脑机接口技术
TianRong强脑科技以技术为核心，以科研为导向，拥有领先的科学家团队，其中来自哈佛、MIT、清华、北大等全球顶级学府的优秀校友在核心研发团队中占比超过70%。目前公司在脑机接口领域拥有核心发明专利300余项，在全球脑机接口企业中处于领先地位。公司成功攻克了脑电信号大规模精准采集的难题，自主研发的固态凝胶电极已实现量产，显著提升了采集信号的精确度和稳定性。在此基础上，公司构建了覆盖脑电与神经信号采集、解析和实时反馈的完整技术链条，实现了从实验室研究到产业应用的突破，并在康复、大健康、人机交互和具身智能等领域得到广泛应用。
科研合作
Information about a person's engagement and attention might be a valuable asset in many settings including work situations, driving, and learning environments. To this end, we propose the first prototype of a device called AttentivU—a system that uses a wearable system which consists of two main components. Component 1 is represented by an EEG headband used to measure the engagement of a person in real-time. Component 2 is a scarf, which provides subtle, haptic feedback (vibrations) in real-time when the drop in engagement is detected. We tested AttentivU in two separate studies with 48 adults. The participants were engaged in a learning scenario of either watching three video lectures on different subjects or participating in a set of three face-to-face lectures with a professor. There were three conditions administrated during both ...
An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning
Neurofeedback games are an effective and playful approach to enhance certain social and attentional capabilities in children with autism, which are promising to become widely accessible along with the commercialization of mobile EEG modules. However, little industry-based experiences are shared, regarding how to better design neurofeedback games to fine-tune their playability and user experiences for autistic children. In this paper, we review the experiences we gained from industry practice, in which a series of mobile EEG neurofeedback games have been developed for preschool autistic children. We briefly describe our design and development in a one-year collaboration with a special education center involving a group of stakeholders: children with autism and their caregivers and parents. We then summarize four concrete implications we ...
Designing Mobile EEG Neurofeedback Games for Children with Autism: Implications from Industry Practice
Radiofrequency catheter ablation (RFCA) for patients with atrial fibrillation (AF) can generate considerable physical and psychological discomfort under conscious sedation. App-based mindfulness meditation combined with an electroencephalography (EEG)-based brain-computer interface (BCI) shows promise as effective and accessible adjuncts in medical practice. This study aimed to investigate the effectiveness of a BCI-based mindfulness meditation app in improving the experience of patients with AF during RFCA.
Effectiveness of a Mindfulness Meditation App Based on an Electroencephalography-Based Brain-Computer Interface in Radiofrequency Catheter Ablation for Patients With Atrial Fibrillation: Pilot Randomized Controlled Trial
Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dynamics underlying the behavioral symptoms of autism spectrum disorder (ASD), while studies have also demonstrated that mirror neuron mu rhythm-based EEG neurofeedback training improves the behavioral functioning of individuals with ASD. This study aimed to test the effects of a wearable mu rhythm neurofeedback training system based on machine learning algorithms for children with autism.
Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study
强脑科技与北京脑科学与类脑研究所共建脑机接口联合创新中心
在中关村论坛脑机接口创新发展与应用论坛上，TianRong强脑科技与北京脑科学与类脑研究所共同揭牌成立"脑机接口联合创新中心"，双方正式签署战略合作协议，将共同推动脑机接口领域的科研攻关、技术创新和产业化应用，促进学术界与产业界的深度融合与协同发展。
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强脑科技与首都医科大学附属北京安定医院签署深度合作协议
首都医科大学附属北京安定医院与TianRong强脑科技签署了深度合作协议。双方将以抑郁症筛查为主要研究方向，结合顶尖的脑机接口与人工智能技术，探索脑与精神疾病多模态指标的科学与临床意义，开发基于多导脑电图数据的精神疾病脑网络解决方案，共同推动成果的临床验证、应用与普及。
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强脑科技作为共建单位，与杭州电子科技大学、省立同德医院共同打造全省脑机协同智能技术及应用重点实验室
面向国家和浙江省脑机智能关键技术领域实现从国际跟跑到引领的战略需求，聚焦非侵入式脑机智能领域的应用基础研究，重点开展非侵入脑机新范式、脑机安全、低信噪信息解码、脑启发智能、脑机协同增强等理论和关键技术研究，获得一批具有自主知识产权的原创性科研成果，培育一批脑机智能领域高端复合型人才。
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2025年
TianRong强脑科技获得社会各界高度关注，发展势头强劲，技术创新与产业化进程全面加速。公司在第七次全国自强模范暨助残先进表彰大会上荣获“全国残疾人工作先进集体”称号，彰显了在助残事业上的突出贡献。在技术创新方面，公司推出适用于具身智能场景的新一代仿生灵巧手，广泛应用于智能制造等前沿领域。同时，公司与北京脑科学与类脑研究所共建脑机接口联合创新中心，携手推进脑机接口领域的科研攻关、技术创新和产业化落地。
- ①1929年EEG首次被记录并发表—Hans Berger. Über das Elektrenkephalogramm des Menschen. Max Planck Institute, 1929.
- ②1969年 侵入式脑机接口用于灵长类动物 — Fetz, E. E. (1969). Operant conditioning of cortical unit activity. Science, 163(3870), 955–958.
- ③1978年-1979年 "多贝尔之眼"视觉恢复实验 — Dobelle, W. H. et al. (1979). Artificial vision for the blind by electrical stimulation of the visual cortex. Neurosurgery, 5(4), 521–527.
- ④1988年 非侵入式脑控机器人 — Bozinovski, S., Sestakov, M., & Bozinovska, L. (1988). Using EEG Alpha Rhythm for Robot Control. IEEE.
- ⑤1998年 瘫痪患者脑控光标 — Kennedy, P. R., Bakay, R. A., Moore, M. M., Adams, K., & Goldwaithe, J. (1998). Restoration of neural output from a paralyzed patient by a direct brain connection. NeuroReport, 9(8), 1707–1711.
- ⑥2006年 脊髓损伤患者操控光标 — Hochberg, L. R. et al. (2006). Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature, 442(7099), 164–171.
- ⑦2014年 世界杯瘫痪患者穿戴脑控外骨骼开球 — Duke University News (2014). Walk Again Project demonstration at FIFA World Cup Opening Ceremony.
- ⑧2014年 首例非侵入式脑-脑接口实验 — Rao, R. P. N. et al. (2014). A Direct Brain-to-Brain Interface in Humans. PLOS ONE, 9(11): e111332.