TY - JOUR
T1 - Multi-Biosignal Analysis for Epileptic Seizure Monitoring
AU - Cogan, Diana
AU - Birjandtalab, Javad
AU - Nourani, Mehrdad
AU - Harvey, Jay
AU - Nagaraddi, Venkatesh
N1 - Publisher Copyright:
© 2017 World Scientific Publishing Company.
PY - 2017/2/1
Y1 - 2017/2/1
N2 - Persons who suffer from intractable seizures are safer if attended when seizures strike. Consequently, there is a need for wearable devices capable of detecting both convulsive and nonconvulsive seizures in everyday life. We have developed a three-stage seizure detection methodology based on 339 h of data (26 seizures) collected from 10 patients in an epilepsy monitoring unit. Our intent is to develop a wearable system that will detect seizures, alert a caregiver and record the time of seizure in an electronic diary for the patient's physician. Stage I looks for concurrent activity in heart rate, arterial oxygenation and electrodermal activity, all of which can be monitored by a wrist-worn device and which in combination produce a very low false positive rate. Stage II looks for a specific pattern created by these three biosignals. For the patients whose seizures cannot be detected by Stage II, Stage III detects seizures using limited-channel electroencephalogram (EEG) monitoring with at most three electrodes. Out of 10 patients, Stage I recognized all 11 seizures from seven patients, Stage II detected all 10 seizures from six patients and Stage III detected all of the seizures of two out of the three patients it analyzed.
AB - Persons who suffer from intractable seizures are safer if attended when seizures strike. Consequently, there is a need for wearable devices capable of detecting both convulsive and nonconvulsive seizures in everyday life. We have developed a three-stage seizure detection methodology based on 339 h of data (26 seizures) collected from 10 patients in an epilepsy monitoring unit. Our intent is to develop a wearable system that will detect seizures, alert a caregiver and record the time of seizure in an electronic diary for the patient's physician. Stage I looks for concurrent activity in heart rate, arterial oxygenation and electrodermal activity, all of which can be monitored by a wrist-worn device and which in combination produce a very low false positive rate. Stage II looks for a specific pattern created by these three biosignals. For the patients whose seizures cannot be detected by Stage II, Stage III detects seizures using limited-channel electroencephalogram (EEG) monitoring with at most three electrodes. Out of 10 patients, Stage I recognized all 11 seizures from seven patients, Stage II detected all 10 seizures from six patients and Stage III detected all of the seizures of two out of the three patients it analyzed.
KW - Arterial oxygenation
KW - electrodermal activity
KW - heart rate
KW - limited-channel EEG monitoring
KW - seizure detection
KW - wrist-worn device
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U2 - 10.1142/S0129065716500313
DO - 10.1142/S0129065716500313
M3 - Article
C2 - 27389004
AN - SCOPUS:84978027814
SN - 0129-0657
VL - 27
JO - International Journal of Neural Systems
JF - International Journal of Neural Systems
IS - 1
M1 - 1650031
ER -