An Automated MDD Detection System based on Machine Learning Methods in Smart Connected Healthcare

• Published in: 2021 IEEE International Symposium on Smart Electronic Systems (iSES) pp. 27 - 32
• Main Authors: Sharma, Geetanjali, Joshi, Amit M., Pilli, Emmanuel S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2021
• Subjects: Automated detection system; Brain modeling; Computational modeling; Depression; Electroencephalography; Feature extraction; Feature Extraction and Selection; Internet of Medical Things (IoMT); Machine Learning; Major Depression Disorder; Regression tree analysis; Smart Healthcare; Support vector machines

Electroencephalography (EEG)-based depression detection in the early stage is a very challenging and important research area in artificial intelligence as it can save the lives of several people. This paper presents EEG-based machine learning models involving 30 healthy subjects and 33 major depress...