Article

Diagnosis of Neurological Disorders Rehabilitation Using Effective Feature Elimination and LSTM-RNN Classifier

2023-09-18

Abstract excerpt

Neurological disorders affect bodily functions and there is a growing need for advanced solutions to offer therapeutic advice to patients. A framework using artificial intelligence and machine learning techniques has been proposed to address this. The proposed system employs a combination of RGB, inertial, and depth sensors data. The inertial signals have been filtered using a notch filter to obtain the optimal we...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1921c7ac-1a84-5766-a8c0-4fbac4bd241b
DOI: 10.21203/rs.3.rs-3337380/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Diagnosis of Neurological Disorders Rehabilitation Using Effective Feature Elimination and LSTM-RNN ClassifierDOI 10.21203/rs.3.rs-3337380/v1Read

sEMG signal-based portable hand and wrist integrated rehabilitation robot for hand dysfunctionSemantic proximity Read

A Multi-Attention Fusion Deep Network for Human Activity Recognition in Motor RehabilitationSemantic proximity Read

A Hybrid Method for Knee Injury Detection Systems Using Petri Net and LSTMSemantic proximity Read

An Approach to Detect Parkinson’s Disease Employing Pre-trained Deep Neural Network on Hypokinetic Dysarthria SymptomsSemantic proximity Read

Rehabilitation Assistance System for Limb Motor Function Based on Deep LearningSemantic proximity Read

An Unsupervised Approach to Identify Patient-Specific EMG Detector to Trigger Robot-Assisted TherapySemantic proximity Read

Improving Fast EMG Classification for Hand Gesture Recognition: A Comprehensive Analysis of Temporal, Spatial, and Algorithm Configurations for Healthy and Post-Stroke SubjectsSemantic proximity Read

Muscle Estimation using Stacked-LSTM Multivariate Regression ModelSemantic proximity Read

Sensor-Based Classification of Post-Stroke Motor Impairment Using Fugl-Meyer Lower Extremity ScoresSemantic proximity Read

Artificial Intelligence for automatic movement recognition: a network-based approachSemantic proximity Read

An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern RecognitionSemantic proximity Read

Attention-Based Spatio-Temporal GNNs and LLMs for Motor Function Assessment and Personalized Physiotherapy in Cerebral PalsySemantic proximity Read