Back to Search
Start Over
Automated gait event detection for a variety of locomotion tasks using a novel gyroscope-based algorithm
- Source :
- Gait & posture, 81, 102–108
- Publication Year :
- 2019
-
Abstract
- Background The robust identification of initial contact (IC) and toe-off (TO) events is a substantial task in mobile sensor-based gait analysis. Shank attached gyroscopes in combination with suitable algorithms for data processing can robustly and accurately complet this task for gait event detection. However, little research has considered gait detection algorithms that are applicable to different locomotion tasks. Research question Does a gait event detection algorithm for various locomotion tasks yield comparable estimation accuracies as approaches for individual tasks? Methods Thirteen males, equipped with a gyroscope attached to the right shank, volunteered to perform nine different locomotion tasks consisting of linear motions and motions with a change of direction. A rule-based algorithm for IC and TO events was developed based on the shank sagittal plane angular velocity. The algorithm was evaluated against events determined by vertical ground reaction forces, and absolute mean error, relative absolute mean error and Bland–Altman analysis assessed its accuracy. Results The average absolute mean error and relative absolute mean error were 11 ± 3 ms and 3.07 ± 1.33%, respectively, for IC and 29 ± 11 ms and 7.27 ± 2.92%, respectively, for TO. Alterations of the walking movement, such as turns and types of running, slightly reduced the accuracy of IC and TO detection. In comparison to previous methods, increased or comparable accuracies for both IC and TO detection are shown. Significance These results support the feasibility of a shank attached gyroscope for gait event detection in various locomotion tasks. A comprehensive algorithm that is applicable to different locomotion tasks has the advantage that not every movement must be modeled individually. Ultimately, this enlarges the use of mobile sensor-based gait analysis.
- Subjects :
- Adult
Male
Mean squared error
Computer science
Biophysics
Angular velocity
Turning conditions
law.invention
Toe-off
03 medical and health sciences
0302 clinical medicine
Gait (human)
law
medicine
Humans
Orthopedics and Sports Medicine
Ground reaction force
ddc:796
Initial contact
Gait
Rehabilitation
Gyroscope
030229 sport sciences
Sagittal plane
Rule-based algorithm
Biomechanical Phenomena
Task (computing)
medicine.anatomical_structure
Athletic & outdoor sports & games
Gait analysis
Linear movements
Wearable sensors
Female
Gait Analysis
Algorithm
030217 neurology & neurosurgery
Algorithms
Locomotion
Subjects
Details
- ISSN :
- 18792219 and 09666362
- Volume :
- 81
- Database :
- OpenAIRE
- Journal :
- Gaitposture
- Accession number :
- edsair.doi.dedup.....090aee03431d2faf609227072a5fa3b0