BCIwiki — Brain-computer interface news, research and industry database

Shandong's health commission and 15 other agencies issued a BCI clinical translation plan on July 7, 2026, following a 2025 industry plan led by the provincial science department. The 14-measure plan sets up a clinical research alliance and a provincial clinical database, cuts review time for Class II devices to 90 working days, and targets more than 30 multicenter validation projects and a RMB 2 billion industry by 2028.

Jiangxi issued BCI support measures on November 26, 2025 that set no numeric targets but called for mutual recognition of clinical research ethics reviews, and its health commission followed on May 26, 2026 with guidance requiring participating sites to finish recognition reviews within 10 working days. Invasive projects for neurological or psychiatric treatment also need provincial expert review within 20 working days.

Jiangsu's industry department and eight other agencies issued a BCI action plan in March 2026 that invites companies in hazardous chemicals, nuclear power, mining and electric power to pilot the technology first. Nearly all its numeric targets, including at least 20 registered medical products, fall in 2030, and a widely cited RMB 6,600 implant price appears only in a 2025 draft, not in the province's final pricing notice.

Tianjin's municipal government issued a 2026-2030 BCI action plan on May 26, 2026 that limits every numeric product target to non-invasive devices, aiming for more than ten in large-scale clinical use by 2030, while invasive products get a single unquantified approval goal. The plan also targets an industry fund cluster of more than RMB 10 billion by 2030.

Guangdong's provincial Party science and technology committee office issued a 2026-2030 BCI plan on June 5, 2026 that calls for 200 BCI hospital wards serving more than 500,000 patients cumulatively by 2030. The plan assigns invasive devices and signal decoding to Shenzhen and non-invasive systems to Guangzhou, and follows provincial BCI prices set nine months earlier, with implantation capped at RMB 6,600.

Zhejiang became the first Chinese province to reimburse a BCI service when it covered non-invasive fitting fees under Category B insurance from September 1, 2025, limited to smart bionic prosthesis fittings. Its 18 industry-academia-research measures, dated July 16, 2026, cut review of qualifying Class II BCI devices to 40 working days and offer research hospitals up to RMB 8 million per project.

Fujian's science department and five other agencies issued a 2026-2030 BCI action plan on August 9, 2026, making the province the 11th in China with a dedicated BCI policy. It plans a cross-strait joint laboratory with Taiwanese research institutions and companies by 2027 and targets 30 innovative companies and a RMB 3 billion industry by 2030.

Hubei became the first Chinese province to publish BCI medical service prices on March 31, 2025, capping invasive implantation at RMB 6,552, and Wuhan hosted China's first BCI operation charged at the government guidance price in November 2025. The province has no dedicated BCI policy document, and its prices carry no insurance payment category.

As of September 14, 2026, 11 of China's 31 provincial-level regions had issued dedicated BCI policy documents, but Hainan, Qinghai and Xinjiang had published BCI medical service prices without any industry plan. Hubei, Hunan, Chongqing and Henan have BCI initiatives but no dedicated documents, and 16 other regions show neither.

Training accurate BCI models depends on large, diverse EEG datasets, but that data is usually locked inside individual hospitals and labs, stored in inconsistent formats and restricted by privacy rules, which makes it hard to share. TrustBCI brings three functions into one platform: turning raw BCI datasets into assets that can be exchanged, using incentives to keep institutions contributing data, and letting users run computations without access to the raw records. The platform demonstrates two workflows, controllable data synthesis, which generates new datasets, and privacy-preserving query, which returns only query results. That suggests BCI models could be trained jointly across institutions without first pooling the data in one place.