Implementation of Wireless Biosensor for Continuous EEG Monitoring in Neurological Intensive Care

Tien Yu Hsu, Terry B.J. Kuo, Ming Chin Lin

Research output: Contribution to journalArticlepeer-review


Seizure is a common complication in a neurological intensive care unit (NICU) and it requires continuous electroencephalograms (EEG) monitoring. Implementation of EEG for each bed in a NICU is very expensive and require labor work for interpretation of EEG. To provide an affordable device of EEG in NICU, we developed a low-cost wireless biosensor, which utilized the current standard of the internet of things technology (IoT). In this study, we implement a wireless biosensor for continuous EEG monitoring in NICU and discuss its feasibility. To provide a low-cost EEG device, we embraced Bluetooth and mobile phone technology, which is convenient for implementation. We build a two-channel EEG biosensor, which utilizes Bluetooth to transmit the signal to mobile phones. Then, mobile phones use Wi-Fi technology to send data to the server. Additionally, we also developed a registry to organize the patient's EEG data. In six months research period, we have 65.8% of patients collected successfully. Using 2 channel-biosensor in NCU is feasible. It also develops a neuromedical database by collecting and monitoring physiological signals to develop future neuromedical research.

Original languageEnglish
Pages (from-to)1317-1318
Number of pages2
JournalStudies in Health Technology and Informatics
Publication statusPublished - Jun 16 2020


  • Continuous EEG
  • Neurointensive care unit
  • two-channel biosensor
  • wearable device

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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