JOURNAL ARTICLE

Clinical electromagnetic brain scanner

Abstract

Abstract Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential to assess treatment efficacy and detect complications earlier. While computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used for stroke diagnosis, they cannot be easily used onsite, nor for frequent monitoring purposes. To meet those requirements, an electromagnetic imaging (EMI) device, which is portable, non-invasive, and non-ionizing, has been developed. It uses a headset with an antenna array that irradiates the head with a safe low-frequency EM field and captures scattered fields to map the brain using a complementary set of physics-based and data-driven algorithms, enabling quasi-real-time detection, two-dimensional localization, and classification of strokes. This study reports clinical findings from the first time the device was used on stroke patients. The clinical results on 50 patients indicate achieving an overall accuracy of 98% in classification and 80% in two-dimensional quadrant localization. With its lightweight design and potential for use by a single para-medical staff at the point of care, the device can be used in intensive care units, emergency departments, and by paramedics for onsite diagnosis.

Keywords:
Headset Medicine Stroke (engine) Magnetic resonance imaging Medical physics Scanner Quadrant (abdomen) Computer science Radiology Medical emergency Artificial intelligence Pathology

Metrics

22
Cited By
8.09
FWCI (Field Weighted Citation Impact)
47
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Microwave Imaging and Scattering Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Wireless Body Area Networks
Physical Sciences →  Engineering →  Biomedical Engineering
Electrical and Bioimpedance Tomography
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.