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234 entries
August 2026
08-01 China Policy & Regulation Standards

China's First National Standards for Brain-Computer Interfaces Take Effect

Two national standards for brain-computer interfaces took effect in China on 1 August 2026, the first foundational standards the field has had there. GB/T 47023 defines a reference architecture for BCI systems; GB/T 47127 sets a common format for multimodal data, down to directory structure and file naming. Both carry the GB/T prefix, marking them as recommended rather than mandatory, so they bind no one by law and work only as far as industry and procurement choose to adopt them.
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July 2026
07-31 · Shanghai Artificial Intelligence Laboratory +1 more China Papers Foundations & Methods

EasyBCI Plans BCI Preprocessing for Six Signals

This preprint introduces EasyBCI, which the authors say automates BCI preprocessing across six signal types with a two-phase large language model agent. The study is a preprint and has not been peer reviewed. On EEG with a fixed linear classifier, the authors report that all five EasyBCI backbones preserve more task-relevant separability than the manual pipeline, and that the system extends to five additional modalities spanning nearly three orders of magnitude in sampling rate.
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07-31 · Tianjin Medical University +3 more SwitzerlandChinaUnited States Papers Foundations & Methods

A Multi-Paradigm Longitudinal EEG Dataset Including 'Sixth-Finger' and 'Affected-Hand' Motor Imagery of Stroke Patients

Researchers released a multi-paradigm longitudinal EEG dataset from 24 stroke patients, covering a novel 'sixth-finger' motor imagery paradigm and affected-hand motor imagery. The dataset spans the full pre-training, post-training and follow-up stages and includes raw EEG, preprocessed data and patient clinical information. Preliminary analysis with classical classifiers (CSP+SVM, CSP+LDA) kept average cross-paradigm classification accuracy at roughly 85%–86%.
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07-31 China Clinical Results & Follow-up

Three Weeks of Motor Imagery BCI Improves Arm Function in Subacute Stroke

A study of 60 patients with subacute stroke hemiplegia found that adding motor imagery brain-computer interface training to conventional rehabilitation significantly improved upper limb motor function, simplified upper limb function scores, and daily living abilities. The experimental group of 30 received 3 weeks of additional BCI training, 5 days per week, while the control group received only conventional rehabilitation. The experimental group showed greater improvements in Fugl-Meyer upper limb scores, simplified upper limb function scores, and Barthel Index, with statistically significant differences.
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07-30 · Shandong First Medical University China Clinical Implantation & Procedure

Eastern China's Shandong Performs Its First Invasive Brain-Computer Interface Implant

Surgeons in eastern China have implanted a brain-computer interface in a man who has been unable to move his limbs for more than two years. Eight ultraflexible electrodes sit 4 mm into his cortex, wired to a chip mounted on the skull. It is the first invasive BCI operation performed in Shandong province, and the patient now begins up to six months of training to control devices by thought.
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07-29 · Xi'an Jiaotong University China Papers Foundations & Methods

DSTF-Net Decodes SSVEP from Frontal EEG, Dropping the Occipital Electrode

Researchers writing in npj Biomedical Innovations have proposed DSTF-Net, a framework that decodes steady-state visual evoked potentials (SSVEP) from frontal EEG alone, removing the need for electrodes over the occipital cortex. In cross-subject transfer to 20 new users, including eight brain-injured patients lying supine, it improved decoding accuracy by as much as 33.47% over baseline methods.
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07-28 · Southeast University +3 more China Industry News Industrial Planning

Nanjing Builds Full BCI Industry Chain

Nanjing has built end-to-end competitiveness across the brain-computer interface industry chain, People's Daily Online reported on July 28, 2026. According to the report, the city earlier issued an action plan to become a national hub for BCI industry innovation and has set up a 3+3+3 BCI industry innovation system, drawing on universities including Southeast University and Nanjing University of Aeronautics and Astronautics to build 3 provincial- and ministerial-level key laboratories, and landing three core platforms covering neural signal coding and decoding, dedicated chips and brain imaging. The 2026 national BCI conference was also held in Nanjing. The report summed up the city's strengths as research, medical resources, application scenarios and capital ecosystem.
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07-27 · Nanhu Brain-Computer Interface Institute +1 more China Papers Foundations & Methods

Preprint: UnSPC Cyclic Adaptation-Generalization Framework for Long-Term BMIs

A preprint proposes UnSPC (uncertainty-guided self-paced cyclic learning), a framework that integrates domain adaptation (DA) and domain generalization (DG) in an iterative cycle to address neural drift in long-term invasive brain-machine interfaces, where drift erodes decoding performance and forces frequent recalibration and where existing methods rely on DA or DG alone. Under an uncertainty-guided, self-paced pseudo-labeling scheme with a noise-robust ranking strategy, UnSPC iteratively mines reliable pseudo-labeled samples and, through cyclic adaptation and generalization, gradually mitigates both global and sub-domain drift. Experiments on multiple neural decoding datasets validated its effectiveness and robustness; the authors say it is the first method to integrate DA and DG through a pseudo-label loop. The study has not been peer reviewed.
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07-27 · NeuroXess China Policy & Regulation Regulatory Approval

NeuroXess 'Sanquan' BCI Enters CMDE Innovative Medical Device Review Program

NeuroXess announced that its self-developed implantable brain-computer interface system for hand motor function compensation — the 'fully implanted, fully wireless, fully functional' ('Sanquan') system — has passed public notice and formally entered the innovative medical device special review program of the National Medical Products Administration's Center for Medical Device Evaluation (CMDE), commonly known as the green channel. The company describes it as the first subdural implantable flexible BCI product in China to enter the program. The system began a GCP registration clinical trial at Huashan Hospital, Fudan University on July 7, 2026, run as a multicentre study across 15 Class III hospitals nationwide, with trial data intended to support a Class III medical device registration application with the NMPA. The system remains in the review and clinical-trial stage and has not yet been approved for market; the registration timeline reflects company statements and remains subject to regulatory notice.
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07-27 · Nanhu Brain-Computer Interface Institute +1 more China Papers Foundations & Methods

Preprint: SSCDL Enhances Neural Decoding Generalization in Brain-Machine Interfaces

A preprint proposes SSCDL, a self-supervised consistency-enhanced disentangled learning framework that decomposes motor signals into velocity, direction, and speed to capture representations invariant to neural drift and significantly enhance cross-day decoding generalization for invasive BMIs. The researchers report state-of-the-art decoding performance with high robustness and cross-day stability across extensive experiments; the work has not yet been peer reviewed.
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07-25 · Beijing Institute of Technology China Papers Foundations & Methods

Preprint: Position-Adaptive Time Scheduling for EEG Generation

A preprint proposes an adaptive EEG generation framework based on conditional flow matching to ease data scarcity in brain-computer interfaces and support large-scale neural modeling. Noting that existing flow methods assume one global time course across all channels and time segments, the framework adds position-adaptive time scheduling that tracks per-position reconstruction error to modulate each position's time course, plus decomposed spatiotemporal attention and a frequency-aligned multi-resolution spectral consistency loss to model cross-channel dependencies and compensate for EEG's power-law spectral bias. Across three EEG datasets with different acquisition protocols and task semantics, it consistently beat the strongest baselines, cutting TS-FID by up to 62.2% and lifting downstream classification accuracy by up to 6.77 percentage points. The study has not been peer reviewed.
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07-23 · Wuhan University of Science and Technology China Papers Rehabilitation & Assistance

Tianyou Hospital Review Finds Gains on Some Upper Limb Measures After BCI Training

A team at Tianyou Hospital, Wuhan University of Science and Technology conducted a systematic review and meta-analysis of motor imagery-based BCI training for upper limb dysfunction in people with post-stroke hemiplegia. The review included 27 studies; 24 studies involving 846 participants contributed to the meta-analyses. Compared with the respective study controls, training produced statistically significant improvements on upper limb motor assessments reflecting isolated movement and fine motor control. Effects on complex functional activities, activities of daily living and spasticity were not statistically significant. Because control conditions varied and included sham interventions, the evidence does not establish superiority over standardised traditional rehabilitation.
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07-22 · Huashan Hospital +1 more China Clinical Recruitment & Enrollment

NeuroXess Registers Fully Implanted Wireless Functional BCI Study for Upper-Limb Functional Replacement

NeuroXess registered a prospective, multicenter, single-arm trial (NCT07720882) enrolling people with tetraplegia caused by spinal cord injury to evaluate the safety and clinical efficacy of an implantable BCI system for compensatory hand movement and upper-limb functional replacement. The study is at the registration stage with no results yet.
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07-21 · National Research Center for Rehabilitation Technical Aids +2 more China Papers Foundations & Methods

Adding EMG to Hybrid BCI Expands Command Space from 15 to 60 Targets

Researchers have paired steady-state motion visual evoked potentials (SSMVEP) with electromyography (EMG) in a hybrid brain-computer interface, using a parallel architecture to expand the command space from 15 targets to 60. The multimodal setup reached an information transfer rate of 62.33 bits/min, against 42.49 bits/min for the best single-modality condition. Deep-learning decoding of the two signal streams held classification accuracy steady while lowering the effort required of users with severe motor impairment.
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07-20 · Shanghai Center for Brain Science and Brain-Inspired Technology +1 more China Papers Foundations & Methods

Ghost-LENet Tops 80% on Motor Imagery EEG Using a Few Thousand Parameters

Researchers have built Ghost-LENet, a lightweight convolutional network that classifies motor imagery EEG at 82.18% on the BCI Competition IV-2a dataset and 83.05% on IV-2b using only a few thousand trainable parameters. The design combines dilated temporal convolutions, a stationary wavelet transform, dynamic residual fusion and Ghost modules, holding accuracy while cutting model complexity for BCI hardware with little compute to spare.
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07-18 · Chinese Academy of Medical Sciences & Peking Union Medical College China Papers Foundations & Methods

Miniscope Enables Real-Time Neural Decoding

Beijing Normal University researchers developed a low-cost structured-illumination miniscope weighing less than 3 g. The system uses a Ronchi grating and time-multiplexed excitation for HiLo imaging, providing optical sectioning in freely behaving mice. It suppresses out-of-focus background fluorescence while retaining the speed, field of view, and accessibility of widefield miniscopes, and it supports optically sectioned multiplane imaging to increase neuronal yield. In hippocampal recordings, the researchers observed better region-of-interest signal quality and spatial-information readout. They also demonstrated a proof-of-principle closed-loop brain-machine interface supported by rapid online signal extraction and real-time neural decoding. The work is a bioRxiv preprint and has not been peer reviewed.
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07-17 · Inner Mongolia Medical University China Industry News Progress & Expansion

Inner Mongolia Opens First BCI Hospital Ward

The first brain-computer interface hospital ward in China's Inner Mongolia autonomous region was unveiled in Hohhot, CCTV.com reported on July 17, 2026. At the unveiling ceremony, Hurile, head of the rehabilitation medicine department at Inner Mongolia Medical University, delivered a briefing introducing the ward's construction, technical strengths and development plans, framing the ward as a starting point for building a new clinical rehabilitation ecosystem in the autonomous region. The report did not disclose the ward's bed capacity, equipment, patient scope or opening date, nor the full name of the hospital housing the ward.
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07-14 · Shanghai Sunshine Rehabilitation Center China Papers Foundations & Methods

Federated Graph Framework Fuses EEG and EMG to Decode Motor Intent

A team writing in Computing and Informatics has proposed FSDFGL, a federated graph learning framework that folds EMG into EEG when the graph is built and then shares only structural information between clients, avoiding the accuracy loss that comes with exchanging heterogeneous features. The design targets three problems in hybrid BCI work at once: the low spatial resolution of EEG, datasets that are small and privacy-sensitive, and the uneven data distributions federated learning has to cope with. Experiments on the TAN dataset show an advantage in identifying complex motor intentions.
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07-13 · Ministry of Civil Affairs China Policy & Regulation Industrial Planning

China Integrates BCI in Rehabilitation Device Innovation

Chinese authorities recently issued a three-year action plan for the rehabilitation assistive-device industry that integrates brain-computer interface (BCI), artificial intelligence and flexible electronics with rehabilitation device development, and pursues medical-engineering collaboration to drive technical breakthroughs in materials and components.
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07-13 · Shenzhen Hanix United China Clinical Progress & Expansion

Guangzhou Workshop to Demonstrate EEG-Driven Closed-Loop TMS in July

Clinicians and researchers in Guangzhou, southern China, will get hands-on time with closed-loop systems that trigger transcranial magnetic stimulation from real-time EEG analysis at a workshop on July 17, 2026. Shenzhen Yingchi Technology, one of the supporting companies, will bring EEG-driven closed-loop TMS devices and near-infrared brain function imaging equipment. The session is organized by the Professional Committee on Brain Function Detection and Regulation Rehabilitation of the Chinese Association of Rehabilitation Medicine, alongside the committee's 2026 annual conference and the 8th Brain Function Detection and Regulation Rehabilitation Forum.
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07-10 · Nanjing University of Science and Technology China Papers Foundations & Methods

Nuclear Electromagnetic Pulse Inhibits Rat Primary Motor Cortex LFP Bands

A study examining the potential brain risk of BCI electrodes exposed to strong electromagnetic fields applied nuclear electromagnetic pulse (NEMP) irradiation to rats with implanted brain electrodes and recorded local field potentials (LFPs) in the primary motor cortex (M1). At 200 kV/m, NEMP inhibited the alpha and delta LFP bands in resting rats, an effect linked to front-gate coupling between the pulse and the electrode, with the coupled current stimulating the brain and affecting its state of consciousness; the authors frame the work as early animal data for BCI electromagnetic protection.
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07-08 · Health Commission of Shandong Province China Policy & Regulation Industrial Planning

Shandong Bids to Be China BCI Testing Hub

Sixteen departments in China's Shandong province, led by the Health Commission, issued the Work Plan for Accelerating Clinical Translation and Application Innovation of Brain-Computer Interfaces, document number Lu Wei Yi Zi [2026] No. 13, dated July 7, 2026 and released on July 8. It is the only provincial BCI document led by a health authority and Shandong's second after the science department's industry plan. The plan advances a positioning it summarises as validated in Shandong, applied globally, working through an alliance, scenarios, policy and industry follow-through. Targets rise in four steps: an operating clinical research alliance in 2026; about 20 core technology breakthroughs and 30 technology SMEs by 2027; at least 30 alliance members, more than 20 foreign and domestic teams setting up validation bases, more than 30 multicentre projects and a 2 billion yuan industry by 2028; and a national validation cluster by 2030.
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07-08 · MEGIN China Industry News Progress & Expansion

MEGIN Opens Dual-MEG Hyperscanning Facility at Tsinghua to Record Two Brains at Once

MEG systems maker MEGIN says it has opened a side-by-side dual-MEG hyperscanning facility at Tsinghua University in Beijing, built with the Department of Neuroscience and Biomedical Engineering at Aalto University. Two MEGIN TRIUX neo systems sit in adjacent magnetically shielded rooms, which the company says allows simultaneous whole-head recording from two interacting participants with millisecond-level synchronization, opening a real-time window on how two brains interact during natural conversation, cooperation and play. MEGIN says the first scientific work from the facility will be presented at the BIOMAG 2026 conference in Beijing, running August 23 to 25, 2026; the announcement does not disclose what the facility cost, how long it took to build, or which research projects are already under way.
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07-08 · NeuroXess China Clinical Launch & Registration

NeuroXess Launches BCI Registration Trial to Evaluate Upper Limb Function Compensation in Tetraplegia

NeuroXess announced the launch of a GCP registration clinical trial at Huashan Hospital, Fudan University, for its implantable BCI system for hand motor function compensation. The trial aims to evaluate safety and efficacy for upper limb function compensation in people with tetraplegia caused by cervical spinal cord injury. According to the company, Professor Mao Ying's team serves as the principal investigator team, and the multicenter study involves 15 Grade III Class A hospitals. Data will support a Class III medical device registration application to the National Medical Products Administration. The system uses flexible electrodes on the cortical surface beneath the dura, with battery, wireless transmission and charging units under the skin of the chest. The announcement concerns trial initiation, not regulatory approval or demonstrated efficacy.
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