eng Oriental Scientific Publishing Company Biomedical and Pharmacology Journal 0974-6242 2024-03-20 17 1 135 139 10.13005/bpj/2841 55362 article Mohd. Maroof Siddiqui 1 Mohd. Suhaib Kidwai 2 Geetika Srivastava 3 K. K. Singh 4 Piyush Charan 5 1College of Engineering, Dhofar University, Sultanate of Oman Integral University, India RMLA University, India Amity University, India, M.R. University, India This paper explores the application of digital signal processing (DSP) techniques in the examination of electroencephalogram (EEG) data. DSP encompasses a collection of mathematical algorithms designed to employ signals, such as EEG recordings, and finds application in diverse domains, including sleep medicine, neuroscience, and biomedical engineering. Employing DSP methods for EEG data analysis enables the extraction of pertinent insights from EEG signals, the identification of event-related patterns, and the enhancement of diagnostic and therapeutic practices across various disciplines. This article provides an overview of prevalent DSP methodologies employed in EEG signal processing, encompassing filtering, power spectral analysis, wavelet analysis, independent component analysis, and artifact removal. https://biomedpharmajournal.org/vol17no1/analysis-of-eeg-data-using-different-techniques-of-digital-signal-processing/ EEG Signals Low-Pass Filter Power Spectrum Density   Sleep Disorder