activity
20202024
most citedA Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation

24 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024★ 24 cited

LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG

Yiqiao Liao, Chao Zhang, Milin Zhang +2

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…

eess.SP2024★ 15 cited

Multi-Channel Multi-Domain based Knowledge Distillation Algorithm for Sleep Staging with Single-Channel EEG

Chao Zhang, Yiqiao Liao, Siqi Han +3

This paper proposed a Multi-Channel Multi-Domain (MCMD) based knowledge distillation algorithm for sleep staging using single-channel EEG. Both knowledge from different domains and…

eess.SP2022

Single-channel EEG completion using Cascade Transformer

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. This paper proposed a Cascade Transformer architecture and a l…

cs.AR2022

SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG

Chao Zhang, Zijian Tang, Taoming Guo +5

This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG). A bias-driven p…

q-bio.NC2020★ 24 cited

A Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation

Xilin Liu, Hongjie Zhu, Tian Qiu +8

Sensory feedback is critical to the performance of neural prostheses that restore movement control after neurological injury. Recent advances in direct neural control of paralyzed…