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...

Full description

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

id	ESCUELAIG2_d4d21927754998a1bc58e11b938ac84b
oai_identifier_str	oai:repositorio.escuelaing.edu.co:001/3281
network_acronym_str	ESCUELAIG2
network_name_str	Repositorio Institucional ECI
repository_id_str
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
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv	Text
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/article
format	http://purl.org/coar/resource_type/c_6501
status_str	publishedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.escuelaing.edu.co/handle/001/3281
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.
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_14cb
dc.rights.accessrights.spa.fl_str_mv	info:eu-repo/semantics/closedAccess
eu_rights_str_mv	closedAccess
rights_invalid_str_mv	http://purl.org/coar/access_right/c_14cb
dc.format.extent.spa.fl_str_mv	6 páginas
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.publisher.spa.fl_str_mv	Elsevier
dc.publisher.place.spa.fl_str_mv	S.L.
dc.source.spa.fl_str_mv	https://www.sciencedirect.com/science/article/pii/S2352340920314323?via%3Dihub
institution	Escuela Colombiana de Ingeniería Julio Garavito
bitstream.url.fl_str_mv	https://repositorio.escuelaing.edu.co/bitstream/001/3281/4/Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.pdf.txt https://repositorio.escuelaing.edu.co/bitstream/001/3281/3/Portada%20Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.JPG https://repositorio.escuelaing.edu.co/bitstream/001/3281/5/Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.pdf.jpg https://repositorio.escuelaing.edu.co/bitstream/001/3281/2/license.txt https://repositorio.escuelaing.edu.co/bitstream/001/3281/1/Dataset%20for%20gait%20analysis%20and%20assessment%20of%20fall.pdf
bitstream.checksum.fl_str_mv	e58d70cef06c58510ebaa6e951af8e49 226e5e21c43fad612ab441f2e3d3516b c75d9fc37945df084c5019f769ceb2e5 5a7ca94c2e5326ee169f979d71d0f06e 5bc348a2eecb0fac9be9d760277083ef
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio Escuela Colombiana de Ingeniería Julio Garavito
repository.mail.fl_str_mv	repositorio.eci@escuelaing.edu.co
_version_	1814355628229918720
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.coU0kgVVNURUQgSEFDRSBQQVJURSBERUwgR1JVUE8gREUgUEFSRVMgRVZBTFVBRE9SRVMgREUgTEEgQ09MRUNDScOTTiAiUEVFUiBSRVZJRVciLCBPTUlUQSBFU1RBIExJQ0VOQ0lBLgoKQXV0b3Jpem8gYSBsYSBFc2N1ZWxhIENvbG9tYmlhbmEgZGUgSW5nZW5pZXLDrWEgSnVsaW8gR2FyYXZpdG8gcGFyYSBwdWJsaWNhciBlbCB0cmFiYWpvIGRlIGdyYWRvLCBhcnTDrWN1bG8sIHZpZGVvLCAKY29uZmVyZW5jaWEsIGxpYnJvLCBpbWFnZW4sIGZvdG9ncmFmw61hLCBhdWRpbywgcHJlc2VudGFjacOzbiB1IG90cm8gKGVuICAgIGFkZWxhbnRlIGRvY3VtZW50bykgcXVlIGVuIGxhIGZlY2hhIAplbnRyZWdvIGVuIGZvcm1hdG8gZGlnaXRhbCwgeSBsZSBwZXJtaXRvIGRlIGZvcm1hIGluZGVmaW5pZGEgcXVlIGxvIHB1YmxpcXVlIGVuIGVsIHJlcG9zaXRvcmlvIGluc3RpdHVjaW9uYWwsIAplbiBsb3MgdMOpcm1pbm9zIGVzdGFibGVjaWRvcyBlbiBsYSBMZXkgMjMgZGUgMTk4MiwgbGEgTGV5IDQ0IGRlIDE5OTMsIHkgZGVtw6FzIGxleWVzIHkganVyaXNwcnVkZW5jaWEgdmlnZW50ZQphbCByZXNwZWN0bywgcGFyYSBmaW5lcyBlZHVjYXRpdm9zIHkgbm8gbHVjcmF0aXZvcy4gRXN0YSBhdXRvcml6YWNpw7NuIGVzIHbDoWxpZGEgcGFyYSBsYXMgZmFjdWx0YWRlcyB5IGRlcmVjaG9zIGRlIAp1c28gc29icmUgbGEgb2JyYSBlbiBmb3JtYXRvIGRpZ2l0YWwsIGVsZWN0csOzbmljbywgdmlydHVhbDsgeSBwYXJhIHVzb3MgZW4gcmVkZXMsIGludGVybmV0LCBleHRyYW5ldCwgeSBjdWFscXVpZXIgCmZvcm1hdG8gbyBtZWRpbyBjb25vY2lkbyBvIHBvciBjb25vY2VyLgpFbiBtaSBjYWxpZGFkIGRlIGF1dG9yLCBleHByZXNvIHF1ZSBlbCBkb2N1bWVudG8gb2JqZXRvIGRlIGxhIHByZXNlbnRlIGF1dG9yaXphY2nDs24gZXMgb3JpZ2luYWwgeSBsbyBlbGFib3LDqSBzaW4gCnF1ZWJyYW50YXIgbmkgc3VwbGFudGFyIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBkZSB0ZXJjZXJvcy4gUG9yIGxvIHRhbnRvLCBlcyBkZSBtaSBleGNsdXNpdmEgYXV0b3LDrWEgeSwgZW4gY29uc2VjdWVuY2lhLCAKdGVuZ28gbGEgdGl0dWxhcmlkYWQgc29icmUgw6lsLiBFbiBjYXNvIGRlIHF1ZWphIG8gYWNjacOzbiBwb3IgcGFydGUgZGUgdW4gdGVyY2VybyByZWZlcmVudGUgYSBsb3MgZGVyZWNob3MgZGUgYXV0b3Igc29icmUgCmVsIGRvY3VtZW50byBlbiBjdWVzdGnDs24sIGFzdW1pcsOpIGxhIHJlc3BvbnNhYmlsaWRhZCB0b3RhbCB5IHNhbGRyw6kgZW4gZGVmZW5zYSBkZSBsb3MgZGVyZWNob3MgYXF1w60gYXV0b3JpemFkb3MuIEVzdG8gCnNpZ25pZmljYSBxdWUsIHBhcmEgdG9kb3MgbG9zIGVmZWN0b3MsIGxhIEVzY3VlbGEgYWN0w7phIGNvbW8gdW4gdGVyY2VybyBkZSBidWVuYSBmZS4KVG9kYSBwZXJzb25hIHF1ZSBjb25zdWx0ZSBlbCBSZXBvc2l0b3JpbyBJbnN0aXR1Y2lvbmFsIGRlIGxhIEVzY3VlbGEsIGVsIENhdMOhbG9nbyBlbiBsw61uZWEgdSBvdHJvIG1lZGlvIGVsZWN0csOzbmljbywgCnBvZHLDoSBjb3BpYXIgYXBhcnRlcyBkZWwgdGV4dG8sIGNvbiBlbCBjb21wcm9taXNvIGRlIGNpdGFyIHNpZW1wcmUgbGEgZnVlbnRlLCBsYSBjdWFsIGluY2x1eWUgZWwgdMOtdHVsbyBkZWwgdHJhYmFqbyB5IGVsIAphdXRvci5Fc3RhIGF1dG9yaXphY2nDs24gbm8gaW1wbGljYSByZW51bmNpYSBhIGxhIGZhY3VsdGFkIHF1ZSB0ZW5nbyBkZSBwdWJsaWNhciB0b3RhbCBvIHBhcmNpYWxtZW50ZSBsYSBvYnJhIGVuIG90cm9zIAptZWRpb3MuRXN0YSBhdXRvcml6YWNpw7NuIGVzdMOhIHJlc3BhbGRhZGEgcG9yIGxhcyBmaXJtYXMgZGVsIChsb3MpIGF1dG9yKGVzKSBkZWwgZG9jdW1lbnRvLiAKU8OtIGF1dG9yaXpvIChhbWJvcykK

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

Publicaciones similares