Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19

Ali ; Sohaib ; Hashmi ; Adeel ; Hamza ; Ali ; Hayat ; Umar ; Younis ; Hamza
Journal of Computing Theories and Applications 📅 2023 Vol 1, No 2 🔗 DOI: 10.33633/jcta.v1i2.9469 ★ 14 Sitasi
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder causing a decline in dopamine levels, impacting the peripheral nervous system and motor functions. Current detection methods often identify PD at advanced stages. This study addresses early-stage detection using handwriting analysis, specifically exploring the PaHaW dataset for pen pressure and stroke movement data. Evaluating online and offline features, the research employs pre-trained CNN models (VGG 19 and AlexNet) for offline datasets, achieving an overall accuracy of 0.53. For online datasets, velocity, and acceleration features are extracted and classified using Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), and recurrent neural networks (RNN), with GRU yielding the highest accuracy at 0.57. Notably, the convolution-based model C-Bi-GRU surpasses other architectures with a remarkable 0.75 accuracy, emphasizing its efficacy in early PD detection. These findings underscore the potential of handwriting analysis as a diagnostic tool for PD, contributing valuable insights for further research and development in medical diagnostics.
Keywords
Handwriting analysis; LSTM; Parkinson's disease; Medical diagnostics and machine learning; RNN
How to Cite

Ali, et al. (2023). Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19. Journal of Computing Theories and Applications, 1(2). https://doi.org/10.33633/jcta.v1i2.9469

Ali, Sohaib; Hashmi, Adeel; Hamza, Ali; Hayat, Umar; Younis, Hamza, "Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19," Journal of Computing Theories and Applications, vol. 1, no. 2, 2023.

Ali, Sohaib; Hashmi, Adeel; Hamza, Ali; Hayat, Umar; Younis, Hamza. "Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19." Journal of Computing Theories and Applications, vol. 1, no. 2, 2023.

Ali, Sohaib; Hashmi, Adeel; Hamza, Ali; Hayat, Umar; Younis, Hamza. "Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19." Journal of Computing Theories and Applications 1, no. 2 (2023).

Ali, et al. (2023) 'Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19', Journal of Computing Theories and Applications, 1(2). doi: 10.33633/jcta.v1i2.9469.

Ali, Sohaib; Hashmi, Adeel; Hamza, Ali; Hayat, Umar; Younis, Hamza. Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19. Journal of Computing Theories and Applications. 2023;1(2).

Artikel Terkait

A Composite Centrality Framework for Evacuation Planning in Meso-Scale Spatial Networks with Semi-Structured Connectivity

Santoso, Jaya; Muliyana, Ana; Saragih, Asido; Pakpahan, Ridho; Chrisinta, Debora

Sentence-Level Sentiment Analysis of Indonesian App Reviews Using IndoBERTweet

Aqiilah, Inge Najwa; Saptono, Ristu; Syaifuddin, Akhmad

A Systematic Review of Agentic AI in Healthcare: An Evidence-Informed Seven-Principle Framework

Prakash, Chandra; Sisodia, Avneesh ; Lind, Mary

A Systematic Literature Review of Robustness-Aware Batik Motif Classification: Acquisition Variability, Feature Representation, and Learning Models

Priyambodo, Aji; Isnanto, R. Rizal; Sanjaya, Ridwan

YOLOv9s with Region-Dispersion Channel Spatial Attention for Robust Chili Leaf Disease Detection

Hidayat, Miwan Kurniawan; Na'am, Jufriadif; Ernawan, Ferda

Understanding Statistical and Temporal Representations for Large-Scale IoT DDoS Detection Through Ablation-Driven Analysis

Wicaksono, Daniel Nomolas; Setiadi, De Rosal Ignatius Moses; Susanto, Ajib; Harkespan, Imanuel; Mohamed, Mohamad Afendee; Sambas, Aceng
Tren Sitasi Jurnal