Integrating control and feedback into a trans-femoral prosthesis

Completed

• Conditions: (bovenbeen) amputaties; missing upper leg; trans-femoral amputation

• Registration Number: NL-OMON34125
• Lead Sponsor: niversiteit Twente

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Last Update Posted: 6 May 2024

Recruitment & Eligibility

• Status: Completed
• Sex: Not specified
• Target Recruitment: 65

Inclusion Criteria

Healthy: no lower extrimity disorders
Trans-femoral amputees: can walk by themself with prosthesis

Exclusion Criteria

Healthy: neurodegenerative diseases, skin conditions legs, mental illnesses
Trans-femoral amputees: skin conditions stump, neurodegenerative diseases, mental illnesses

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>: Firstly, EMG measurements are used to design an algorithm which can detect<br /><br>the intention of the subject and timings of certain events during ADL (e,g,<br /><br>push-off during walking) to control a prosthesis. The algorithm is then tested<br /><br>and improved using healthy subjects and TFA. Secondly, feedback experiments<br /><br>will provide us with a method of giving feedback to the subject on the state of<br /><br>the prosthesis without conscious attention of the subject. Finally the<br /><br>optimalized EMG algorithm will be combined with the best functioning feedback<br /><br>modality to form a controlled TFP.</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>nvt.</p><br>