GAN and LSTM-based collaborative tremor classification approach for next generation healthcare system.

Journal: Computers in biology and medicine
Published Date: Aug 4, 2025

Abstract

PURPOSE: To adopt different deep learning (DL) techniques for Essential tremor (ET) and Parkinson's tremor (PST) classification, a collaborative approach to address the misdiagnosis of healthy and PSD patients based on ET and PST's frequency patterns and severity.

Authors

  • Hetav Modi
    Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India. Electronic address: 19bce078@nirmauni.ac.in.
  • Jigna Hathaliya
    Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India. Electronic address: jigna.hathaliya@nirmauni.ac.in.
  • Rajesh Gupta
    Department of Medical Gastroenterology, Asian Institute of Gastroenterology, Hyderabad, 500 082, India.
  • Sudeep Tanwar
    Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India. sudeep.tanwar@nirmauni.ac.in.
  • Roman Danel
    VSTE, Institute of Technology and Business in České Budějovice, Czech Republic; VSB Technical University of Ostrava, Czech Republic. Electronic address: danel@rdanel.cz.
  • Hassan Fouad
    Applied Medical Science Department, Community College, King Saud University, P.O Box 11433, Riyadh, Saudi Arabia. Electronic address: menhfef@ksu.edu.sa.
  • Azza S Hassanein
    Biomedical Engineering Department, Faculty of Engineering, Helwan University, Cairo, 11792, Egypt. Electronic address: sa_azza@yahoo.com.

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