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Assessing gait variability from cellphone IMU placed in several locations: a feasibility study
- Source :
- Computer Methods in Biomechanics and Biomedical Engineering, Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2020, 23 (S1), pp.s1-s3. ⟨10.1080/10255842.2020.1811490⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- The objective of this feasibility study is to assess the feasibility and limitations of using a simple approach (peak detection algorithms) to detect steps and segment the walking motion into gait cycles or strides and thus compute gait variability as the standard deviation of stride time.
- Subjects :
- UNITES DE MESURE INERTIELLE
medicine.medical_specialty
Computer science
0206 medical engineering
Biomedical Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Bioengineering
02 engineering and technology
TELEPHONE PORTABLE
03 medical and health sciences
[SPI]Engineering Sciences [physics]
0302 clinical medicine
Physical medicine and rehabilitation
Gait (human)
Inertial measurement unit
DONNEES DE MOUVEMENT
ALGORITHME
MICROSYSTEMES ELECTROMECANIQUES
medicine
ALGORITHM
Treadmill
SMARTPHONE
TRAITEMENT DES DONNEES
CELLPHONE
030229 sport sciences
General Medicine
020601 biomedical engineering
INERTIAL MEASUREMENT UNITS (IMU)
SIGNAL
Computer Science Applications
Human-Computer Interaction
MEMS
Work (electrical)
MOTION DATA
Healthcare system
MOUVEMENT
Subjects
Details
- Language :
- English
- ISSN :
- 10255842 and 14768259
- Database :
- OpenAIRE
- Journal :
- Computer Methods in Biomechanics and Biomedical Engineering, Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2020, 23 (S1), pp.s1-s3. ⟨10.1080/10255842.2020.1811490⟩
- Accession number :
- edsair.doi.dedup.....6847373ed0ad68061267209d067e289f