Project title
以封閉式迴路系統生物晶片預測癲癇發作及應用深腦刺激術治療癲癇症病人-分析臨床腦波以建立機器學習演算法為基礎之癲癇發作偵測與預測( I )
Internal ID
MOST106-2314-B002-184
Principal Investigator
Start Date
August 1, 2017
End Date
July 31, 2018
Investigators
Organizations
Partner Organizations
Establish a Machine-Learning Algorithm by Analyzing Clinical Eeg Data to Detect Biomarkers of Epileptic Eegs and Predict the Seizure Occurrence( I )
Keywords
癲癇偵測
癲癇預測
機器學習
支持向量機
深層神經網路
數位訊號處理器
低能耗積體電路
seizure detection
seizure prediction
machine learning
support vector machine (SVM)
deep neural network (DNN)
DSP processor
energy-efficient integrated circuits