Video-based Automated Epileptic Seizure Recognition System of Mice Model for Drug Development - Neural Motion
This software enables large-scale detection and analysis of epileptic seizures of the induced rodent model in videos instead of using a human observer. The technology increases the efficiency of a preclinical anti-epileptic drug screening and accelerates drug development.
Team members
Mr Ren Junming* (PhD student, Dept. of Biomedical Sciences, CityU)
Dr He Ling (Research Associate, Dept. of Neuroscience, CityU)
Dr Zhang Yujia (PhD, Dept. of Electrical Engineering, CityU)
Miss Che Lijia (PhD student, Dept. of Computer Science, CityU)
Mr Xiao Zhoujian (PhD student, Dept. of Neuroscience, CityU)
Miss Zhang Mengfan (PhD student, Dept. of Biomedical Sciences, CityU)
Mr Ezra Yoon (Research Assistant, Dept. of Neuroscience, CityU)
* Person-in-charge
(Info based on the team's application form)
Dr He Ling (Research Associate, Dept. of Neuroscience, CityU)
Dr Zhang Yujia (PhD, Dept. of Electrical Engineering, CityU)
Miss Che Lijia (PhD student, Dept. of Computer Science, CityU)
Mr Xiao Zhoujian (PhD student, Dept. of Neuroscience, CityU)
Miss Zhang Mengfan (PhD student, Dept. of Biomedical Sciences, CityU)
Mr Ezra Yoon (Research Assistant, Dept. of Neuroscience, CityU)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2021)
- Lau Tat Chuen Outstanding Startup Idea Award (2021)