Home Xiangyu Medical Featured on CCTV: Brain-Computer Interface Technology Brings New Momentum to Elderly Care and Rehabilitation

Xiangyu Medical Featured on CCTV: Brain-Computer Interface Technology Brings New Momentum to Elderly Care and Rehabilitation

Oct 31, 2025 21:00 CST Updated 21:00
Sunnyou

Intelligent Rehabilitation Equipment R&D and Manufacturer

(Source:Sunnyou Medical

Source: Sunnyou Medical

"

According to the "2024 Survey Report on the Current Status of Elder Care Workers" released by the China Foundation for the Development of Aging Undertakings:It is predicted that before 2035, the elderly population in China will exceed 400 million, and by 2050, the population aged 60 and above will reach approximately 500 million.Home-based elderly care (accounting for over 95% of the elderly population) is the primary care scenario.

"

From daily care to safety protection, from rehabilitation training to emotional companionship, intelligent rehabilitationRobot, and cutting-edge technologies such as brain-computer interfaces are being integrated into the health and wellness lifestyles of the elderly.

Recently,"Smart Future - Nanny Robot Conference"Successfully held at the Chengdu Century City New International Convention and Exhibition Center, allowing the public to intuitively experience the specific applications of technology-enabled elderly care. Sunnyou showcased its "Brain-Computer Interface+" product series at the exhibition, helping seniors engage in scientifically precise rehabilitation training, and received significant attention and coverage from CCTV's "News 1+1" program!

At the exhibition, the person in charge of Sunnyou Medical gave a detailed introduction to the core product of this exhibition to the media — the brain-computer interface active and passive rehabilitation training device for upper and lower limbs: “This product breaks through the technical barriers of traditional rehabilitation training. Patients only need to wear a lightweight EEG acquisition device to decode EEG signals, and their motor intentions can be transformed into control commands to drive the active-passive rehabilitation training equipment for upper and lower limbs, realizing upper and lower limb movement training under the "mind" control of patients."This 'mind-driven' rehabilitation model not only significantly enhances patients' initiative and enthusiasm for rehabilitation training but also enables precise training tailored to individual patient conditions, improving rehabilitation outcomes."

Brain-Computer Interface - Application Scenarios of Active and Passive Rehabilitation Training Devices for Upper and Lower Limbs

Currently, 150 hospitals across China are using the brain-computer interface-based active-passive rehabilitation training device for upper and lower limbs. Based on clinical application data, the product is mainly suitable for stroke patients aged between 45 and 70, with a significant proportion being elderly individuals. Considering the relatively weaker physical conditions and longer rehabilitation cycles typical of elderly patients, this product offers scientific, systematic, and personalized rehabilitation treatment plans. It helps elderly patients gradually regain motor functions, improve self-care abilities, reduce family caregiving burdens, and support healthy living for the senior population.

Sunnyou Medical launched brain-computer interface research and development in 2015, and established the Sun-BCI Lab Brain Science Laboratory in 2024, further developing five major platforms: Sun Link, Sun Dip, Sun Brain, Sun Live, and Sun BME, forming a full-cycle rehabilitation ecosystem of "acquisition-decoding-execution-feedback".

Sunnyou has independently developed in five key areas of brain-computer interface: hardware, chips, electrodes, algorithms, and brain-computer interactive rehabilitation devices, and has overcome three major technical bottlenecks:

☑ Flexible Electrode Technology:High-precision flexible sensors are used to capture EEG signals without traditional conductive paste, improving patient wearing comfort.

☑AI Decoding Algorithm:Deep learning models have high accuracy in recognizing movement intentions and significantly improve speed compared to traditional methods.

☑ Closed-loop Feedback System:After EEG signals trigger device actions, real-time tactile feedback enhances the reconstruction of the "brain-limb" neural circuit.

Notably, as Shandong, Hubei, Zhejiang, Jiangsu, and other regions in China have included brain-computer interface rehabilitation training in the scope of medical insurance payments, local medical insurance policies are gradually covering brain-computer interface rehabilitation projects. This initiative not only significantly reduces the financial burden of rehabilitation treatment for elderly patients but also allows once lab-exclusive advanced technologies to step out of laboratories, enter clinical settings in hospitals, and integrate into the daily lives of elderly patients. It accelerates the popularization and implementation of these technologies, bringing good news to more elderly individuals with rehabilitation needs and further broadening the pathways and spaces for "brain-computer interface +" products to support eldercare.