Dataset for gait analysis and assessment of fall risk for older adults

This article presents a five-part dataset for human gait analysis in a healthy older adult population (37 women and seven men; age 69.98 ± 8.57 years, body mass index 27.71 ± 4.57). Part 1 compromises demographic data for the 44 participants, along with the results of the Short Physical Performance...

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Autores:
Caicedo, Pablo E.
Rengifo, Carlos F.
Rodriguez, Luis E.
Sierra, Wilson A.
Gómez, Maria C.
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/3281
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/3281
https://repositorio.escuelaing.edu.co/
Palabra clave:
Caídas (Accidentes) en la vejez
Falls (Accidents) in old age
Locomoción humana
Human locomotion
Mecánica humana
Human mechanics
Ingeniería biomédica - Procesamiento de datos
Biomedical Engineering - Data Processing
Análisis de la marcha
Evaluación del riesgo de caída
Evaluación de movilidad orientada al rendimiento
Batería de rendimiento físico corto
Parámetros de marcha
Prueba de función motora
Gait analysis
Fall risk assessment
Performance oriented mobility assessment
POMA
Short physical performance battery
SPPB
Gait parameters
Motor function test
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
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dc.title.eng.fl_str_mv Dataset for gait analysis and assessment of fall risk for older adults
title Dataset for gait analysis and assessment of fall risk for older adults
spellingShingle Dataset for gait analysis and assessment of fall risk for older adults
Caídas (Accidentes) en la vejez
Falls (Accidents) in old age
Locomoción humana
Human locomotion
Mecánica humana
Human mechanics
Ingeniería biomédica - Procesamiento de datos
Biomedical Engineering - Data Processing
Análisis de la marcha
Evaluación del riesgo de caída
Evaluación de movilidad orientada al rendimiento
Batería de rendimiento físico corto
Parámetros de marcha
Prueba de función motora
Gait analysis
Fall risk assessment
Performance oriented mobility assessment
POMA
Short physical performance battery
SPPB
Gait parameters
Motor function test
title_short Dataset for gait analysis and assessment of fall risk for older adults
title_full Dataset for gait analysis and assessment of fall risk for older adults
title_fullStr Dataset for gait analysis and assessment of fall risk for older adults
title_full_unstemmed Dataset for gait analysis and assessment of fall risk for older adults
title_sort Dataset for gait analysis and assessment of fall risk for older adults
dc.creator.fl_str_mv Caicedo, Pablo E.
Rengifo, Carlos F.
Rodriguez, Luis E.
Sierra, Wilson A.
Gómez, Maria C.
dc.contributor.author.none.fl_str_mv Caicedo, Pablo E.
Rengifo, Carlos F.
Rodriguez, Luis E.
Sierra, Wilson A.
Gómez, Maria C.
dc.contributor.researchgroup.spa.fl_str_mv GiBiome
dc.subject.armarc.none.fl_str_mv Caídas (Accidentes) en la vejez
Falls (Accidents) in old age
Locomoción humana
Human locomotion
Mecánica humana
Human mechanics
Ingeniería biomédica - Procesamiento de datos
Biomedical Engineering - Data Processing
topic Caídas (Accidentes) en la vejez
Falls (Accidents) in old age
Locomoción humana
Human locomotion
Mecánica humana
Human mechanics
Ingeniería biomédica - Procesamiento de datos
Biomedical Engineering - Data Processing
Análisis de la marcha
Evaluación del riesgo de caída
Evaluación de movilidad orientada al rendimiento
Batería de rendimiento físico corto
Parámetros de marcha
Prueba de función motora
Gait analysis
Fall risk assessment
Performance oriented mobility assessment
POMA
Short physical performance battery
SPPB
Gait parameters
Motor function test
dc.subject.proposal.spa.fl_str_mv Análisis de la marcha
Evaluación del riesgo de caída
Evaluación de movilidad orientada al rendimiento
Batería de rendimiento físico corto
Parámetros de marcha
Prueba de función motora
dc.subject.proposal.eng.fl_str_mv Gait analysis
Fall risk assessment
Performance oriented mobility assessment
POMA
Short physical performance battery
SPPB
Gait parameters
Motor function test
description This article presents a five-part dataset for human gait analysis in a healthy older adult population (37 women and seven men; age 69.98 ± 8.57 years, body mass index 27.71 ± 4.57). Part 1 compromises demographic data for the 44 participants, along with the results of the Short Physical Performance Battery (SPPB) motor function test and the MiniMental State Examination (MMSE). We used the MMSE to ensure the participants could understand the experimental protocol instructions. Part 2 presents the anthropometric measurements of the participants. Part 3 shows the results for each item of the Gait component of the Performance Oriented Mobility Assessment (POMA-G). Part 4 contains five files per participant, storing motion-capture data for the lower limb in the Coordinate 3D (C3D) format. These files were generated using a Vicon motion analysis system, consisting of 24 reflective markers and seven cameras (Vantage V5) sampled at 100 Hz. Part 5 contains 26 gait parameters for each C3D file obtained using Nexus 2.9.3. The dataset is available in a Mendeley repository
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-11
dc.date.accessioned.none.fl_str_mv 2024-09-20T21:36:39Z
dc.date.available.none.fl_str_mv 2024-09-20T21:36:39Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.eissn.spa.fl_str_mv 2352-3409
dc.identifier.instname.spa.fl_str_mv Universidad Escuela Colombiana de Ingeniería Julio Garavito
dc.identifier.reponame.spa.fl_str_mv Repositorio Digital
dc.identifier.repourl.spa.fl_str_mv https://repositorio.escuelaing.edu.co/
url https://repositorio.escuelaing.edu.co/handle/001/3281
https://repositorio.escuelaing.edu.co/
identifier_str_mv 2352-3409
Universidad Escuela Colombiana de Ingeniería Julio Garavito
Repositorio Digital
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationedition.spa.fl_str_mv Vol. 33 (2020)
dc.relation.citationendpage.spa.fl_str_mv 6
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 33
dc.relation.ispartofjournal.eng.fl_str_mv Data in Brief
dc.relation.references.spa.fl_str_mv J.M. Guralnik, L. Ferrucci, E.M. Simonsick, M.E. Salive, R.B. Wallace, Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability, N. Engl. J. Med. (1995) https://doi.org/10.1056/ NEJM199503023320902.
M.E. Tinetti, Performance-oriented assessment of mobility problems in elderly patients, J. Am. Geriatr. Soc. 34 (1986) 119–126 https://doi.org/10.1111/j.1532-5415.1986.tb05480.x.
] M.F. Folstein, S.E. Folstein, P.R. McHugh, “Mini-mental state”, A practical method for grading the cognitive state of patients for the clinician, J. Psychiatr. Res. (1975) https://doi.org/10.1016/0022-3956(75)90026-6
F. Leboeuf, R. Baker, A. Barré, J. Reay, R. Jones, M. Sangeux, The conventional gait model, an open-source implementation that reproduces the past but prepares for the future, Gait Posture (2019) https://doi.org/10.1016/j.gaitpost.2019. 04.015
J. Cockcroft, Q. Louw, R. Baker, Proximal placement of lateral thigh skin markers reduces soft tissue artefact during normal gait using the conventional Gait model, Comput. Methods Biomech. Biomed. Engin. (2016) https://doi.org/10. 1080/10255842.2016.1157865
J.B. Dingwell, H.G. Kang, Differences between local and orbital dynamic stability during human walking, J. Biomech. Eng. 129 (2007) 586–593 https://doi.org/10.1115/1.2746383.
] M.A. Riley, R. Balasubramaniam, M.T. Turvey, Recurrence quantification analysis of postural fluctuations, Gait Posture 9 (1999) 65–78 https://doi.org/10.1016/S0966-6362(98)00044-7.
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dc.format.extent.spa.fl_str_mv 6 páginas
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dc.publisher.spa.fl_str_mv Elsevier
dc.publisher.place.spa.fl_str_mv S.L.
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institution Escuela Colombiana de Ingeniería Julio Garavito
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spelling Caicedo, Pablo E.18241d5fef266bb3be8efcae805fdef5Rengifo, Carlos F.ba2d49912cee5cf2c6c274b33874b1b0Rodriguez, Luis E.46ecb878a49c578c4a393a69a2209eadSierra, Wilson A.bbe20cd692d68556cd6e3c93f5ea70a1Gómez, Maria C.a7992426737422fe3b4b78f678ccdeafGiBiome2024-09-20T21:36:39Z2024-09-20T21:36:39Z2020-11https://repositorio.escuelaing.edu.co/handle/001/32812352-3409Universidad Escuela Colombiana de Ingeniería Julio GaravitoRepositorio Digitalhttps://repositorio.escuelaing.edu.co/This article presents a five-part dataset for human gait analysis in a healthy older adult population (37 women and seven men; age 69.98 ± 8.57 years, body mass index 27.71 ± 4.57). Part 1 compromises demographic data for the 44 participants, along with the results of the Short Physical Performance Battery (SPPB) motor function test and the MiniMental State Examination (MMSE). We used the MMSE to ensure the participants could understand the experimental protocol instructions. Part 2 presents the anthropometric measurements of the participants. Part 3 shows the results for each item of the Gait component of the Performance Oriented Mobility Assessment (POMA-G). Part 4 contains five files per participant, storing motion-capture data for the lower limb in the Coordinate 3D (C3D) format. These files were generated using a Vicon motion analysis system, consisting of 24 reflective markers and seven cameras (Vantage V5) sampled at 100 Hz. Part 5 contains 26 gait parameters for each C3D file obtained using Nexus 2.9.3. The dataset is available in a Mendeley repositoryEste artículo presenta un conjunto de datos de cinco partes para el análisis de la marcha humana en una población de adultos mayores sanos (37 mujeres y siete hombres; edad 69,98 ± 8,57 años, índice de masa corporal 27,71 ±4,57). La parte 1 compromete los datos demográficos de los 44 participantes, junto con los resultados de la prueba de función motora Short Physical Performance Battery (SPPB) y el MiniMental State Examination (MMSE). Usamos el MMSE para Asegúrese de que los participantes puedan comprender las instrucciones del protocolo experimental. La parte 2 presenta las medidas antropométricas de los participantes. La Parte 3 muestra los resultados de cada ítem del componente de Marcha de la Evaluación de Movilidad Orientada al Desempeño (POMA-G). La parte 4 contiene cinco archivos por participante, que almacenan datos de captura de movimiento. para el miembro inferior en el formato Coordinate 3D (C3D). Estos Los archivos se generaron utilizando un sistema de análisis de movimiento Vicon, que consta de 24 marcadores reflectantes y siete cámaras (Vantage V5) muestreadas a 100 Hz. La parte 5 contiene 26 parámetros de marcha para cada archivo C3D obtenido con Nexus 2.9.3. El El conjunto de datos está disponible en un repositorio de Mendeley.6 páginasapplication/pdfengElsevierS.L.https://www.sciencedirect.com/science/article/pii/S2352340920314323?via%3DihubDataset for gait analysis and assessment of fall risk for older adultsArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Vol. 33 (2020)6133Data in BriefJ.M. Guralnik, L. Ferrucci, E.M. Simonsick, M.E. Salive, R.B. Wallace, Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability, N. Engl. J. Med. (1995) https://doi.org/10.1056/ NEJM199503023320902.M.E. Tinetti, Performance-oriented assessment of mobility problems in elderly patients, J. Am. Geriatr. Soc. 34 (1986) 119–126 https://doi.org/10.1111/j.1532-5415.1986.tb05480.x.] M.F. Folstein, S.E. Folstein, P.R. McHugh, “Mini-mental state”, A practical method for grading the cognitive state of patients for the clinician, J. Psychiatr. Res. (1975) https://doi.org/10.1016/0022-3956(75)90026-6F. Leboeuf, R. Baker, A. Barré, J. Reay, R. Jones, M. Sangeux, The conventional gait model, an open-source implementation that reproduces the past but prepares for the future, Gait Posture (2019) https://doi.org/10.1016/j.gaitpost.2019. 04.015J. Cockcroft, Q. Louw, R. Baker, Proximal placement of lateral thigh skin markers reduces soft tissue artefact during normal gait using the conventional Gait model, Comput. Methods Biomech. Biomed. Engin. (2016) https://doi.org/10. 1080/10255842.2016.1157865J.B. Dingwell, H.G. Kang, Differences between local and orbital dynamic stability during human walking, J. Biomech. Eng. 129 (2007) 586–593 https://doi.org/10.1115/1.2746383.] M.A. Riley, R. Balasubramaniam, M.T. Turvey, Recurrence quantification analysis of postural fluctuations, Gait Posture 9 (1999) 65–78 https://doi.org/10.1016/S0966-6362(98)00044-7.info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCaídas (Accidentes) en la vejezFalls (Accidents) in old ageLocomoción humanaHuman locomotionMecánica humanaHuman mechanicsIngeniería biomédica - Procesamiento de datosBiomedical Engineering - Data ProcessingAnálisis de la marchaEvaluación del riesgo de caídaEvaluación de movilidad orientada al rendimientoBatería de rendimiento físico cortoParámetros de marchaPrueba de función motoraGait analysisFall risk assessmentPerformance oriented mobility assessmentPOMAShort physical performance batterySPPBGait parametersMotor function testTEXTDataset for gait analysis and assessment of fall.pdf.txtDataset for gait analysis and assessment of fall.pdf.txtExtracted texttext/plain15064https://repositorio.escuelaing.edu.co/bitstream/001/3281/4/Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.pdf.txte58d70cef06c58510ebaa6e951af8e49MD54metadata only accessTHUMBNAILPortada Dataset for gait analysis and assessment of fall.JPGPortada Dataset for gait analysis and assessment of fall.JPGimage/jpeg61939https://repositorio.escuelaing.edu.co/bitstream/001/3281/3/Portada%20Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.JPG226e5e21c43fad612ab441f2e3d3516bMD53open accessDataset for gait analysis and assessment of fall.pdf.jpgDataset for gait analysis and assessment of fall.pdf.jpgGenerated Thumbnailimage/jpeg11817https://repositorio.escuelaing.edu.co/bitstream/001/3281/5/Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.pdf.jpgc75d9fc37945df084c5019f769ceb2e5MD55metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81881https://repositorio.escuelaing.edu.co/bitstream/001/3281/2/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD52open accessORIGINALDataset for gait analysis and assessment of fall.pdfDataset for gait analysis and assessment of fall.pdfapplication/pdf538701https://repositorio.escuelaing.edu.co/bitstream/001/3281/1/Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.pdf5bc348a2eecb0fac9be9d760277083efMD51metadata only access001/3281oai:repositorio.escuelaing.edu.co:001/32812024-09-21 03:02:00.572metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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