TY - JOUR
T1 - Implementation and assessment of an intelligent motor tele-rehabilitation platform
AU - Rybarczyk, Yves
AU - Medina, Jorge Luis Pérez
AU - Leconte, Louis
AU - Jimenes, Karina
AU - González, Mario
AU - Esparza, Danilo
N1 - This research was funded by REDCEDIA, grant number CEPRA XI-2017-15.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Over the past few years, software applications for medical assistance, including tele-rehabilitation, have known an increasing presence in the health arena. Despite the several therapeutic and economic advantages of this new paradigm, it is important to follow certain guidelines, in order to build a safe, useful, scalable, and ergonomic tool. This work proposes to address all these points, through the case study of a physical tele-rehabilitation platform for patients after hip replacement surgery. The scalability and versatility of the system is handled by the implementation of a modular architecture. The safeness and effectiveness of the tool is ensured by an artificial intelligence module that assesses the quality of the movements performed by the user. The usability of the application is evaluated by a cognitive walkthrough method. Results show that the system (i) is able to properly assess the correctness of the human’s motion through two possible methods (Dynamic Time Warping and Hidden Markov Model), and (ii) provides a good user experience. The discussion addresses (i) the advantages and disadvantages of the main approaches for a gesture recognition of therapeutic movements, and (ii) critical aspects to provide the patient with the best usability of a tele-rehabilitation platform.
AB - Over the past few years, software applications for medical assistance, including tele-rehabilitation, have known an increasing presence in the health arena. Despite the several therapeutic and economic advantages of this new paradigm, it is important to follow certain guidelines, in order to build a safe, useful, scalable, and ergonomic tool. This work proposes to address all these points, through the case study of a physical tele-rehabilitation platform for patients after hip replacement surgery. The scalability and versatility of the system is handled by the implementation of a modular architecture. The safeness and effectiveness of the tool is ensured by an artificial intelligence module that assesses the quality of the movements performed by the user. The usability of the application is evaluated by a cognitive walkthrough method. Results show that the system (i) is able to properly assess the correctness of the human’s motion through two possible methods (Dynamic Time Warping and Hidden Markov Model), and (ii) provides a good user experience. The discussion addresses (i) the advantages and disadvantages of the main approaches for a gesture recognition of therapeutic movements, and (ii) critical aspects to provide the patient with the best usability of a tele-rehabilitation platform.
KW - Dynamic time warping
KW - EHealth
KW - Gesture recognition
KW - Hidden Markov model
KW - Software engineering
KW - Usability
UR - http://www.scopus.com/inward/record.url?scp=85060234219&partnerID=8YFLogxK
U2 - 10.3390/electronics8010058
DO - 10.3390/electronics8010058
M3 - Article
AN - SCOPUS:85060234219
SN - 2079-9292
VL - 8
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
IS - 1
M1 - 58
ER -