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May 2026

Onward Medical Implants First Participant in Empower BP Pivotal Trial

Onward Medical said the first participant in its global Empower BP pivotal study was enrolled and implanted with the investigational ARC-IM system at Craig Hospital in Denver during the first quarter of 2026. The randomized, double-blind, sham-controlled trial is evaluating management of blood-pressure instability after spinal cord injury across about 20 planned centers. Empower BP is not an upper-limb BCI trial, and the first implant did not take place in the Netherlands.
Why it matters Empower BP moves implantable spinal stimulation into a global pivotal test of autonomic function, with the sham-controlled blood-pressure outcome as the key evidence.

Jiangxi Sets 10-Day Clock on BCI Ethics Review

The Jiangxi Provincial Health Commission in eastern China issued Guidelines for Ethics Review of Brain-Computer Interface Clinical Research Projects on May 26, 2026, document number Gan Wei Ke Jiao Fa [2026] No. 8, providing implementing detail for the mutual recognition mechanism proposed in the province's November 2025 BCI measures. For multicentre projects the lead institution's ethics committee conducts the first full review; participating institutions should finish within 10 working days of receiving complete materials and examine only local research conditions, staff qualifications and the informed-consent process; and the lead institution must file with the provincial medical ethics expert committee within 10 working days. Invasive projects treating neurological or psychiatric disease need provincial committee review within 20 working days, with an opinion issued within a further seven.
Why it matters This turns mutual recognition of ethics review from principle into deadlines that can be checked, so far the only such rulebook among Chinese provinces. The extra provincial review for invasive projects looks like added friction but actually shifts part of the liability for high-risk work off participating hospitals, without which they would not accept another institution's approval.

Xuanwu Hospital Registers Trial Combining Non-invasive BCI, Spinal Cord Stimulation and Exoskeleton for Spinal Cord Injury

Can a non-invasive brain-computer interface read motor intention and, combined with spinal cord stimulation and exoskeleton training, improve function after spinal cord injury? Xuanwu Hospital, Capital Medical University has registered a single-arm exploratory trial that plans to enroll 10 patients aged 18 to 65 with spinal cord injury. The intervention combines all three into one rehabilitation regimen. The primary outcome is the overall clinical efficacy rate 6 months after surgery; secondary outcomes include improvement in the Visual Analogue Scale for pain and the incidence of adverse events related to the trial devices.
Why it matters This registered trial combines a non-invasive brain-computer interface, spinal cord stimulation and exoskeleton rehabilitation into one sequential treatment for motor dysfunction of the upper and lower limbs after spinal cord injury. It is single-arm, plans to enroll 10 patients, and lists a first-enrolment date of May 30, 2026. The primary endpoint is read at 6 months after surgery, and recruitment has not yet begun.

Xi'an Jiaotong University Second Hospital Registers BCI Lower-Limb Stroke Trial for 222 Patients

The multicenter randomized controlled trial plans to enroll 222 patients who are 1 to 3 months past their first stroke and have motor impairment in the affected lower limb. The experimental group will receive 4 weeks of motor imagery-based BCI-driven active and passive lower limb training, while the control group gets 4 weeks of conventional training. The primary outcome is the Fugl-Meyer Assessment Lower Extremity Section, with balance, daily living ability and walking classification as secondary outcomes. First enrolment is set for May 31, 2026.
Why it matters The trial pairs motor imagery-based BCI with active and passive lower limb training against a conventional-training control, a design that can show whether the BCI component adds benefit. At 222 participants, it is a comparatively large BCI lower-limb stroke rehabilitation trial in China, and the Fugl-Meyer lower extremity section is a widely accepted scale in the field. First enrolment is set for May 31, 2026, so this is a protocol registration, not an efficacy result.

Xi'an Jiaotong University Second Hospital Registers BCI Ankle Rehabilitation Trial in 120 Stroke Patients

The multicenter randomized controlled trial pits closed-loop BCI ankle training against conventional active and passive ankle training in subacute stroke patients who are 4 to 12 weeks past onset and have less than 10 degrees of active ankle dorsiflexion. Primary endpoints are active ankle dorsiflexion range of motion and Manual Muscle Testing of the ankle; secondary endpoints include Functional Ambulation Classification, the Berg Balance Scale and the Fugl-Meyer Motor Assessment of the Lower Limb. The trial plans to enroll 120 patients, 60 per arm, with first enrolment set for May 31, 2026.
Why it matters Foot drop and ankle inversion after stroke directly limit walking, and conventional rehabilitation often leaves ankle dorsiflexion short. This trial sets closed-loop BCI ankle training against conventional active and passive training in a parallel design, with primary endpoints tied to ankle range of motion and muscle strength rather than broad functional scales. It targets patients 4 to 12 weeks past onset and plans 120 participants, with first enrolment on May 31, 2026, though the registry lists no device model or actual enrolment figures yet.

Enhancing Brain Signal Generation Through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models

The study introduces RLED, a reinforcement learning-enhanced EEG diffusion framework for adaptive data augmentation in endogenous EEG tasks such as motor imagery and emotion recognition. Reinforcement learning dynamically regulates the diffusion training process to balance temporal, spectral and category-related features. Across four datasets, the high-quality synthetic EEG signals it generated consistently improved classification performance.
Why it matters Synthetic EEG that reliably lifts classification attacks the data-collection bottleneck — subject fatigue and inter-subject variability — that caps how much real training data BCI developers can gather.

China Registers Trial of Multimodal BCI for Early Alzheimer's Screening

A Chinese team has registered a clinical trial of a multimodal brain-computer interface system for intelligent diagnosis and treatment, aimed at early screening and non-invasive modulation of Alzheimer's disease. The entry, ChiCTR2600125240, was filed with the Chinese Clinical Trial Registry on May 22, 2026 and is carried by the WHO International Clinical Trials Registry Platform; recruitment has not begun.
Why it matters Most BCI clinical work aims to restore lost movement or speech, so pointing a non-invasive system at Alzheimer's screening reframes the technology as a diagnostic, with a far larger addressable population and a much lower device-risk threshold; with recruitment not started, this is a registered intention rather than a result.

Xi'an Jiaotong University First Affiliated Hospital Registers Multicenter Trial of SSVEP-BCI-Driven Stimulation for Post-Stroke Dysphagia

The trial tests whether a steady-state visual evoked potential (SSVEP) brain-computer interface can drive functional electrical stimulation of swallowing muscles more effectively than conventional neuromuscular electrical stimulation. It plans to enroll 90 patients, 45 per arm, all within 6 months of a first ischemic or hemorrhagic stroke and aged 18 to 80. The primary outcome is the Standard Swallowing Assessment, with secondary measures including the Functional Oral Intake Scale and the Penetration-Aspiration Scale. First enrollment is listed for June 1, 2026.
Why it matters This is an uncommon multicenter randomized controlled trial that pairs an SSVEP brain-computer interface with swallowing rehabilitation, and its comparator is conventional neuromuscular electrical stimulation already used in practice rather than a sham, so the comparison is between two active treatments. Dysphagia affects whether patients can eat orally and their risk of aspiration; the primary endpoint is the Standard Swallowing Assessment, backed by the Penetration-Aspiration Scale and the Functional Oral Intake Scale. The trial plans 90 participants, with first enrollment listed for June 1, 2026, and no results posted yet.

Shanghai Ninth People's Hospital Registers BCI Trial in Burning Mouth Syndrome, Plans 38 Participants

Burning mouth syndrome produces months or years of burning oral pain with no visible lesion on examination, and treatment options are limited, leaving patients shuttling between oral medicine and psychiatry. A randomized, sham-controlled interventional trial registered by Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, will apply transcranial direct current stimulation over the left dorsolateral prefrontal cortex while collecting resting-state brain function and structural imaging, tracking pain, anxiety, depression, sleep and salivary flow. The trial is funded by the hospital's Brain-Computer Interface Special Research Program and registered as ChiCTR2600124987 on May 20, 2026. It plans to enroll 38 participants, 19 in the active group and 19 in the sham group, with first enrollment set for June 1, 2026; recruitment has not yet started.
Why it matters Burning mouth syndrome has no clear lesion and few treatment options, leaving patients shuttling between oral medicine and psychiatry. This trial, sponsored by Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, pairs prefrontal stimulation with resting-state brain function, structural imaging and salivary measures in one assessment battery, asking whether measurable central changes underlie the pain. It uses a randomized sham-controlled design, but enrolls only 38 people and its primary endpoint is oral mucosal pain level; results are not yet available.

Researchers Switch EEG Emotion Recognition Between Batch and Stream, Reaching up to 94%

Researchers have built a hybrid batch-stream framework for EEG-based emotion recognition, which until now has had to choose between accurate but slow offline batch processing and fast but less accurate real-time streaming. The system estimates whether the streaming module is currently reliable from its past performance, then decides probabilistically whether to use the batch or the streaming output. It achieved classification accuracies of 85%, 94% and 74% on the public DEAP, AMIGOS and SEED benchmarks, and was also tested under concept drift, when data distributions shift over time. Results come from offline evaluation on public datasets and have not been validated with real users.
Why it matters Emotion recognition used in feedback systems cannot avoid the speed-accuracy trade-off, and this work tackles it with a reliability-based switch rather than a new model. The wide spread in accuracy across datasets suggests the approach is not yet robust enough to judge for deployment.

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