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Article

A Sensor-Based Decision Support System for Transfemoral Socket Rectification

1
TWI-Hellas, 152 32 Halandri, Greece
2
KTH Royal Institute of Technology, 10044 Stockholm, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Simona M. Cristescu
Sensors 2021, 21(11), 3743; https://doi.org/10.3390/s21113743
Received: 20 April 2021 / Revised: 19 May 2021 / Accepted: 21 May 2021 / Published: 28 May 2021
(This article belongs to the Special Issue Increasing Prosthetic Comfort through Sensor Technology)
A decision support system (DSS) was developed that outputs suggestions for socket-rectification actions to the prosthetist, aiming at improving the fitness of transfemoral prosthetic socket design and reducing the time needed for the final socket design. For this purpose, the DSS employs a fuzzy-logic inference engine (IE) which combines a set of rectification rules with pressure measurements generated by sensors embedded in the socket, for deciding the rectification actions. The latter is then processed by an algorithm that receives, manipulates and modifies a 3D digital socket model as a triangle mesh formatted inside an STL file. The DSS results were validated and tested in an FEA simulation environment, by simulating and comparing the donning process among a good-fitting socket, a loose socket (poor-fit) and several rectified sockets produced by the proposed DSS. The simulation results indicate that volume reduction improves the pressure distribution over the stump. However, as the intensity of socket rectification increases, i.e., as volume reduction increases, high pressures appear in other parts of the socket which generate discomfort. Therefore, a trade-off is required between the amount of rectification and the balance of the pressure distributions experienced at the stump. View Full-Text
Keywords: transfemoral; prosthesis; socket rectification; pressure sensors; fuzzy-logic inference engine; FEA transfemoral; prosthesis; socket rectification; pressure sensors; fuzzy-logic inference engine; FEA
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MDPI and ACS Style

Karamousadakis, M.; Porichis, A.; Ottikkutti, S.; Chen, D.; Vartholomeos, P. A Sensor-Based Decision Support System for Transfemoral Socket Rectification. Sensors 2021, 21, 3743. https://doi.org/10.3390/s21113743

AMA Style

Karamousadakis M, Porichis A, Ottikkutti S, Chen D, Vartholomeos P. A Sensor-Based Decision Support System for Transfemoral Socket Rectification. Sensors. 2021; 21(11):3743. https://doi.org/10.3390/s21113743

Chicago/Turabian Style

Karamousadakis, Michalis, Antonis Porichis, Suranjan Ottikkutti, DeJiu Chen, and Panagiotis Vartholomeos. 2021. "A Sensor-Based Decision Support System for Transfemoral Socket Rectification" Sensors 21, no. 11: 3743. https://doi.org/10.3390/s21113743

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