Healthcare Systems

The Healthcare Systems research theme at the Advanced Microsystems and Smart Engineering Laboratory (AMEL) focuses on the development of intelligent, connected, and deployable healthcare technologies for decentralized and resource-limited healthcare environments. Our work integrates biomedical instrumentation, sensing systems, embedded electronics, portable diagnostics, wireless communication, and intelligent healthcare analytics to develop scalable healthcare solutions with real-world clinical relevance.

The laboratory adopts a systems-level engineering approach toward healthcare technology development, combining hardware, software, sensing, and diagnostic integration into compact and user-oriented healthcare platforms. The primary goal of this research area is to transform complex laboratory processes into portable and accessible healthcare technologies capable of supporting rapid diagnostics, remote monitoring, and decentralized clinical decision-making.

Core research areas

• Intelligent healthcare technologies
• Decentralized diagnostic systems
• Connected healthcare platforms
• Embedded healthcare systems
• Portable biomedical instrumentation
• AI-assisted healthcare technologies
• Healthcare signal acquisition and analytics
• Remote and wearable health monitoring
• Smart diagnostic interfaces
• Resource-limited healthcare technologies

Current research activities

• Development of portable healthcare instrumentation for point-of-care applications
• Integration of sensing systems with embedded healthcare electronics
• Development of fluorescence and imaging-based diagnostic systems
• Embedded firmware and hardware development for healthcare technologies
• AI-assisted healthcare data interpretation and smart diagnostics
• Wireless and connected healthcare device development
• System-level integration of diagnostic and sensing platforms
• Rapid prototyping of deployable healthcare technologies

Technologies and platforms

• Embedded systems and firmware
• Biomedical sensors and signal acquisition
• STM32, ESP32 and Raspberry Pi platforms
• Fluorescence detection systems
• Portable imaging and diagnostic platforms
• Wireless and IoT healthcare technologies
• AI-assisted diagnostic systems
• Biomedical PCB and electronics design
• Smart sensing and data acquisition systems

Applications

• Point-of-care diagnostics
• Decentralized healthcare systems
• Remote patient monitoring
• Portable healthcare technologies
• Smart medical devices
• Resource-limited healthcare solutions
• Wearable health monitoring systems
• Connected healthcare ecosystems