4.7 Article

Exploiting variability in the design of genetic algorithms to generate telerehabilitation activities

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Optimal fuzzy logic-based control strategy for lower limb rehabilitation exoskeleton

Richa Sharma et al.

Summary: This study focuses on the development of a cost-effective lower limb exoskeleton for restoring normal gait in individuals with mobility disorders, stroke, or elderly persons. It uses the dragon fly algorithm to optimize the fuzzy logic control and compares it with genetic algorithm for closed-loop control design. Experimental data validation and robustness testing indicate the effectiveness of the proposed control strategies, especially in bipedal walking scenarios.

APPLIED SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Machine learning assistive application for users with speech disorders

Davide Mulfari et al.

Summary: This paper investigates the development of a speaker-dependent keyword spotting system for users with speech disorders, particularly those with dysarthria, using machine learning approaches. The study leverages deep learning technology and a convolutional neural network model to build a tailored ASR system. By introducing a mobile app for data collection, the research team has built the first database containing speech samples from Italian native users with dysarthria, showing promising results in early experiments.

APPLIED SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

Eneko Osaba et al.

Summary: This paper aims to provide a set of good practice recommendations for conducting studies on metaheuristics methods used for optimization, in order to ensure scientific rigor, value, and transparency. The authors introduce a step-by-step methodology covering every research phase, discussing often overlooked yet crucial aspects and useful recommendations.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Editorial Material Medicine, General & Internal

Physical Medicine and Rehabilitation: An Update for Internists Preface

David A. Lenrow

MEDICAL CLINICS OF NORTH AMERICA (2020)

Article Computer Science, Artificial Intelligence

Metaheuristic research: a comprehensive survey

Kashif Hussain et al.

ARTIFICIAL INTELLIGENCE REVIEW (2019)

Article Computer Science, Artificial Intelligence

Real-time multi-agent systems for telerehabilitation scenarios

Davide Calvaresi et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2019)

Article Computer Science, Interdisciplinary Applications

A method for analyzing inpatient care variability through physicians' orders

Matthew C. Lenert et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2019)

Article Computer Science, Artificial Intelligence

A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints

Lizhong Zhao et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2018)

Article Computer Science, Interdisciplinary Applications

A hybrid genetic algorithm with 2D encoding for the scheduling of rehabilitation patients

Nhat-To Huynh et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2018)

Article Chemistry, Analytical

Ambient Intelligence Environment for Home Cognitive Telerehabilitation

Miguel Oliver et al.

SENSORS (2018)

Editorial Material Computer Science, Software Engineering

Recent Advances in Healthcare Software Toward Context-Aware and Smart Solutions INTRODUCTION

Agusti Solanas et al.

IEEE SOFTWARE (2017)

Article Computer Science, Software Engineering

Healthy Routes in the Smart City A Context-Aware Mobile Recommender

Fran Casino et al.

IEEE SOFTWARE (2017)

Article Computer Science, Artificial Intelligence

A Multi-Agent System for Acquired Brain Injury rehabilitation in Ambient Intelligence environments

Cristina Roda et al.

NEUROCOMPUTING (2017)

Article Computer Science, Artificial Intelligence

On the robust PID adaptive controller for exoskeletons: A particle swarm optimization based approach

A. Belkadi et al.

APPLIED SOFT COMPUTING (2017)

Article Computer Science, Artificial Intelligence

Arm motion analysis using genetic algorithm for rehabilitation and healthcare

Takenori Obo et al.

APPLIED SOFT COMPUTING (2017)

Article Computer Science, Artificial Intelligence

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Seyedali Mirjalili

NEURAL COMPUTING & APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

An ACO-based personalized learning technique in support of people with acquired brain injury

Kamil Krynicki et al.

APPLIED SOFT COMPUTING (2016)

Article Computer Science, Artificial Intelligence

The fuzzy ontology reasoner fuzzyDL

Fernando Bobillo et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Computer Science, Software Engineering

Applying multiobjective evolutionary algorithms to dynamic software product lines for reconfiguring mobile applications

Gustavo G. Pascual et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2015)

Article Computer Science, Artificial Intelligence

Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic

Chuan-Jun Su et al.

APPLIED SOFT COMPUTING (2014)

Article Computer Science, Interdisciplinary Applications

A Kinect-based system for cognitive rehabilitation exercises monitoring

D. Gonzalez-Ortega et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)

Article Computer Science, Software Engineering

FeatureIDE: An extensible framework for feature-oriented software development

Thomas Thuema et al.

SCIENCE OF COMPUTER PROGRAMMING (2014)

Article Computer Science, Interdisciplinary Applications

Computer-aided relearning activity patterns for people with acquired brain injury

Francisco Montero et al.

COMPUTERS & EDUCATION (2011)

Article Engineering, Biomedical

Movement variability in stroke patients and controls performing two upper limb functional tasks: a new assessment methodology

Sibylle B. Thies et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2009)