AI for the Detection of Neurological Condition: Parkinson's Disease & Emotions

Abhishek Jain*, Rohit Raja**
*-** Central University, Bilaspur, India.
Periodicity:January - June'2023


Artificial Intelligence (AI) is widely applied by many researchers in the measurement and analysis of signals and images in clinical medicine and the biological sciences. The role of machine learning in processing biomedical signals and its applications in medicine and healthcare is huge, and it is now in a very advanced stage. Several types of biomedical signals have been analyzed by using Deep Learning (DL), Neural Networks (NN), and Artificial Intelligence on Electrocardiogram (ECG) and Electroencephalogram (EEG) signals by many researchers. Parkinson's disease (PD) is a neurodegenerative disorder that progresses over time and is characterized by rigidity, tremor, postural instability, and non-motor symptoms caused by the loss of dopaminergic neurons in the substantia nigra. This paper analyses the current state of the art of EEG analysis using AI techniques for Parkinson's disease detection and emotion detection.


Artificial Intelligence (AI), EEG, Parkinson's Disease (PD), Emotion Detection.

How to Cite this Article?

Jain, A., and Raja, R. (2023). AI for the Detection of Neurological Condition: Parkinson's Disease & Emotions. i-manager’s Journal on Artificial Intelligence & Machine Learning, 1(1), 34-40.


[5]. Drissi, T. B., Zayrit, S., Nsiri, B., & Ammoummou, A. (2019). Diagnosis of Parkinson's disease based on wavelet transform and Mel frequency cepstral coefficients. International Journal of Advanced Computer Science and Applications, 10(3), 125-132.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Pdf 40 40 300
Online 40 40 300
Pdf & Online 40 40 300

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.