Towards MY smart and intuitive controlled LEG prosthesis
- Conditions
- transfemoral amputation, leg prosthesis, intuitive control, EMG, intention detectiontranfemorale amputatie, beenprothese, intuïtieve controle, EMG, intentie detectie
- Registration Number
- NL-OMON27197
- Lead Sponsor
- Roessingh Research and Development
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Other
- Sex
- Not specified
- Target Recruitment
- 70
Inclusion Criteria
Individuals without an amputation
In order to be eligible to participate in this study, a subject must meet all of the following criteria:
Exclusion Criteria
Individuals without an amputation:
A potential subject who meets any of the following criteria will be excluded from participation in this study:
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary study parameter is the misclassification rate of a classifier.<br /><br>The misclassification rate of the classifier that is based on biplor EMG and HD-EMG will be compared. In addition,<br>misclassification rates of classifiers developed with different techniques will also be compared.
- Secondary Outcome Measures
Name Time Method Secundary study parameters are:<br /><br>- The misclassification rate for unsupervised algorithms. Unsupervised algorithms will also be compared to supervised<br>algorithms. To determine the effect of repeated measurements on the robustness of the classifier.<br /><br>- The effect of additional sensor information on misclassification rate by using the raw IMU sensor data from the Xsens suit. This information is recorded during measurements anyway, as Xsens uses this information in their biomechanical model to<br>reconstruct movements.