Whatever the hell this means. Notice their primary goal is completely wrong, NOT 100% RECOVERY!
Integrated-Regression and Whale Optimisation Algorithms to post stroke rehabilitation analysis: A case study for serious games
Publisher: IEEE
Abstract:
Stroke
is one of the leading causes of death and long-term disability
worldwide. The primary goal of post-stroke rehabilitation is to maximize
the independence of the affected individuals by facilitating both
neurological and compensatory functional recoveries in their daily
lives. This paper presents an integrated study, using multiple linear
regression (MLR) and whale optimization algorithm, for optimizing the
post-stroke rehabilitation performance using Medical Interactive
Rehabilitation Assistant (MIRA). MIRA is one of the serious games using
virtual reality. The research objective finding the best games settings
for MIRA. Analysis of variance and F-test were performed to justify the
goodness of fit of the developed mathematical models, as well as the
significance of the individual MIRA input settings of the games. Results
demonstrated that the developed MLR models for average acceleration and
distance were significant, with P=0.018 and P<0.000, respectively.
Data from 41 stroke patients revealed that the maximum muscle strength
that can be achieved was 2.56 cm/s
2
while the maximum distance was 104.83 cm. The results showed that all
patients outperformed the optimal average acceleration value by between
6% and 29%, whereas only two patients outperformed the optimal distance
value. The results from this study may be integrated using MIRA
(exergames) to guide therapists in finding the best combination of input
settings that can maximise the performance output of post-stroke
patients.
Published in: 2021 IEEE Symposium on Computers & Informatics (ISCI)
Date of Conference: 16-16 Oct. 2021
Date Added to IEEE Xplore: 08 December 2021
ISBN Information:
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