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[HTML][HTML] Survey of machine learning techniques in the analysis of EEG signals for Parkinson's disease: A systematic review
Background: Parkinson's disease (PD) affects 7–10 million people worldwide. Its diagnosis
is clinical and can be supported by image-based tests, which are expensive and not always …
is clinical and can be supported by image-based tests, which are expensive and not always …
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
H Zhao, J Cao, J ** coherence as a predictor of freezing of gait in patients with Parkinson's disease walking with wearable sensors
Freezing of Gait (FOG) is among the most debilitating symptoms of Parkinson's Disease
(PD), characterized by a sudden inability to generate effective step**. In preparation for …
(PD), characterized by a sudden inability to generate effective step**. In preparation for …
Artificial intelligence for brain disease diagnosis using electroencephalogram signals
S Shang, Y Shi, Y Zhang, M Liu, H Zhang… - Journal of Zhejiang …, 2024 - Springer
Brain signals refer to electrical signals or metabolic changes that occur as a consequence of
brain cell activity. Among the various non-invasive measurement methods …
brain cell activity. Among the various non-invasive measurement methods …