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Decision support system for NMES treatments : a solution design

dc.contributor.authorFranco, Tiago
dc.date.accessioned2023-02-27T17:37:25Z
dc.date.available2023-02-27T17:37:25Z
dc.date.issued2022
dc.description.abstractThe 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFranco, 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 978-989-33-3436-2pt_PT
dc.identifier.doi10.23919/CISTI54924.2022.9820417
dc.identifier.isbn978-989-33-3436-2
dc.identifier.issn2166-0727
dc.identifier.urihttp://hdl.handle.net/10198/27267
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDecision support systempt_PT
dc.subjectNMESpt_PT
dc.subjectMuscle rehabilitation
dc.subjectArtificial intelligence
dc.subjectWearable sensors
dc.titleDecision support system for NMES treatments : a solution designpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.title17th Iberian Conference on Information Systems and Technologies (CISTI)pt_PT
person.familyNameFranco
person.givenNameTiago
person.identifierUAMm8moAAAAJ&hl
person.identifier.ciencia-id7F19-C649-5DD9
person.identifier.orcid0000-0001-8574-4380
person.identifier.scopus-author-id57223608236
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication77169a8f-77ce-4994-8310-3e3710e07520
relation.isAuthorOfPublication.latestForDiscovery77169a8f-77ce-4994-8310-3e3710e07520

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