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Showing items 353291-353300 of 2348971 (234898 Page(s) Totally)
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| 國立交通大學 |
2014-12-08T15:23:54Z |
EEG Dynamics Reflect the Distinct Cognitive Process of Optic Problem Solving
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She, Hsiao-Ching; Jung, Tzyy-Ping; Chou, Wen-Chi; Huang, Li-Yu; Wang, Chia-Yu; Lin, Guan-Yu |
| 國立交通大學 |
2014-12-08T15:08:41Z |
EEG effects of motion sickness induced in a dynamic virtual reality environment
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Lin, Chin-Teng; Chuang, Shang-Wen; Chen, Yu-Chieh; Ko, Li-Wei; Liang, Sheng-Fu; Jung, Tzyy-Ping |
| 國立臺灣科技大學 |
2017-12 |
EEG FEATURE EXTRACTION AND RECOGNITION WITH DIFFERENT MENTAL STATES BASED ON WAVELET TRANSFORM AND ACCLN NETWORK
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Qin, Xuebin;Deng, Jun;Wang, Mei;Wang, Pai;Wang, Liang;Zhang, Yizhe |
| 國立政治大學 |
2012-01 |
EEG Power Spectrum Analysis to the Human Impactof Energy Crystal
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Lai, Wei-Dian; Liao, Ben-Yuh; Shih, Meng-Long; Chen, Mu-Jin |
| 元智大學 |
Sep-15 |
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring During Surgery through Artificial Neural Networks
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Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh |
| 元智大學 |
Sep-15 |
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring During Surgery through Artificial Neural Networks
|
Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh |
| 臺大學術典藏 |
2018-09-10T15:19:40Z |
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks
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Liu, Q.;Chen, Y.-F.;Fan, S.-Z.;Abbod, M.F.;Shieh, J.-S.; SHOU-ZEN FAN |
| 國立臺灣科技大學 |
2016 |
EEG Spectral Dynamics of Video Commercials: Impact of the Narrative on the Branding Product Preference
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Wang, R.W.Y;Chang, Y.-C;Chuang, S.-W. |
| 臺大學術典藏 |
2018-09-10T07:03:52Z |
EEG spike detection algorithm using artificial neural network with multi-channel correlation
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Ko, Cheng-Wen; Lin, Yue-Der; Chung, Hsiao-Wen; Jan, Gwo-Jen; HSIAO-WEN CHUNG |
| 國立交通大學 |
2017-04-21T06:48:32Z |
EEG-based Absence Seizure Detection Methods
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Liang, Sheng-Fu; Chang, Wan-Lin; Chiueh, Herming |
Showing items 353291-353300 of 2348971 (234898 Page(s) Totally)
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