Real-time Interpretation of EEG Signals for Consciousness State Assessment


  • Jingming GONG Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
  • Linfeng Sui Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
  • Ran Zhang Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
  • Boning Li Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
  • Chengyuan Shen Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
  • Prof.Cao Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan



EEG, TTEMD, ApEn, Brain death diagnosis, Real-time system


Assessing the level of consciousness is critical in clinical practice, especially for patients with traumatic brain injuries
or those in a coma or vegetative state. Traditional methods like the Glasgow Coma Scale have limitations, such as
inter-observer variability and low sensitivity. In recent years, electroencephalography (EEG) has emerged as a promising
approach for assessing consciousness, offering non-invasive, real-time monitoring of brain activity. In this study, we propose a real-time analysis system for assessing consciousness levels using a portable EEG device. Our system analyzes EEG signals and provides valuable insights into consciousness levels, enabling prompt clinical interventions. The real-time nature of our system allows for continuous monitoring and immediate assessment of consciousness levels. Compared to traditional methods, our system offers advantages in terms of real-time functionality, providing a comprehensive evaluation of consciousness. Through extensive experiments using real patient data, our system
demonstrates its value as a valuable tool for assessing consciousness levels in clinical practice. It offers healthcare professionals an efficient and reliable method for evaluating consciousness.


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How to Cite

GONG, J. ., Sui, L. ., Zhang, R., Li, B., Shen, C., & Cao, J. (2023). Real-time Interpretation of EEG Signals for Consciousness State Assessment. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 23, 116–127.



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