Deep Learning Based Muscle Intent Classification in Continuous Passive Motion Machine for Knee Osteoarthritis Rehabilitation

Author(s):  
V. K. Viekash ◽  
Pramoth Arun ◽  
S. Manimozhi ◽  
Gaurav Devendra Nagotanekar ◽  
Ezhilarasi Deenadayalan
2015 ◽  
Vol 712 ◽  
pp. 93-97
Author(s):  
Renata Dwornicka ◽  
Ireneusz Dominik

The article presents the design of Continuous Passive Motion machine based on kinematic model of lower limb. The machines are used to prevent the stiffening of joints and allow recovering their full functionality after surgical interventions. The research conducted in rehabilitation centers states, that there is a necessity of using the CPM machines. The types of the machines that are currently used do not provide all the natural movements of a healthy organism, though. Such limitations concern not only motions in particular level, but also ranges of motions. There is a need to modernize already existing models, by introducing brand new functions or improving and re-constructing the functions already implemented. Such information resulted in designing a new solution of a CPM machine for the lower limb exercises.


2015 ◽  
Vol 759 ◽  
pp. 51-57
Author(s):  
Ireneusz Dominik ◽  
Renata Dwornicka

The paper contains a description of a research into selecting drives for prototype of Continuous Passive Motion machine. Designing and constructing automated rehabilitation devices aims to increase effectiveness as well as shorten the time of a therapy. Information drew from literature, market researches and interviews in Krakow’s rehabilitation centers enabled the assessment of changes that are necessary to improve the ongoing process of automation. The article focuses on problem of designing and appropriate location of drives in accordance with durability calculations. Additionally, designing the universal machine that would allow conducting the ankle, knee and hip joint motion simultaneously, involved proper choice of drives and planning their placement, so they would not disturb the therapy.


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