Diagnosis Parkinson’s Disease Using Neural Network and EEG Signals
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5504-2_20
Reference15 articles.
1. Willis, A.W., et al.: Incidence of Parkinson disease in North America. NPJ Park. Dis. 8(1), 170 (2022)
2. Latif, S., et al.: Dopamine in Parkinson’s disease. Clin. Chim. Acta 522, 114–126 (2021)
3. Vanegas, M.I., Ghilardi, M.F., Kelly, S.P., Blangero, A.: Machine learning for EEG-based biomarkers in Parkinson’s disease. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2661–2665. IEEE (2018)
4. De Oliveira, A.P.S., De Santana, M.A., Andrade, M.K.S., Gomes, J.C., Rodrigues, M.C.A., dos Santos, W.P.: Early diagnosis of Parkinson’s disease using EEG, machine learning and partial directed coherence. Res. Biomed. Eng. 36, 311–331 (2020)
5. Lee, S., Hussein, R., Ward, R., Wang, Z.J., McKeown, M.J.: A convolutional recurrent neural network approach to resting-state EEG classification in Parkinson’s disease. J. Neurosci. Methods 361, 109282 (2021)
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