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LSTM-CNN: An efficient diagnostic network for Parkinson's disease
  utilizing dynamic handwriting analysis

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis

20 November 2023
Xuechao Wang
Junqing Huang
S. Nõmm
Marianna Chatzakou
Kadri Medijainen
A. Toomela
Michael Ruzhansky
ArXivPDFHTML

Papers citing "LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis"

3 / 3 papers shown
Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang
S. Nõmm
Junqing Huang
Kadri Medijainen
A. Toomela
Michael Ruzhansky
AAML
FAtt
26
0
0
04 May 2025
Evaluation of handwriting kinematics and pressure for differential
  diagnosis of Parkinson's disease
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
P. Drotár
Jirí Mekyska
I. Rektorová
L. Masarová
Z. Smékal
Marcos Faúndez-Zanuy
OOD
52
282
0
05 Nov 2024
Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease
  Detection with One-dimensional Convolutions and BiGRUs
Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
Moisés Díaz
Momina Moetesum
Imran Siddiqi
G. Vessio
23
78
0
23 Jan 2021
1