Gait Analysis Using the Physics Toolbox App
Sensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physic...
- Autores:
-
Garcia Barrientos, Abel
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad del Atlántico
- Repositorio:
- Repositorio Uniatlantico
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniatlantico.edu.co:20.500.12834/968
- Acceso en línea:
- https://hdl.handle.net/20.500.12834/968
https://www.scopus.com/record/display.uri?eid=2-s2.0-85126318837&doi=10.1109%2fACCESS.2022.3158315&origin=inward&txGid=7f930d798d42c9ea7abe1d0294c4c5f7
- Palabra clave:
- Gait analyzer
accelerometers
non-invasive measurements
physics toolbox app
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc/4.0/
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Gait Analysis Using the Physics Toolbox App |
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Gait Analysis Using the Physics Toolbox App |
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Gait Analysis Using the Physics Toolbox App Gait analyzer accelerometers non-invasive measurements physics toolbox app |
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Gait Analysis Using the Physics Toolbox App |
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Gait Analysis Using the Physics Toolbox App |
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Gait Analysis Using the Physics Toolbox App |
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Gait Analysis Using the Physics Toolbox App |
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Gait Analysis Using the Physics Toolbox App |
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Garcia Barrientos, Abel |
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Garcia Barrientos, Abel |
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Balderas Navarro, Raul Macias Velasquez, Sharon Hoyo Montaño, Jose Antonio Garcia Ramírez, Mario Alberto Espejel Blanco, Daniel Plaza Castillo, Jairo |
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Gait analyzer accelerometers non-invasive measurements physics toolbox app |
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Gait analyzer accelerometers non-invasive measurements physics toolbox app |
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Sensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physics app for data acquisition and MATLAB was used for its analysis. This system analyses the behaviour of walking in people and its purpose is to diagnose any health problem caused by the human being's way of walking. For this, the g-force meter was used in x, y, and z components. This application uses inputs from the device's sensors to save and export the data in comma-separated values (CSV) format through a.csv extension. The results are very interesting because they can be used in medical diagnoses such as reduced gait speed and loss of regularity, symmetry, or synchronization of body movements. Since many organs are involved in gait, there are several types of gait disturbances that cause gait to be abnormal.With this system, it is possible to identify the hemiplegic gait, festinating gait, paraparhetic gait, waddling gait, among others. This analysis was carried out using the Pearson, Spearman, and Kendall correlation coef cients, which indicate the possible diagnoses in the patients. |
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2022 |
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2022-11-15T21:17:52Z |
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2022-11-15T21:17:52Z |
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2022-03-10 |
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2022-02-12 |
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A. Garcia-Barrientos et al., "Gait Analysis Using the Physics Toolbox App," in IEEE Access, vol. 10, pp. 31732-31739, 2022, doi: 10.1109/ACCESS.2022.3158315. |
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A. Garcia-Barrientos et al., "Gait Analysis Using the Physics Toolbox App," in IEEE Access, vol. 10, pp. 31732-31739, 2022, doi: 10.1109/ACCESS.2022.3158315. 10.1109/ACCESS.2022.3158315. Universidad del Atlántico Repositorio Universidad del Atlántico |
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Garcia Barrientos, Abel471c08b9-e633-4677-925f-c82c828b77c2Balderas Navarro, RaulMacias Velasquez, SharonHoyo Montaño, Jose AntonioGarcia Ramírez, Mario AlbertoEspejel Blanco, DanielPlaza Castillo, Jairo2022-11-15T21:17:52Z2022-11-15T21:17:52Z2022-03-102022-02-12A. Garcia-Barrientos et al., "Gait Analysis Using the Physics Toolbox App," in IEEE Access, vol. 10, pp. 31732-31739, 2022, doi: 10.1109/ACCESS.2022.3158315.https://hdl.handle.net/20.500.12834/96810.1109/ACCESS.2022.3158315.Universidad del AtlánticoRepositorio Universidad del Atlánticohttps://www.scopus.com/record/display.uri?eid=2-s2.0-85126318837&doi=10.1109%2fACCESS.2022.3158315&origin=inward&txGid=7f930d798d42c9ea7abe1d0294c4c5f7Sensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physics app for data acquisition and MATLAB was used for its analysis. This system analyses the behaviour of walking in people and its purpose is to diagnose any health problem caused by the human being's way of walking. For this, the g-force meter was used in x, y, and z components. This application uses inputs from the device's sensors to save and export the data in comma-separated values (CSV) format through a.csv extension. The results are very interesting because they can be used in medical diagnoses such as reduced gait speed and loss of regularity, symmetry, or synchronization of body movements. Since many organs are involved in gait, there are several types of gait disturbances that cause gait to be abnormal.With this system, it is possible to identify the hemiplegic gait, festinating gait, paraparhetic gait, waddling gait, among others. This analysis was carried out using the Pearson, Spearman, and Kendall correlation coef cients, which indicate the possible diagnoses in the patients.application/pdfenghttp://creativecommons.org/licenses/by-nc/4.0/Attribution-NonCommercial 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2IEEE AccessGait Analysis Using the Physics Toolbox AppPúblico generalGait analyzeraccelerometersnon-invasive measurementsphysics toolbox appinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1BarranquillaFísicaSede NorteC. M. Cali and D. P. Kiel, ``An epidemiologic study of fall-related fractures among institutionalized older people,'' J. Amer. Geriatrics Soc., vol. 43, no. 12, pp. 1336 1340, Dec. 1995.S. Handri, K. Nakamura, and S. Nomura, ``Gender and age classi cation based on pattern of human motion using choquet integral agent networks,'' J. 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Taylor, ``Validity and reliability of a smartphone app for gait and balance assessment,'' Sensors, vol. 22, no. 1, p. 124, Dec. 2021.http://purl.org/coar/resource_type/c_2df8fbb1ORIGINALGait_Analysis_Using_the_Physics_Toolbox_App.pdfGait_Analysis_Using_the_Physics_Toolbox_App.pdfapplication/pdf7093237https://repositorio.uniatlantico.edu.co/bitstream/20.500.12834/968/1/Gait_Analysis_Using_the_Physics_Toolbox_App.pdf0b77bf0aa415bd15d1882acd0bb7b6c7MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.uniatlantico.edu.co/bitstream/20.500.12834/968/2/license_rdf24013099e9e6abb1575dc6ce0855efd5MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81306https://repositorio.uniatlantico.edu.co/bitstream/20.500.12834/968/3/license.txt67e239713705720ef0b79c50b2ececcaMD5320.500.12834/968oai:repositorio.uniatlantico.edu.co:20.500.12834/9682022-11-15 16:17:53.313DSpace de la Universidad de Atlánticosysadmin@mail.uniatlantico.edu.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 |