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Publication
Decision support system for NMES treatments : a solution design
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Authors
Advisor(s)
Abstract(s)
The preservation of functional capacity in old age is associated with a more active and dignified life. Maintaining this capacity is not a trivial task; several diseases can make it difficult to practice regular physical exercises or make it unfeasible, such as knee osteoarthritis. Neuromuscular electrical stimulation (NMES) is a treatment for muscle rehabilitation positioned as an alternative. However, it is still unclear which electrostimulation configurations can produce the most effective treatment. The literature indicates that the difference in treatment depends on the intrinsic characteristics of the patients. In this scenario, a decision support system is designed to assist physiotherapists in data analyses to create a personalized treatment. The proposed treatment relies on a wearable system with an NMES actuator and biofeedback sensors. Thus, it is expected to adapt the NMES in real-time based on unique patient characteristics, such as muscle fatigue. In addition, the system architecture is designed for the treatment session to be carried out at the patient's home, reducing costs and providing more comfort.
Description
Keywords
Decision support system NMES Muscle rehabilitation Artificial intelligence Wearable sensors
Pedagogical Context
Citation
Franco, Tiago. (2022). Decision support system for NMES treatments : a solution design. 17th Iberian Conference on Information Systems and Technologies (CISTI). p. 1-4. 22 – 25 June 2022, Madrid, Spain ISBN 978-989-33-3436-2
Publisher
IEEE