Flexible evaluation of electrotherapy treatments for learning purposes
Metadatos
Mostrar el registro completo del ítemAutor
Rueda, Antonio J.; Martínez Cruz, Carmen; Diaz-Fernández, Ángeles; Osuna-Pérez, María CatalinaEditorial
Elsevier
Materia
Fuzzy logic Electrotherapy Decision support systems
Fecha
2023Referencia bibliográfica
Antonio J. Rueda, Carmen Martínez-Cruz, Ángeles Díaz-Fernández, María Catalina Osuna-Pérez (2023). Flexible evaluation of electrotherapy treatments for learning purposes, Expert Systems with Applications, Volume 219, 119621, ISSN 0957-4174. https://doi.org/10.1016/j.eswa.2023.119621
Patrocinador
Junta de Andalucía, B-TIC-744-UGR20Resumen
Computers are extensively used for training and simulating tasks that are hazardous in a real-life situation or
require expensive, delicate or difficult to access equipment. In the present work we describe a system for the
assessment of clinical practices involving the use of electrotherapy. The existing variety of currents, electrical
parameters and electrode configurations make this a challenging subject for undergraduate physical therapy
students. Extensive training is required before they can treat real patients, since an incorrect practice may
have no effect on the patient’s condition, or even worse, cause severe pain or burns. Our system, implemented
as a serious game, can facilitate this training, since the opportunity for supervised clinical practice with real
equipment is limited.
Our goal was to mimic the assessment of an electrotherapy treatment by an expert, by evaluating each of
its aspects in a flexible way, detecting and highlighting critical situations that can affect the patient’s integrity
and computing an overall score for the whole treatment. For this purpose, we have modeled the valid values of
each electrical parameter (frequency, pulse width, intensity, etc.) and the treatment time using fuzzy sets. We
also characterize the placement of the electrodes in the area of treatment through three geometric quantities
(orientation, distance to center and spacing) on which three fuzzy terms are defined (well oriented, centered
and well distributed). For each of these variables we get partial scores that are finally aggregated into an
overall treatment score through a pessimistic exponential ordered weighted average operation. In order to
test the reliability of the system we conducted an experiment with a group of physical therapy students that
revealed a substantial agreement with a human expert.





