Investigations on Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis

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Year : 2025 | Volume : 13 | 03 | Page : –
    By

    Anmol Chaturvedi,

  • Ashish Raj,

  • Sunil Kumar Gupta,

  1. Research Scholar, Department of Electrical and Electronics Engineering, Poornima University, Jaipur, Rajasthan, India
  2. Associate Professor, Department of Electrical and Electronics Engineering, Poornima University, Jaipur, Rajasthan, India
  3. Professor, Department of Electrical and Electronics Engineering, Poornima University, Jaipur, Rajasthan, India

Abstract

This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, mechanical stability, and adaptability for wearable medical applications. By integrating PEDOT: PSS-coated electrodes into the BCI system, real-time EEG signal acquisition and processing for seizure detection are optimized. Advanced signal processing algorithms and machine learning models are incorporated to enhance the accuracy of seizure onset prediction and classification. Experimental results demonstrate that the use of PEDOT: PSS electrodes significantly reduces impedance, leading to clearer EEG signal acquisition, particularly in critical frequency bands related to epileptic activity. The proposed system achieves higher detection accuracy and reliability compared to conventional EEG setups.This paper also investigates the potential of PEDOT: PSS-based BCIs in controlling neurostimulation devices for seizure suppression, offering a closed-loop feedback system for real-time therapeutic intervention. The findings underscore the transformative role of PEDOT: PSS conductive polymers in advancing EEG-based BCIs, paving the way for more effective and accessible tools in epilepsy management. The research concludes with recommendations for clinical validation and potential adaptations for broader neurological applications. The research has been targeted to understand the application of polymer technology in improving brain computer interface and its application in biomedical applications.

Keywords: PEDOT: PSS, conductive polymers, EEG, brain-computer interface, seizure control, epilepsy management, signal processing, machine learning, neurostimulation, wearable medical devices, biocompatibility, impedance reduction, seizure detection, real-time EEG analysis, closed-loop feedback system.

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How to cite this article:
Anmol Chaturvedi, Ashish Raj, Sunil Kumar Gupta. Investigations on Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis. Journal of Polymer and Composites. 2025; 13(03):-.
How to cite this URL:
Anmol Chaturvedi, Ashish Raj, Sunil Kumar Gupta. Investigations on Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis. Journal of Polymer and Composites. 2025; 13(03):-. Available from: https://journals.stmjournals.com/jopc/article=2025/view=209701


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Ahead of Print Subscription Review Article
Volume 13
03
Received 30/11/2024
Accepted 21/01/2025
Published 10/04/2025
Publication Time 131 Days
Total Visits: 29


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