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Professor Sheng-Fu Liang

 

 

Project Name

Development of Intelligent Neurofeedback Training and Sleep Enhancement System

 

Project Intro

Among the residual symptoms in remitted depressive or anxiety disorder, most patients paid much concerned about the sleep disturbance. The sleep disturbance not only influence the cognitive function but also increase the relapse rate of depression or anxiety. However, for chronic insomniac patients with depression or anxiety, the common antidepressants influence the sleep architecture and sleep quality. Also, most hypnotics could not fulfill all the condition for sleep induction, sleep maintenance, not influencing sleep architecture, not bothering daily life function and non-dependence tendency. This project integrates experts with rich experiences in artificial intelligence, edge computing, neurosensing, information engineering, neural science and engineering, psychiatry, and sleep medicine, to develop the intelligent neurofeedback training and sleep quality assessment system for sleep enhancement that can be applied to normal people and patients with insomnia. Through one-month non-pharmacological neurofeedback training, it is expected to show effectiveness in treating insomnia by using neuronal potential activity as signals to adjust the brain function. The performances of neurofeedback training and the changes of brain responses between normal people and patients with insomnia will be compared and evaluated by neuroimaging technology. For the AI developing, edge-computing-based sleep analysis and neurofeedback methods will be developed from the small data size at the beginning of the experiments by combining expert knowledge and intelligent inference System. Meanwhile, the sleep quality assessment system for cloud computing will also be developed based on huge database and deep learning technology. The applicability of our system in sleep monitoring and enhancement will also be evaluated for 6-month follow-up study. It is expected that the developing devices and technology will be mature for commercialization based on our successful experience in technology transfer. For the industry, the developing technologies will provide new opportunity to develop next-generation innovative wearable products. For the technical breakthrough, the success of this project will enable the neurofeedback training to be used in clinics and day-to-day living and extend the applications of AI and wearable devices from assessment to performance enhancement. In terms of society, healthy persons as well as insomnia patients will be able to achieve better quality of life due to the innovative neurosensing and neurofeedback training technology.

 

Project Host

 

Principal Investigator


Sheng-Fu Liang Professor

Dept. CSIE, NCKU

  

Co-Principal Investigator

 Fu-Zen Shaw, Distinguished Professor

Psychology Dept, NCKU

 

Zong-Hua Lu, Doctor

Psychiatry Dept, NCKU Hospital

 

Yuan-Hong Wang, Associate researcher

RCADA, NCU

 

Chih-En Kuo, Assistant Professor

Automatic Control Engineering Dept, FCU

 

 

Website To Link

http://ncbci.csie.ncku.edu.tw/

 

 

Host's Public Contact Method

Tel:062757575-62549

E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

 

 

  Representative Pictures Of The Research

 


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計畫補助單位:科技部
70101 台南市東區大學路1號 成功校區 資訊工程系 舊館1樓4220辦公室
No.4220, CSIE Dept (old building), No.1, University Road, Tainan City 701, Taiwan (R.O.C)

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