Technical Name 智慧型偏頭痛預警及神經電刺激輔助治療系統
Project Operator National Yang Ming Chiao Tung University
Project Host 柯立偉
Migraine patients account for about 640 million people (15) in the world,about 1.75 million (9.1) in Taiwan. Our team had developed a wearable brain-computer interface system with the newly developed graphene dry electrodeadaptive noise subspace reconstruction technology. This system combined the physiological indicators before migraine attacksuses AI technology to build an intelligent migraine early warning system,combined BrainSTIM electrical stimulation technology to assist migraine patients.
Technical Film
Scientific Breakthrough
"This system includes key featuresinnovative advantages on the device as follows:
A. Key features: The resting EEG of wearable wireless brain-computer interface system developmentbig data analysis is used for predictive diagnosistreatment of home migraine patients. B. Device innovation: (1) Development of graphene dry electrodes (2) Development of ASR technology (3) Combined with BrainSTIM electrode stimulator for auxiliary treatment."
Industrial Applicability
In clinical medical expenditure, the annual expenditure of migraine patients in the United States is 4,144 USD (about NT$ 120,000),the annual expenditure of migraine patients in the UK is 3,700 Euro (about NT$ 140,000). Of which 47.6 are mild migraine patients, that is, the market demand for mild migraine patients is as high as about 72.2 billion US dollars. Especially in the current COVID-19 epidemic, if this product can be successfully introduced into the international market, it will make a considerable contribution to the overall migraine patients.
Matching Needs
Keyword Migraine Resting EEG Wireless EEG device Flexible graphene/GO electrode Artifact subspace reconstruction (ASR) Big data Artificial Intelligence (AI) Preictal alert Transcranial direct current stimulation (tdcs) Adjuvant therapy
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