TY - JOUR
T1 - Implementation of Wireless Biosensor for Continuous EEG Monitoring in Neurological Intensive Care
AU - Hsu, Tien Yu
AU - Kuo, Terry B.J.
AU - Lin, Ming Chin
PY - 2020/6/16
Y1 - 2020/6/16
N2 - 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.
AB - 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.
KW - Continuous EEG
KW - Neurointensive care unit
KW - two-channel biosensor
KW - wearable device
UR - http://www.scopus.com/inward/record.url?scp=85086886323&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086886323&partnerID=8YFLogxK
U2 - 10.3233/SHTI200420
DO - 10.3233/SHTI200420
M3 - Article
C2 - 32570637
AN - SCOPUS:85086886323
SN - 0926-9630
VL - 270
SP - 1317
EP - 1318
JO - Studies in Health Technology and Informatics
JF - Studies in Health Technology and Informatics
ER -