EEG Signal Enhancement and Spectrum Estimation Using Fourier Transform Magnitude Response Derivative Functions

Authors

  • Devulapalli Shyam Prasad
  • Srinivasa Rao Chanamallu Dept. of ECE, JNTU, Kakinada, Andhra Pradesh, India
  • Kodati Satya Prasad Dept. of ECE, JNTU, Kakinada, Andhra Pradesh, India

DOI:

https://doi.org/10.13052/jmm1550-4646.1824

Abstract

Electroencephalograph is an electrical field that produced by our brain without any interrupt. In this paper, I & II-order derivatives of the Magnitude Response Functions are proposed for EEG signal Enhancement. By using this concept the random noise existing in the Electroencephalograph (EEG) signals can be reduced. A simulated model is discussed to mix the random noise of varying frequency & magnitude with the EEG signals and finally remove the noise signal using I & II-order derivatives of the Magnitude Response Functions filtering approach. The model can be used as estimation and get rid of the tool of random as well as artifacts in EEG signal from multiple origins. This work also shows the magnitude spectrum and comparing with FT magnitude spectrum. The filter characteristics are determined on the basis of parameters such as Mean Square Error (RMSE), SNR, PSNR, Mean Absolute Error (MAE) & Normalized Correlation coefficient (NCC) and a good improvement is reported.

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Author Biographies

Devulapalli Shyam Prasad

Devulapalli Shyam Prasad is an Senior Assistant Professor working in CVR College of Engineering, Hyderabad and having 20 years of teaching experience. Doing research work in JNTUK, Kakinada. Specialization in Instrumentation and Control Systems. EMI Filters for Power Line Applications is the book published.

Srinivasa Rao Chanamallu, Dept. of ECE, JNTU, Kakinada, Andhra Pradesh, India

Dr. Srinivasa Rao Chanamallu Experienced Professor with a demonstrated history of working in the education management industry, Dept of ECE, University College of Engineering Vizianagaram, Jawaharlal Nehru technological university Kakinada, Vizianagaram, Andhra Pradesh. He is a fellow of IETE and member of CSI.

Kodati Satya Prasad, Dept. of ECE, JNTU, Kakinada, Andhra Pradesh, India

Prof. Kodati Satya Prasad experienced Professor with a demonstrated history of working in the education management industry. Skilled in Research, Digital Signal Processing, Teaching, Higher Education, and Curriculum Development. Strong education professional graduated from PNR ZP High School, kaja; JNTUCE, Anantapur, Guindy college, IIT Madras. Worked in different Institutions, REC Warangal, JNT University Kakinada, Hyderabad and Anantapur andd later in JNTUK. Member of Professional bodies and actively involved in the activities by becoming executive member.Authored four text books. Achieved different awards and effectively developed and implemented various methods and programs in college and University. After retirement from JNTUK service, performed duties as Pro VICE CHANCELLOR of Koneru Lakshmaiah Education Foundation (Deemed to be University). Presently working as Professor and Rector, Vignans Foundation of Science, Technology & Research, Guntur, A.P.

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Published

2021-11-16

Issue

Section

Enabling AI Technologies Towards Multimedia Data Analytics for Smart Healthcare