In JoVE (1)
Other Publications (1)
Articles by Chanmi Yeon in JoVE
Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor Chanmi Yeon1, Donghyeon Kim2, Kiseon Kim2, Euiheon Chung1,3 1Department of Biomedical Science and Engineering (BMSE), Gwangju Institute of Science and Technology (GIST), 2School of Electrical Engineering and Computer Science (EECS), Gwangju Institute of Science and Technology (GIST), 3School of Mechanical Engineering (SME), Gwangju Institute of Science and Technology (GIST) We designed a dry-type 16 channel EEG sensor which is non-invasive, deformable, and re-usable. This paper describes the whole process from manufacturing the proposed EEG electrode to signal processing of visual evoked potential (VEP) signals measured on a mouse scalp using a dry non-invasive multi-channel EEG sensor.
Other articles by Chanmi Yeon on PubMed
Development and Experimental Validation of a Dry Non-Invasive Multi-Channel Mouse Scalp EEG Sensor Through Visual Evoked Potential Recordings Sensors (Basel, Switzerland). | Pubmed ID: 28208777 In this paper, we introduce a dry non-invasive multi-channel sensor for measuring brainwaves on the scalps of mice. The research on laboratory animals provide insights to various practical applications involving human beings and other animals such as working animals, pets, and livestock. An experimental framework targeting the laboratory animals has the potential to lead to successful translational research when it closely resembles the environment of real applications. To serve scalp electroencephalography (EEG) research environments for the laboratory mice, the dry non-invasive scalp EEG sensor with sixteen electrodes is proposed to measure brainwaves over the entire brain area without any surgical procedures. We validated the proposed sensor system with visual evoked potential (VEP) experiments elicited by flash stimulations. The VEP responses obtained from experiments are compared with the existing literature, and analyzed in temporal and spatial perspectives. We further interpret the experimental results using time-frequency distribution (TFD) and distance measurements. The developed sensor guarantees stable operations for in vivo experiments in a non-invasive manner without surgical procedures, therefore exhibiting a high potential to strengthen longitudinal experimental studies and reliable translational research exploiting non-invasive paradigms.