Early Detection of Parkinson's Disease by Neural Network Models

• Published in: IEEE access Vol. 10; pp. 19033 - 19044
• Main Authors: Lin, Chin-Hsien, Wang, Fu-Cheng, Kuo, Tien-Yun, Huang, Po-Wei, Chen, Szu-Fu, Fu, Li-Chen
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biological neural networks; Biomedical materials; Convolutional neural networks; Data models; Diseases; Feature extraction; Gait; IMU; Inertial platforms; Inertial sensing devices; neural network; Neural networks; Older adults; Older people; Parkinson's disease; PD~stage

This paper develops neural network models that can recognize Parkinson's disease (PD) at its early stage. PD is a common neurodegenerative disorder that presents with progressive slow movement, tremor, limb rigidity, and gait alterations, including stooped posture, shuffling steps, festination,...