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...
- 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
Summary: | 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 |
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