Abstract

Overview

The magnetic field exposure of laptop users is a critical area of research due to potential health risks. This study introduces an artificial neural network model designed specifically to predict the low-frequency magnetic fields emitted by laptops, considering both AC and battery power sources.

Findings

• The model utilizes data from 10 different laptop models and a 3-input vector for typical laptop characteristics.
• Classification of magnetic field data indicates a significant difference in emission levels when laptops are powered by AC compared to battery, with AC powering producing almost double the magnetic field strength.
• The study further classifies these emissions into levels that are classified as safe or dangerous based on their intensity, providing critical information on which laptops emit safer levels of electromagnetic fields.

Conclusion

This research not only catalogues the electromagnetic emissions from laptops but also proposes recommendations for safer laptop usage. Future plans include expanding this analysis to tablet devices, indicating ongoing commitment to understanding and mitigating EMF risks from common electronic devices.