研究目的
To address the challenge of doctors monitoring a large number of patients by leveraging LIFI and IOT technologies for a health monitoring system.
研究成果
The combination of LIFI and IOT offers a non-interfering, efficient solution for remote health monitoring, enabling doctors to manage patients globally and respond quickly to emergencies, with applications extending to other fields like traffic and garbage monitoring.
研究不足
The paper does not explicitly mention limitations, but potential constraints could include the range of LIFI (requires line of sight), security concerns in IOT, and dependency on internet connectivity.
1：Experimental Design and Method Selection:
The system uses LIFI for data transmission via visible light spectrum and IOT for data storage and access. It involves sensors to collect patient data, a controller for processing, and cloud-based IOT for analysis and feedback.
2：Sample Selection and Data Sources:
Patient data such as ECG, temperature, SpO2, pulse rate, etc., are collected using wireless sensors.
3：List of Experimental Equipment and Materials:
Sensors (e.g., ECG, LM35, SpO2, accelerometer), LED bulbs for LIFI transmission, microcontrollers, and IOT platforms.
4：Experimental Procedures and Operational Workflow:
Data from sensors is sent to a controller, processed, checked against threshold values, and uploaded to IOT via LIFI internet. Doctors access the data through a secure webpage to provide feedback.
5：Data Analysis Methods:
Data is analyzed using data mining units in IOT, with feedback provided based on predefined rules.
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