NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern

Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early detection of anomalous gait patterns caused by neurodegenerative diseases can...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-09, Vol.53 (17), p.20034-20046
Hauptverfasser:	Faisal, Md. Ahasan Atick, Chowdhury, Muhammad E. H., Mahbub, Zaid Bin, Pedersen, Shona, Ahmed, Mosabber Uddin, Khandakar, Amith, Alhatou, Mohammed, Nabil, Mohammad, Ara, Iffat, Bhuiyan, Enamul Haque, Mahmud, Sakib, AbdulMoniem, Mohammed
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer architecture Computer Science Damage patterns Deep learning Gait Gait recognition Machine learning Machines Manufacturing Mechanical Engineering Neural networks Neurodegeneration Processes
Online-Zugang:	Volltext
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