iSeizdiag: toward the framework development of epileptic seizure detection for healthcare.

Journal: Frontiers in computational neuroscience
Published Date:

Abstract

INTRODUCTION: The seizure episodes result from abnormal and excessive electrical discharges by a group of brain cells. EEG framework-based signal acquisition is the real-time module that records the electrical discharges produced by the brain cells. The electrical discharges are amplified and appear as a graph on electroencephalogram systems. Different neurological disorders are represented as different waves on EEG records.

Authors

  • Ashish Sharma
    Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.
  • Akshat Saxena
    Department of Electronics and Communication Engineering, Indian Institute of Information Technology Kota, Kota, India.
  • Mradul Agrawal
    Department of Electronics and Communication Engineering, Indian Institute of Information Technology Kota, Kota, India.
  • Kunal Kishor
    Department of Electronics and Communication Engineering, Indian Institute of Information Technology Kota, Kota, India.
  • Deepti Kaushik
    Department of Nursing, S R Goyal Government Hospital, SMS Medical College, Jaipur, India.
  • Prateek Jain
    Department of Electronics and Instrumentation Engineering, Nirma University, Ahmedabad, India.
  • Arvind R Yadav
    Department of Electronics and Instrumentation Engineering, Nirma University, Ahmedabad, India.
  • Manob Jyoti Saikia
    Electrical and Computer Engineering Department, University of Memphis, Memphis, TN, United States.

Keywords

No keywords available for this article.