Electromagnetic Imaging: A Novel Approach for Brain Stroke Detection and Diagnosis

Abstract

Electromagnetic Imaging (EMI) has emerged as a promising non-invasive technology for brain imaging, leveraging dielectric property variations in healthy and stroke-affected tissues. This review explores EMI’s principles, hardware architecture, and computational methodologies employed for stroke detection and classification. The paper examines EMI’s advantages, challenges, and future clinical implications, emphasizing its potential to revolutionize neurdiagnostic methods.