A Real-Time Gait Event Detection for Lower Limb Prosthesis Control and Evaluation
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- MECH-57
- Type
- D - Journal article
- DOI
-
10.1109/TNSRE.2016.2636367
- Title of journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Article number
- -
- First page
- 1500
- Volume
- 25
- Issue
- 9
- ISSN
- 1534-4320
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
https://doi.org/10.1109/TNSRE.2016.2636367
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes an outcome of an EPSRC-funded project aiming to developing the next generation of lower limb prosthetics in collaboration with the world’s second largest prosthetic manufacturer. Wearable sensors are frequently used to assess parameters providing the means to establish an interactive control of the amputee-prosthesis-environment system. Gait events and gait phase detection of an amputee’s locomotion are vital for controlling prosthetics. A new approach to real-time gait event detection based on just using a single low-cost sensor with full validation is presented, which can also be used in the clinical setup for rehabilitation and patients’ assessment.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
