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China

234 entries
September 2026

Shandong Researchers' EEG Network Decodes Motor Imagery at 96.41% on Benchmark Data

Researchers at Shandong University of Traditional Chinese Medicine in eastern China and partner institutions have developed DMB-EDN, a dynamic multi-branch network for decoding the faint scalp EEG changes that occur when a person imagines moving a hand or foot, the basis of non-invasive brain-computer interfaces. Its 3 branches capture temporal dynamics, time-frequency features and specific rhythms, and the network reweights them automatically for each trial. On the public BCI Competition IV 2a dataset it achieved 96.41% average accuracy (kappa 0.952); on the team's own data from spinal cord injury patients, tested on patients not used in training, it reached 85.00% accuracy (kappa 0.700). All results are offline, and the researchers say validation in larger multicenter populations and real-time online systems is still needed.

Network Meta-Analysis Ranks BCI-Robot Therapy First for Post-Stroke Arm Recovery

A network meta-analysis of 22 randomized study cohorts with 727 participants compared BCI-coupled robotic rehabilitation, robot-assisted therapy alone, motor imagery and conventional rehabilitation for arm weakness after stroke. BCI-coupled robotic rehabilitation ranked highest on upper-limb motor function scores, averaging 6.80 points above conventional rehabilitation, a point estimate above the 5.25-point minimal clinically important difference, although the lower confidence limit fell short of it. Its advantage over robot-assisted therapy alone was only 2.04 points, which the authors judged unlikely to be clinically important.

Northwestern Polytechnical University Diffusion Network Cleans EEG Artifacts in 17 ms

EEG is easily contaminated by blinks, muscle activity and heartbeats, which can drag down how accurately a brain-computer interface reads intent. Researchers from the School of Automation and the School of Software at Northwestern Polytechnical University in Xi'an, northwestern China, built Diff-ADN, a single-channel denoiser that first reconstructs the signal according to contamination severity, then applies one diffusion-guided residual correction. It handles ocular, muscular, cardiac and mixed artifacts, reaching mean Pearson correlations with clean EEG of 0.839 to 0.936 at contamination levels from -7 to +2 dB. Across 4 public motor-imagery datasets, removing cardiac artifacts recovered 4.88 to 5.59 percentage points of decoding accuracy, up to 21.90 points in a single case, and a 2-second segment took 12.52 to 17.08 ms on the tested CPU. Better waveform reconstruction did not always translate into equal gains in decoding accuracy.

Chinese County Hospital Performs Nation's First BCI Implant at County Level

Dong'e County People's Hospital in eastern China's Shandong province performed a brain-computer interface implant on September 15, 2026, the country's first such procedure at a county-level hospital. The approved system records and decodes brain signals through an epidural implant to control assistive devices. The hospital had previously combined neurology and neurosurgery into a neuroscience center.

Chinese Team Proposes Unified Theory Framework for BCIs

BCI hardware and decoding algorithms have advanced quickly, but basic questions such as how much intent can be read from brain signals and how low decoding error can go still lack a systematic theoretical answer. This paper treats a BCI as a closed-loop stochastic process: a user forms an intention, the brain encodes it as neural activity, the device observes the signal, an algorithm decodes it statistically, and feedback returns to the user. Using information theory and statistical decision theory, the authors derive theorems on when intent is decodable, the upper bound of observable information, the lower bound of optimal decoding error, and the convergence of closed-loop learning, plus laws describing constraints from signal-to-noise ratio, class separability and non-stationary co-adaptation. A four-class SSVEP-BCI, in which users gaze at targets flickering at different frequencies, serves as a theoretical case study. The work is theoretical and reports no new experimental data.

Peking University Third Hospital Joins Chinese Invasive BCI Trial for Spinal Cord Injury

Peking University Third Hospital, a top-tier (Grade 3A) general hospital in Beijing whose neurosurgery department is one of its key specialties, is taking part in a clinical trial of a Chinese-developed invasive brain-computer interface (BCI), neurosurgeons Yang Jun and Yu Tao wrote in the 16th issue of China Hospital CEO magazine. The trial enrolls patients with spinal cord injury and relies on a multidisciplinary team (MDT) to restore hand function after implantation. Invasive BCIs read neural signals through electrodes placed inside the skull or on the cortical surface, so surgery and rehabilitation depend on close coordination among neurosurgery, rehabilitation and imaging departments. The disclosure marks one step in Chinese hospitals' clinical validation of domestic systems. Public information has not named the system or disclosed enrollment, follow-up milestones or primary endpoints, and no efficacy or safety data have been released.

Beijing's BCI Plan Sets No Output Targets, Bets on Companies Instead

Beijing issued China's first provincial-level brain-computer interface (BCI) action plan on January 7, 2025, setting every 2027 and 2030 target in terms of companies and platforms rather than output or revenue. The plan calls for three to five unicorns or would-be unicorns by 2027 and around 100 innovative small and medium-sized firms by 2030. On the payment side, Beijing prices invasive BCI implantation at RMB 7,980 per procedure and covers all three BCI service fees under Category A of basic medical insurance, limited to four hospitals.

Shanghai Aims to Partially Restore Sight With BCIs by 2030

Shanghai's science and technology commission issued a BCI action plan on January 10, 2025, pledging to help blind patients partially regain sight by 2030 and to have more than five invasive or semi-invasive products complete medical device type testing by 2027. The city's healthcare security bureau created three BCI service fee items in August 2025 but left prices to hospitals and explicitly excluded them from basic medical insurance payment.

Sichuan Targets 3,000 Invasive BCI Operations a Year by 2030

Sichuan's industry department and seven other agencies issued a BCI and human-machine interaction plan on May 12, 2025, targeting 3,000 invasive BCI operations a year by 2030 and the registration of three invasive and five non-invasive products by 2027. The province prices BCI services in five tiers by hospital grade, with implantation ranging from RMB 6,583 to RMB 4,389, all paid out of pocket.

Shandong Health Commission Leads 16-Agency Push on BCI Clinical Validation

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 Sets 10-Day Clock for Mutual Recognition of BCI Ethics Reviews

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 Opens BCI Trials to Nuclear, Mining and Power Industries

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 Stakes BCI Product Targets on Non-Invasive Devices

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 Plans 200 BCI Wards and Splits Roles Between Shenzhen and Guangzhou

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.

Anhui Pushes BCI Milestones to 2028, Hands Research Lead to USTC

Anhui issued a 2026-2030 BCI action plan on June 15, 2026 that sets its near-term milestones in 2028 rather than 2027 and frames every target as a minimum, including at least three approved invasive BCI clinical trials. Research leadership goes to the University of Science and Technology of China, with Hefei as the hub, Bengbu handling key components and Wuhu clinical translation.

Zhejiang, First to Reimburse BCI Fees, Cuts Device Review to 40 Days

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.

Tsinghua Team Launches TrustBCI to Share BCI Data Without Moving It

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.

Low-Cost EEG Decodes Imagined Steering Direction

Can an EEG headset tell whether a driver is imagining a left or a right turn of the wheel? A team from Wuhan University of Technology and Guangxi Normal University designed a motor imagery task built around the actual steering action: participants imagined turning a wheel left or right with the right hand only. Using a low-cost OpenBCI device with 8 electrodes, they recorded EEG from 12 participants and found steering-direction differences over the central scalp. Their SMB-TCSAN decoding model reached an average classification accuracy of 66.80% on the steering-direction dataset. The authors describe the work as a preliminary feasibility check for driving-assistive BCI, not a working system.

StairMed Plans 4-Patient Trial of Wireless Implant for Mandarin Speech

Shanghai-based StairMed has taken its wireless implantable brain-computer interface system into human evaluation for people with speech impairments. The prospective, single-arm trial (NCT07647315) actually began on September 1, 2026, is now recruiting, and plans to enroll 4 participants. Subjects will undergo surgical implantation and brain-control training, followed by an expected 12 months of follow-up recording adverse events, serious adverse events and device deficiencies, along with efficacy data on brain-controlled interaction and communication. Primary completion is expected on August 30, 2028, and the study as a whole on December 30, 2028. The registry record does not disclose the implant site, decoding method or detailed eligibility criteria, and no interim results have been posted, so conclusions on safety and efficacy will have to wait for follow-up data.

Anisotropic Hydrogel Electrode Records P300 and SSVEP Signals

Electrodes for non-invasive brain-computer interfaces have long traded off conductivity, conformity to the skin and durability. A conductive hydrogel made by in situ directional freezing copolymerization forms vertically aligned ion channels and an interconnected nanoporous network, giving it higher conductivity than conventional hydrogel electrodes. In preliminary P300 and steady-state visual evoked potential (SSVEP) experiments, it recorded signals comparable in quality to conventional wet- and dry-electrode benchmarks, while also offering a tissue-matched compressive modulus, high stretchability, skin adhesion and rapid self-healing. The paper presents these experiments as a feasibility demonstration and reports no data on long-term wear stability, scaled-up fabrication or human clinical trials.

Neuracle Registers Cortical Electrode in China's NMPA Device Identifier Database

Neuracle Medical Technology (Shanghai) Co., Ltd. has registered a cortical electrode, model 1014-35, in the medical device unique identification (UDI) database of China's National Medical Products Administration (NMPA), under registration certificate Guoxiezhuzhun 20263120536. Neuracle's product line spans EEG acquisition equipment and implantable electrodes. The electrode belongs to an implantable EEG electrode kit (cortical electrode, blank electrode, electrode dilator, tunneler, torque wrench, lead fixation clip, fixation screws and electrode protective sleeve) that holds its own registration certificate and is also a component of an implantable BCI hand motor function compensation system. That system comprises a BCI implant, the electrode kit, an EEG signal transceiver, a pneumatic glove, a single-use surgical toolkit, and three software packages for EEG decoding, medical testing and clinical management.

OPM-MEG Beats EEG by 3.6 Points in Non-Invasive Speech Decoding

Ten native Mandarin speakers read aloud six single-vowel rhymes while optically pumped magnetometer magnetoencephalography (OPM-MEG) and EEG recorded the same task. In the 150-500 ms window after stimulus onset, OPM-MEG decoded significantly more accurately than EEG with all five classifiers tested. The best-performing combination, common spatial pattern features with a linear support vector machine, reached a mean accuracy of 60.3% for OPM-MEG versus 56.7% for EEG. That suggests speech BCIs that need no implanted electrodes and do not restrict head movement may have a clearer signal path than EEG.

1,145-Patient Meta-Analysis Finds Stronger Evidence for Robotic Stroke Rehab Than BCI

Which new technology does most for upper-limb recovery after stroke: virtual reality, robotics or a brain-computer interface (BCI)? A systematic review and network meta-analysis placed all three in a single evidence network, pooling 25 randomized controlled trials and 1,145 stroke survivors. The authors searched PubMed, Web of Science, the Cochrane Library and Embase from inception to October 2025, used conventional physical therapy as the common comparator in a star-shaped network, and applied a Bayesian random-effects model to estimate relative efficacy and calculate SUCRA rankings. Robot-assisted training produced the most robust findings, with two studies supporting robotics plus conventional physical therapy and three supporting robotics alone; only one BCI study yielded extractable data, too little to judge efficacy. The authors caution that the top-ranked intervention, robotics combined with rehabilitative functional electrical stimulation, rests on a single trial and should not be read as definitive evidence of superiority.

Peking Union Medical College Team's 480-Target Hybrid BCI Hits 260 Bits per Minute

A team at the Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, has built a hybrid brain-computer interface (BCI) that combines surface electromyography (sEMG) with steady-state visual evoked potentials (SSVEP), encoding 480 targets with 120 flicker frequencies and four hand gestures. In online experiments it achieved a mean classification accuracy of 84.55 ± 7.23% and a mean information transfer rate (ITR), a key measure of practical BCI performance, of 260.07 ± 30.41 bits/min. Its command set matches the largest target counts in existing systems, and the authors place its performance among the top, offering a technical reference for large-command-set BCIs. The work appeared in Cognitive Neurodynamics on September 7, 2026.

BCI Training Improves Post-Stroke Arm Function Across 35 Trials, 1,188 Patients

Brain-computer interface training significantly improves upper-limb motor function after stroke, according to a systematic review and meta-analysis of 35 randomized controlled trials involving 1,188 participants, published in Frontiers in Neurology on September 3, 2026. Pooled data showed mean improvements of 4.55 points on the Fugl-Meyer Assessment-Upper Extremity (FMA-UE), 3.90 points on the Action Research Arm Test (ARAT) and 8.53 points on the Wolf Motor Function Test (WMFT), but the effect depended heavily on the comparator: a mean difference of 6.70 against usual care versus only 1.97 against sham-contingent controls. Twenty-two trials reported multi-level neuroplastic changes, though the evidence was insufficient to explain the mechanisms of recovery.

Anti-Fouling Coating Shields Neural Electrode, Signal Stays Clear for Six Months

Researchers at the Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences and collaborating institutions have developed a neural electrode interface that, they report, significantly extended electrode operational lifetime and improved signal fidelity over six months of in vivo implantation. The material, a benzyloxycarbonyl-substituted poly(ornithine-alt-glycine) coating abbreviated OGCbz, resists biofouling and immunogenic rejection without degrading electrical performance, targeting what the authors call the critical obstacle to electrodes that combine long-term recording with tunable biofunctional control: an immune-mediated foreign body response in which glial scar encapsulates implants like cement. Substituting the Cbz group with other functional moieties preserves those antifouling and biocompatibility properties while adding new ones, and as a proof of concept the peptide sequence IKVAV and the antibody cetuximab gave the interface neuron affinity and tumor cell proliferation inhibition respectively; the six-month result came from the IKVAV-functionalized version.

48-Subject Study Shows 3-Channel P300 Matches 8-Channel Performance

Researchers at Guangzhou Maritime University, Guangdong University of Technology and Guangzhou University in southern China combined a genetic algorithm with Bayesian linear discriminant analysis to pick a fixed, strongly generalizable three-channel subset from a conventional eight-channel P300 BCI, avoiding per-user recalibration. In offline and online virtual reality experiments with 48 healthy subjects, the three-channel system matched the eight-channel system on accuracy and information transfer rate, while equipment preparation fell from 30 minutes to 3, a 90% cut. NASA-TLX scores showed significantly lower mental and physical workload. The study was published in Biomimetics on September 1, 2026.
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