NCC Electrophysiology’s Wireless Polysomnography System Selected for AI Medical Device Innovation Task Project under Open Competition System

Advancing intelligent sleep monitoring through flexible sensing and multimodal data processing

The shortlist for the 2025 AI Medical Device Innovation Task Project under Open Competition System was officially announced following a joint organization by the Department of Science and Technology of the Ministry of Industry and Information Technology and the Medical Device Registration Administration Department of the National Medical Products Administration.

Our independently developed Intelligent Wireless Multichannel Polysomnography System Based on Flexible Sensing and Multimodal Collaboration was selected for the project and included in the category of intelligent monitoring and life-support products. The selection marked the project’s entry into a national-level selection and research initiative.

Wireless Multichannel Polysomnography System

Our wireless multichannel polysomnography system integrated flexible sensing, multimodal physiological signal acquisition and wireless data transmission to support sleep monitoring across clinical and health-management settings.

The system featured:

• 8-channel EEG monitoring;
• 13-channel polysomnography monitoring;
• Eye movement monitoring;
• Chin EMG monitoring;
• Oral and nasal airflow monitoring;
• Snoring monitoring;
• Thoracic and abdominal respiratory movement monitoring;
• ECG monitoring;
• Blood oxygen saturation monitoring;
• Pulse-rate monitoring;
• Body-position monitoring; and
• Limb EMG monitoring.

The system captured multidimensional physiological data throughout sleep cycles. Its wireless design supported flexible monitoring, while the integrated sensing and data-processing capabilities supported sleep-monitoring workflows.

Supporting Sleep-Disorder Screening and Management

The system supported screening and management workflows for people at risk of sleep-related breathing disorders, including obstructive sleep apnea. It connected screening, diagnostic assessment and follow-up management through continuous sleep monitoring.

By recording multiple physiological signals during sleep, the system also supported the observation of heart-rhythm changes and sleep-structure variations. These data supported the assessment of cardiovascular and sleep-related comorbidities and assisted clinical decision-making.

Extending Sleep Monitoring Across Medical Settings

The system was designed for use in a range of settings, including:

• Sleep centers;
• Respiratory medicine departments;
• Cardiology departments;
• Neurology departments;
• Primary healthcare institutions; and
• Health-management services.

Through wireless monitoring and integrated data acquisition, the system supported the wider delivery of sleep-monitoring services across different levels of healthcare and helped extend access to sleep-related assessment resources.

Advancing AI-Enabled Sleep Medicine

The project selection provided a new opportunity for us to advance intelligent sleep-monitoring technology. We continued to focus on technical development, clinical validation and collaboration with medical institutions and industry partners.

By integrating artificial intelligence with sleep medicine, we explored new approaches to sleep monitoring, multimodal physiological-data analysis and clinical application. We also continued to develop connected workflows covering sleep screening, assessment and follow-up management.

Continuing to Develop Sleep and Electrophysiology Solutions

The selection of our wireless polysomnography system for the 2025 AI Medical Device Innovation “Open Competition System” project represented a further step in our work in intelligent monitoring and life-support technologies.

We continued to work with medical institutions and industry partners to advance technology development, clinical validation and the application of AI-enabled sleep-monitoring solutions. Through ongoing innovation and collaboration, we remained committed to developing electrophysiology products that addressed clinical needs and supported the development of sleep medicine.