Application of Intelligent Medical Sensing Technology

Area of Science:

• Biomedical Engineering
• Materials Science
• Computer Science

Background:

• Intelligent sensing and modern medical technology advancements necessitate intelligent medical sensing.
• Traditional medical sensors lack the accuracy, reliability, and data processing capabilities required for modern healthcare trends like personalized medicine and cloud medicine.
• Integrating computer technology with sensor technology is crucial for overcoming performance limitations of traditional sensors.

Purpose of the Study:

• To review the applications of intelligent medical sensing technology in biomedical detection.
• To highlight the evolution of medical sensors towards intelligence, portability, and wearability.
• To discuss the integration of basic sciences with modern technologies like AI and semiconductors in medical sensing.

Main Methods:

• Focuses on the integration of medical sensors with microprocessors to create intelligent sensors.
• Discusses the incorporation of features like self-compensation, self-calibration, self-diagnosis, and digital output.
• Reviews applications across physical sensors, chemical sensors, and biosensors.

Main Results:

• Intelligent medical sensors offer enhanced functionalities beyond traditional sensors, including data processing and communication.
• The technology aligns with trends in cloud medicine, personalized medicine, and health monitoring.
• The review categorizes applications into physical, chemical, and biosensing detection.

Conclusions:

• Intelligent medical sensing technology is a promising field in medicine, driven by advancements in AI and semiconductor technology.
• These intelligent sensors are essential for meeting the demands of modern automated and intelligent measurement and control systems.
• The technology enables the development of high-performance, portable, and wearable medical devices for diverse biomedical applications.