
The project focuses on 10 types of diseases and is planned to be completed and put into use in 2027.
AI-generated summary
The brain-computer interface industry is currently facing a situation where data is insufficient and difficult to use, and is trapped in the dilemma of “algorithms but no high-quality data”.
China News Service, Wuhan, October 24 (Chang Yu) A brain-computer interface high-quality data set construction project led by Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology was launched in Wuhan on the 24th.
Brain-computer interface spans neuroscience, electronic information, materials, machinery, artificial intelligence and other disciplines. Data is the basis for industrial development and competition. At present, insufficient and difficult-to-use data have become constraints to industrial development, and research teams generally fall into the dilemma of "algorithms but no high-quality data."
"Without high-quality data, no matter how sharp the algorithm is, it is just cooking without rice." Hu Junbo, director of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, said. To this end, the hospital has officially launched a high-quality data set construction project in conjunction with domestic leading hospitals and key enterprises.
According to the construction plan, the project is planned to be completed and put into use in 2027. It will focus on 10 types of diseases, including stroke rehabilitation, spinal cord injury, Parkinson's disease, epilepsy, disorder of consciousness, intractable pain, facial paralysis, speech dysfunction, movement disorders and gastrointestinal neuromodulation. It will basically cover the main clinical scenarios of neuromodulation and functional reconstruction. It will cover 6 data modalities and focus on the construction of multi-modal data sets such as brain signal acquisition, intention decoding, functional assessment, closed-loop neuromodulation, and rehabilitation interaction.
At the same time, the project will also build an integrated data capability platform of "data collection - management processing - application services", supporting multiple standards and specifications, forming a safe and controllable brain-computer interface data circulation mechanism, building an independent and controllable data base for industry scientific research innovation and industrial transformation, and providing key support for the transformation of brain-computer interface technology from laboratory to clinical application and industrial implementation.
At the launch ceremony, medical institutions and key enterprises in the field of brain-computer interface, such as Zhongshan Hospital of Fudan University, Shengjing Hospital of China Medical University, the First Affiliated Hospital of Zhejiang University School of Medicine, West China Hospital of Sichuan University, and other key enterprises in the field of brain-computer interface were invited to join the National Brain-Computer Interface High-Quality Data Set Alliance, which will gather innovative forces through unified standards and support model development, clinical verification and industrial application with high-quality data.
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The project is planned to be completed and put into use in 2027
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