Construction of Fuzzy-Classification Expert System in Cerebral Palsy for Learning Performance Facilitation

Ivanova, Malinka; Ilieva, Roumiana; Lu, Zhenli

doi:10.1007/978-3-030-52287-2_1

Cited by 2 publications

(1 citation statement)

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“…These databases store information from previous hospital visits, diagnoses and interventions, lab results, medical scans, and clinical narratives that can be used to assist clinicians with diagnoses and treatment decision-making [40]. The rationale behind the decision-making process in medical applications is a complicated process that encompasses a certain amount of uncertainty and ambiguity [41]. Fuzzy logic systems excel in dealing with ambiguous and imprecise data, which make them a common application for medical diagnosis systems.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach

et al. 2022

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In this paper, an autonomous exercise generation system based of fuzzy logic approach is presented. This work attempts to close a gap in the design of a completely autonomous robotic rehabilitation system that can recommend exercises to patients based on their data, such as shoulder range of motion (ROM) and muscle strength, from a pre-set library of exercises. The input parameters are fed into a system that uses Mamdani-style fuzzy logic rules to process them. In medical applications, the rationale behind decision making is a sophisticated process that involves a certain amount of uncertainty and ambiguity. In this instance, a fuzzy-logic-based system emerges as a viable option for dealing with the uncertainty. The system’s rules have been reviewed by a therapist to ensure that it adheres to the relevant healthcare standards. Moreover, the system has been tested with a series of test data and the results obtained ensures the proposed idea’s feasibility.

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Section: Introductionmentioning

confidence: 99%