Schizophrenia Detection Using Biomarkers from Electroencephalogram Signals

Abstract

Schizophrenia is an incurable neurological disorder that changes human being’s perception and behavior due to genetic and environmental factors. The objective of this study is to detect Schizophrenia using electroencephalogram signals as biomarker. In this work, two time-domain features, namely Higuchi Fractal Dimension and correlation from a pair of electrodes have been extracted. In addition, two time-domain statistical features i.e., mean and variance are also computed. Analysis has been carried out from each electrode to identify a set of potential electrodes for the detection of schizophrenia to reduce the computational complexity. The algorithm has been validated using leave-one-out strategy and the results obtained show an accuracy of 100%. Also the result has been validated with topographic maps of identified electrodes.

KEYWORDS:

• Biomarkers
• Biomedical signal processing
• Electroencephalography
• Feature extraction
• Neurology
• Schizophrenia

Additional information

Notes on contributors

Aarti Sharma

Aarti Sharma received her BTech degree in electronics engineering from Punjab Technical University, Jalandhar, India (2002), MTech degree in instrumentation from Sant Longowal Institute of Engineering and Technology, Longowal, India (2004), and is pursuing her doctoral degree from Amity University, Sec-125, Noida, India. Presently, she is working as assistant professor in the Department of Electronics and Communication Engineering, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India. Her current research includes biomedical signal processing.

Jaynendra Kumar Rai

J K Rai received his BE degree in electronics engineering from Shri Guru Gobind Singh College of Engineering and Technology, Nanded, India (1996), MTech degree in electronics engineering from Visvesvaraya Regional College of Engineering, Nagpur, India (1999) and doctoral degree from Motilal Nehru National Institute of Technology, Deemed University Allahabad (2011). Presently, he is working as professor in the Department of Electronics and Communication Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. He has published various papers in peer-reviewed international journals and conferences. His current research interests include medical image and signal processing, robotics, and communication engineering. Email: [email protected]

Ravi Prakash Tewari

Ravi Prakash Tewari received his BE degree in mechanical engineering from Madan Mohan Malaviya Engineering College, Gorakhpur, India, (1990), MTech (1993), and doctoral degree (1999) in biomedical engineering from Institute of Technology, Banaras Hindu University, Varanasi, India. Presently, he is working as an associate professor in the Department of Applied Mechanics, Motilal Nehru National Institute of Technology, Allahabad, India. He has published various papers in peer-reviewed international journals and conferences. He has attended and organized various workshops in the field of robotics and mechatronics. His current research interests include biomedical materials, biomechanics, and robotics. Email: [email protected]