Dynamic Handwriting Analysis for Parkinson's Disease Identification using C-BiGRU Model

2020 ◽  
Author(s):  
Momina Moetesum ◽  
Imran Siddiqi ◽  
Farah Javed ◽  
Uzma Masroor
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Handwriting Analysis ◽  
Disease Identification

scholarly journals Intelligent Sensory Pen for Aiding in the Diagnosis of Parkinson’s Disease from Dynamic Handwriting Analysis

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5840 ◽  
Author(s):  
Eugênio Peixoto Júnior ◽  
Italo L. D. Delmiro ◽  
Naercio Magaia ◽  
Fernanda M. Maia ◽  
Mohammad Mehedi Hassan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Relevant Information ◽  
Handwriting Analysis ◽  
Disease Identification

In this paper, we propose a pen device capable of detecting specific features from dynamic handwriting tests for aiding on automatic Parkinson’s disease identification. The method used in this work uses machine learning to compare the raw signals from different sensors in the device coupled to a pen and extract relevant information such as tremors and hand acceleration to diagnose the patient clinically. Additionally, the datasets composed of raw signals from healthy and Parkinson’s disease patients acquired here are made available to further contribute to research related to this topic.

A recurrence plot-based approach for Parkinson’s disease identification

2019 ◽  
Vol 94 ◽  
pp. 282-292 ◽  
Author(s):  
Luis C.S. Afonso ◽  
Gustavo H. Rosa ◽  
Clayton R. Pereira ◽  
Silke A.T. Weber ◽  
Christian Hook ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Recurrence Plot ◽  
Disease Identification

Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson’s Disease

2017 ◽  
pp. 493-503 ◽  
Author(s):  
Claudio Loconsole ◽  
Gianpaolo Francesco Trotta ◽  
Antonio Brunetti ◽  
Joseph Trotta ◽  
Angelo Schiavone ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease ◽  
Handwriting Analysis

scholarly journals Meta-analysis of Parkinson's Disease: Identification of a novel locus, RIT2

2012 ◽  
Vol 71 (3) ◽  
pp. 370-384 ◽  
Author(s):  
Nathan Pankratz ◽  
Gary W. Beecham ◽  
Anita L. DeStefano ◽  
Ted M. Dawson ◽  
Kimberly F. Doheny ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Meta Analysis ◽  
Disease Identification
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