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Chung-Kuan Cheng

Showing results (1-10 of 18) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal ProcessingPo-Ya Hsu, Chung-Kuan Cheng
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
R-peak Detection Using a Hybrid of Gaussian and Threshold SensitivityPo-Ya Hsu, Chung-Kuan Cheng
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Developing stimulus presentation on mobile devices for a truly portable SSVEP-based BCIYu-Te Wang, Yijun Wang, Chung-Kuan Cheng, et al.
Journal of Neural Engineering|April 11, 2023
Using EEG signals to assess workload during memory retrieval in a real-world scenarioKuan-Jung Chiang, Steven Dong, Chung-Kuan Cheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Measuring steady-state visual evoked potentials from non-hair-bearing areasYu-Te Wang, Yijun Wang, Chung-Kuan Cheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Empirical mode decomposition improves detection of SSVEPLiya Huang, Xiaoxia Huang, Yu-Te Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 3, 2016
An Online Brain-Computer Interface Based on SSVEPs Measured From Non-Hair-Bearing AreasYu-Te Wang, Masaki Nakanishi, Yijun Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Spatial density reduction in the study of the ECG signal using independent component analysisAmirali Shayan Arani, Yi Zhu, Wanping Zhang, et al.
IEEE Transactions on Bio-Medical Engineering|November 8, 2008
Analyzing high-density ECG signals using ICAYi Zhu, Amirali Shayan, Wanping Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEGYu-Te Wang, Masaki Nakanishi, Simon Lind Kappel, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

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Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal ProcessingPo-Ya Hsu, Chung-Kuan Cheng
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
R-peak Detection Using a Hybrid of Gaussian and Threshold SensitivityPo-Ya Hsu, Chung-Kuan Cheng
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Developing stimulus presentation on mobile devices for a truly portable SSVEP-based BCIYu-Te Wang, Yijun Wang, Chung-Kuan Cheng, et al.
Journal of Neural Engineering|April 11, 2023
Using EEG signals to assess workload during memory retrieval in a real-world scenarioKuan-Jung Chiang, Steven Dong, Chung-Kuan Cheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Measuring steady-state visual evoked potentials from non-hair-bearing areasYu-Te Wang, Yijun Wang, Chung-Kuan Cheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Empirical mode decomposition improves detection of SSVEPLiya Huang, Xiaoxia Huang, Yu-Te Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 3, 2016
An Online Brain-Computer Interface Based on SSVEPs Measured From Non-Hair-Bearing AreasYu-Te Wang, Masaki Nakanishi, Yijun Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Spatial density reduction in the study of the ECG signal using independent component analysisAmirali Shayan Arani, Yi Zhu, Wanping Zhang, et al.
IEEE Transactions on Bio-Medical Engineering|November 8, 2008
Analyzing high-density ECG signals using ICAYi Zhu, Amirali Shayan, Wanping Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEGYu-Te Wang, Masaki Nakanishi, Simon Lind Kappel, et al.
Pageof 2