Enterprises

This project focuses on integrating 5G technology and AIoT (Artificial Intelligence of Things) to provide innovative smart solutions in sleep care. Leveraging 5G’s high-speed connectivity and low latency, we have developed an intelligent sleep care system designed to offer users more accurate sleep monitoring and improvement recommendations. 
The system collects sleep data through multiple sensors and transmits it in real-time via 5G to the cloud for analysis, generating detailed sleep reports and health assessments. These insights help users understand their sleep patterns and receive personalized recommendations based on their specific needs.

By deeply combining 5G and AIoT, this project aims to deliver a comprehensive smart sleep solution that enhances sleep quality, improves overall health, and elevates quality of life. This innovative system is set to
play a crucial role in future healthcare, smart home, and personalized health applications.

This project focuses on 5G AIoT smart healthcare technologies, targeting early detection and real-time monitoring of atrial fibrillation (AF). Through 5G low-latency communication and AI-powered ECG analysis, the system efficiently transmits ECG signals and automatically identifies AF-related abnormal rhythms—such as the disappearance of P waves and irregular RR intervals—to enable early medical intervention.
The AI algorithm performs deep learning analysis on ECG data and provides anomaly alerts via a cloud platform. When an AF episode is detected, the system automatically sends warnings to doctors, nurses, or patients for immediate action. Additionally, this technology can be integrated into wearable devices for long-term monitoring of high-risk groups, such as individuals with hypertension, diabetes, or cardiovascular diseases, thereby offering more comprehensive health management.

This project integrates 5G communication technology with AI to develop smart healthcare applications, focusing on hyperkalemia detection through ECG signal analysis for early warning. Leveraging the highspeed and low-latency features of 5G networks, ECG data can be uploaded and analyzed in real-time, helping medical teams quickly identify ECG abnormalities related to hyperkalemia, such as peaked T waves.
The system uses AI models to intelligently interpret ECG signals and automatically notifies healthcare providers and patients through a cloud platform. When hyperkalemia is suspected, the system sends instant alerts for further examination or treatment. Additionally, the technology can be applied to remote monitoring of chronic kidney disease and dialysis patients, offering long-term health management solutions.

This project focuses on the development of 5G chip systems, aiming to design a high-performance core chip that supports multiple 5G communication standards, including mmWave and Sub-6 GHz frequency bands. These chips will be designed and optimized to ensure excellent performance in 5G communication.
In addition to hardware design, the project will emphasize the deep integration of software development and hardware, particularly supporting programmable hardware technologies to enable dynamic adjustment and optimization of network functions, further enhancing system flexibility and efficiency.