Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones
Human gait analysis is used to indirectly monitor the rehabilitation of patients affected by diseases or to directly monitor patients under orthotic care. Visualization of gait patterns on the instrument are used to capture the data. In this study, we created a mobile application that serves as a wi...
- Autores:
-
Teknomo, Kardi
Estuar, Maria Regina
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/66565
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66565
http://bdigital.unal.edu.co/67593/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Decision Tree Analysis
Feature Selection
Gait Monitoring
Transtibial Amputees
Wireless Sensors
Análisis de árboles de decisión
Discapacitados
Monitores de paso
Selección de característica
Sensores inalámbricos.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| title |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| spellingShingle |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones 51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics Decision Tree Analysis Feature Selection Gait Monitoring Transtibial Amputees Wireless Sensors Análisis de árboles de decisión Discapacitados Monitores de paso Selección de característica Sensores inalámbricos. |
| title_short |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| title_full |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| title_fullStr |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| title_full_unstemmed |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| title_sort |
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones |
| dc.creator.fl_str_mv |
Teknomo, Kardi Estuar, Maria Regina |
| dc.contributor.author.spa.fl_str_mv |
Teknomo, Kardi Estuar, Maria Regina |
| dc.subject.ddc.spa.fl_str_mv |
51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics |
| topic |
51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics Decision Tree Analysis Feature Selection Gait Monitoring Transtibial Amputees Wireless Sensors Análisis de árboles de decisión Discapacitados Monitores de paso Selección de característica Sensores inalámbricos. |
| dc.subject.proposal.spa.fl_str_mv |
Decision Tree Analysis Feature Selection Gait Monitoring Transtibial Amputees Wireless Sensors Análisis de árboles de decisión Discapacitados Monitores de paso Selección de característica Sensores inalámbricos. |
| description |
Human gait analysis is used to indirectly monitor the rehabilitation of patients affected by diseases or to directly monitor patients under orthotic care. Visualization of gait patterns on the instrument are used to capture the data. In this study, we created a mobile application that serves as a wireless sensor to capture movement through a smartphone accelerometer. The application was used to collect gait data from two groups (able-bodied and unilateral transtibial amputees). Standard gait activities such as walking, running and climbing, including non-movement, sitting were captured, stored and analyzed. This paper discusses different visualization techniques that can be derived from accelerometer data. Removing gravity data, accelerometer data can be transformed into distribution data using periodicity; features were derived from histograms. Decision tree analysis shows that only three significant features are necessary to classify subject activity, namely: average of minimum peak values, student t-statistics of minimum peak values and mode of maximum peak values. We found that the amputee group had a higher acceleration and a lower skewness period between peaks of accelerations than the able-bodied group. |
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2014 |
| dc.date.issued.spa.fl_str_mv |
2014-07-01 |
| dc.date.accessioned.spa.fl_str_mv |
2019-07-03T02:23:05Z |
| dc.date.available.spa.fl_str_mv |
2019-07-03T02:23:05Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
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ISSN: 2389-8976 |
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https://repositorio.unal.edu.co/handle/unal/66565 |
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http://bdigital.unal.edu.co/67593/ |
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ISSN: 2389-8976 |
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https://repositorio.unal.edu.co/handle/unal/66565 http://bdigital.unal.edu.co/67593/ |
| dc.language.iso.spa.fl_str_mv |
spa |
| language |
spa |
| dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/estad/article/view/47951 |
| dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística Revista Colombiana de Estadística |
| dc.relation.references.spa.fl_str_mv |
Teknomo, Kardi and Estuar, Maria Regina (2014) Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones. Revista Colombiana de Estadística, 37 (2Spe). pp. 471-488. ISSN 2389-8976 |
| dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
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Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística |
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Universidad Nacional de Colombia |
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Teknomo, Kardidd74e428-70ac-4416-bd20-08b0e1c1e625300Estuar, Maria Regina439871fb-255b-4498-8447-dc2b991faf803002019-07-03T02:23:05Z2019-07-03T02:23:05Z2014-07-01ISSN: 2389-8976https://repositorio.unal.edu.co/handle/unal/66565http://bdigital.unal.edu.co/67593/Human gait analysis is used to indirectly monitor the rehabilitation of patients affected by diseases or to directly monitor patients under orthotic care. Visualization of gait patterns on the instrument are used to capture the data. In this study, we created a mobile application that serves as a wireless sensor to capture movement through a smartphone accelerometer. The application was used to collect gait data from two groups (able-bodied and unilateral transtibial amputees). Standard gait activities such as walking, running and climbing, including non-movement, sitting were captured, stored and analyzed. This paper discusses different visualization techniques that can be derived from accelerometer data. Removing gravity data, accelerometer data can be transformed into distribution data using periodicity; features were derived from histograms. Decision tree analysis shows that only three significant features are necessary to classify subject activity, namely: average of minimum peak values, student t-statistics of minimum peak values and mode of maximum peak values. We found that the amputee group had a higher acceleration and a lower skewness period between peaks of accelerations than the able-bodied group.Análisis del paso de humanos es usado como una manera indirecta de monitorear la rehabilitación de pacientes afectados por enfermedades o bajo el cuidado ortopédico. La visualización de patrones de paso se usa para captura de datos. En este estudio, se creó una aplicación móvil que sirve como un sensor inalámbrico para capturar el movimiento a través de un acelerómetro en un teléfono móvil. Se recolectaron datos de dos grupos (con y sin discapacidad tibial). Datos de actividades de paso estándar tales como caminar, correr y escalar, incluso moverse o sentarse fueron recogidos, grabados y analizados. Este artículo discute diferentes técnicas de visualizaciíon que fueron derivadas de estos datos de acelerómetro. Removiendo datos de gravedad, los datos del acelerómetro pueden ser transformados en datos de distribución usando periodicidad a partir de histogramas. Análisis del árbol de decisión muestra que sólo tres características significativas son necesarios para clasificar la actividad de los sujetos: promedio estadísticas t-student y moda de valores altos mínimos. Se encontró que el grupo de personas con discapacidad tibial tienen una aceleración alta, y un período de sesgo más bajo entre picos de aceleración que el grupo de no discapacitados.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadísticahttps://revistas.unal.edu.co/index.php/estad/article/view/47951Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de EstadísticaRevista Colombiana de EstadísticaTeknomo, Kardi and Estuar, Maria Regina (2014) Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones. Revista Colombiana de Estadística, 37 (2Spe). pp. 471-488. ISSN 2389-897651 Matemáticas / Mathematics31 Colecciones de estadística general / StatisticsDecision Tree AnalysisFeature SelectionGait MonitoringTranstibial AmputeesWireless SensorsAnálisis de árboles de decisiónDiscapacitadosMonitores de pasoSelección de característicaSensores inalámbricos.Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart PhonesArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL47951-237221-1-PB.pdfapplication/pdf1062383https://repositorio.unal.edu.co/bitstream/unal/66565/1/47951-237221-1-PB.pdf753911e3b618ec2f44f3c0957e6a10a4MD51THUMBNAIL47951-237221-1-PB.pdf.jpg47951-237221-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg5535https://repositorio.unal.edu.co/bitstream/unal/66565/2/47951-237221-1-PB.pdf.jpge192b65cf95d4966735808f0422868f9MD52unal/66565oai:repositorio.unal.edu.co:unal/665652023-05-25 23:03:12.975Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |