no code implementations • 12 Apr 2024 • Siqi Han, Chao Zhang, Jiaxin Lei, Qingquan Han, Yuhui Du, Anhe Wang, Shuo Bai, Milin Zhang
The proposed method achieves an accuracy of 99. 62% on the artifact detection task and a 82. 79% accuracy on the 6-category eye movement classification task.
no code implementations • 1 Mar 2024 • Milin Zhang, Mohammad Abdi, Shahriar Rifat, Francesco Restuccia
As such, in this paper we formulate and investigate the resilience of entropy models to intentional interference (e. g., adversarial attacks) and unintentional interference (e. g., weather changes and motion blur).
no code implementations • 24 Jan 2024 • Yiqiao Liao, Chao Zhang, Milin Zhang, Zhihua Wang, Xiang Xie
This paper proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which can be implemented on various mobile platforms with limited hardware resources.
no code implementations • 7 Jan 2024 • Chao Zhang, Yiqiao Liao, Siqi Han, Milin Zhang, Zhihua Wang, Xiang Xie
The proposed algorithm achieves a state-of-the-art single-channel sleep staging accuracy of 86. 5%, with only 0. 6% deterioration from the state-of-the-art multi-channel model.
no code implementations • 7 Jan 2024 • Chao Zhang, Yongxiang Guo, Dawid Sheng, Zhixiong Ma, Chao Sun, Yuwei Zhang, Wenxin Zhao, Fenyan Zhang, Tongfei Wang, Xing Sheng, Milin Zhang
This work presents the first fabricated electrophysiology-optogenetic closed-loop bidirectional brain-machine interface (CL-BBMI) system-on-chip (SoC) with electrical neural signal recording, on-chip sleep staging and optogenetic stimulation.
1 code implementation • 29 Sep 2023 • Milin Zhang, Mohammad Abdi, Francesco Restuccia
Our experimental results support our theoretical findings by showing that the compressed latent representations can reduce the success rate of adversarial attacks by 88% in the best case and by 57% on the average compared to attacks to the input space.
no code implementations • 16 Nov 2022 • Chao Zhang, Siqi Han, Milin Zhang
It is easy for the electroencephalogram (EEG) signal to be incomplete due to packet loss, electrode falling off, etc.
no code implementations • 3 Sep 2022 • Chao Zhang, Zijian Tang, Taoming Guo, Jiaxin Lei, Jiaxin Xiao, Anhe Wang, Shuo Bai, Milin Zhang
This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG).