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This paper presents an embedded health monitoring system that combines alcohol detection and epilepsy monitoring functionalities. The proposed system uses biosensor technology to detect alcohol levels via a wearable gas sensor and monitors brain activity through EEG signals for seizure prediction. Signal preprocessing techniques and algorithmic classification enable real-time identification of both alcohol intoxication and potential seizure episodes. Data is transmitted securely via IoT infrastructure to a cloud platform for further analysis and alert generation. This system increases healthcare outcomes offering timely warnings and guarantees data privacy.

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Dual-Function Health Monitoring System for Alcohol Detection and Epileptic Seizure Prediction

  • 会议论文

  • 发表日期：

    2026年

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  • P. Sinthia,
  • T. Merlin Inbamalar,
  • A. R. Kalaiarasi,
  • G. Gurumoorthy,
  • M. Prabakaran

摘要

This paper presents an embedded health monitoring system that combines alcohol detection and epilepsy monitoring functionalities. The proposed system uses biosensor technology to detect alcohol levels via a wearable gas sensor and monitors brain activity through EEG signals for seizure prediction. Signal preprocessing techniques and algorithmic classification enable real-time identification of both alcohol intoxication and potential seizure episodes. Data is transmitted securely via IoT infrastructure to a cloud platform for further analysis and alert generation. This system increases healthcare outcomes offering timely warnings and guarantees data privacy.