Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals

Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals

Abstract Hand recognition, the process of identifying or characterizing human hands in images or video streams, plays significant role in the biometrics, robotics, computer vision, and human-computer interaction. This technology relies on analyzing hand attributes such as shape, size, color, texture...

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Bibliographic Details
Main Authors: Ruth Keziah Mani, Balakrishnan Nagaraj
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Hand recognition
EMG signals
Bi-LSTM
Grey Wolf optimizer
Deep learning
Neuromuscular disorders
Online Access:https://doi.org/10.1038/s41598-025-03766-2
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https://doi.org/10.1038/s41598-025-03766-2

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