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Ambulatory EEG Data Management System for Home Care Epileptic Patients: A Design Approach

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  • Amol Pardhi

    (St. Vincent Pallotti College of Engineering and Technology, India, & Priyadarshini College of Engineering, India)

  • Suchita Varade

    (Priyadarshini College of Engineering, India)

Abstract

Epilepsy is an instance-based incident that occurs in a patient's behavior without prior intimation. However, it may be predicted through pre-seizure behavioral changes and that is the period when electroencephalogram (EEG) signals need to be recorded in case of the patient. Doctors or researchers may have the solution to record these EEG signals, but generating the seizure situation by any means or by provoking the patient is not an ethical practice. Doctors suggest therapy or treatment based on behavioral knowledge and without actual mental situations. The only solution to this is to encourage patients to wear EEG caps throughout their daily routine, and the system will record the signals during and before a seizure. This study is primarily to identifying the challenges in ambulatory EEG cap and proposing a feasible design with a proof-of-concept model. In this paper, suspension-based electrodes with better conductivity and software-driven secured EEG data sharing between concerned entities are proposed.

Suggested Citation

  • Amol Pardhi & Suchita Varade, 2022. "Ambulatory EEG Data Management System for Home Care Epileptic Patients: A Design Approach," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 13(1), pages 1-15, January.
    • Handle: RePEc:igg:jaci00:v:13:y:2022:i:1:p:1-15
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