Javascript must be enabled for the correct page display

Design of a measuring device for knee joint angle as part of a pain-relearning therapy for arthroplasty-patients

Merkle, Christopher (2022) Design of a measuring device for knee joint angle as part of a pain-relearning therapy for arthroplasty-patients. Master's Thesis / Essay, Biomedical Engineering.

[img]
Preview
Text
mBME_2022_MerkleC.pdf

Download (3MB) | Preview
[img] Text
toestemming.pdf
Restricted to Registered users only

Download (124kB)

Abstract

This thesis focussed on finding a sensor that is best for detecting knee angle and then acquiring data and testing if the concept is able to detect compensatory movements for patients after total knee arthroplasty. It does so since it was found that the rehabilitation progress is impaired by compensatory movements. A concept involving two inertial measuring units was used to acquire data from the thigh and shank. Pre-processing involved windowing each squat via the thigh-sensor’s pitch signal, extracting inner-signal and inter-signal features for each squat-interval, selecting the best features, and classifying each squat. Data analysis was determined by the two possible applications, namely the same-patient case and different-patient. One analysis was done on all 10 labels and one on a downsampled subset that only entailed squat- and non-squat label. The first objective of finding a sensor was achieved. The second objective was not reached for 10 labels, but reached for distinguishing non-squat/squat. A limitation is that the algorithm is optimized to give only retrospective not within-execution feedback for entire not partial squats. A possible alternative could be trajectory-based feedback. Later, the results of this thesis could possibly be used for implementation within a serious-gaming environment that combines feedback and motivation for movement execution. Further research could also focus on the generalizability of the shown approach onto other task executions.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Wilhelm, E. and Timmerman, H.
Degree programme: Biomedical Engineering
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 04 Jul 2022 10:41
Last Modified: 04 Jul 2022 10:41
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/27588

Actions (login required)

View Item View Item