Towards MY smart and intuitive controlled LEG prosthesis: acquisition of electromyography for motion intention detectio

Recruitment & Eligibility

Status: Completed

Sex: Not specified

Target Recruitment: 80

Inclusion Criteria

Individuals without an amputation
- Aged 18 or above.
- Able to perform low to moderate vigorous physical activity for a duration of
3 hours including breaks. , Individuals with an amputation
- Aged 18 or above.
- Unilateral transfemoral amputation or knee disarticulation.
- Functional level from K2 to K4.
o Level 2: The patient has the ability or potential for ambulation with
the ability to traverse low
level environmental barriers such as curbs, stairs, or
uneven surfaces. Typical of the
community ambulator.
o Level 3: The patient has the ability or potential for ambulation with
variable cadence. Typical of
the community ambulatory who has the ability to traverse
most environmental
barriers and may have vocational, therapeutic, or
exercise activity that demands
prosthetic utilization beyond simple locomotion.
o Level 4: The patient has the ability or potential for prosthetic
ambulation that exceeds basic
ambulation skills, exhibiting high impact, stress, or
energy levels. Typical of the
prosthetic demands of the child, active adult, or
athlete.
- Able to perform low to moderate vigorous physical activity for a duration of
3 hours including breaks.
- At least one year after amputation.

Exclusion Criteria

Individuals without an amputation
- Not willing to consent to participate in the study.
- Musculoskeletal problems influencing walking ability., Individuals with an
amputation:
- Not willing to consent to participate in the study.
- Other musculoskeletal problems influencing walking ability.
- Stump problems/bad socket fitting

Study & Design

Study Type: Interventional

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The primary study parameter is the misclassification rate of a classifier.<br /><br>The misclssification rate of the classifier that is based on biplor EMG and<br /><br>HD-EMG will be compared. In addition, misclassification rates of classifiers<br /><br>developed with different techniques will also be compared. </p><br>

Secondary Outcome Measures

Name	Time	Method
<p>Secundary study parameters are:<br /><br>- The misclassification rate for unsupervised algorithms Unsupervised<br /><br>algorithms will also be compared to supervised algorithms. To determine - - The<br /><br>effect of repeated measurements on the robustness of the classifier and<br /><br>regressor<br /><br>- The effect of additional sensor information on misclassification rate by<br /><br>using the raw IMU sensor data from the Xsens suit. This information is recorded<br /><br>during measurements anyway, as Xsens uses this information in their<br /><br>biomechanical model to reconstruct movements.<br /><br>- The effect of prosthesis type on the robustness of the classifier</p><br>

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