H. O. Silva
M. A. B. Rodrigues
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-70601-2_135

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