School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD4072, Australia.
Faculty of Medicine, The University of Queensland, St Lucia, QLD4072, Australia.
Sci Rep. 2024 Mar 8;14(1):5760. doi: 10.1038/s41598-024-55360-7.
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.
中风是全球范围内导致死亡和残疾的主要原因,因此早期诊断和及时的医疗干预至关重要。频繁监测中风患者对于评估治疗效果和更早发现并发症也非常重要。虽然计算机断层扫描(CT)和磁共振成像(MRI)常用于中风诊断,但它们不能在现场使用,也不适合频繁监测。为了满足这些需求,已经开发出一种电磁成像(EMI)设备,该设备便携、非侵入性且非电离,使用带有天线阵列的耳机,用安全的低频电磁场辐照头部,并捕获散射场,使用一组基于物理和数据驱动的互补算法绘制大脑图,从而能够实现中风的准实时检测、二维定位和分类。本研究报告了该设备首次在中风患者身上使用的临床结果。对 50 名患者的临床结果表明,分类的总体准确率为 98%,二维象限定位的准确率为 80%。该设备重量轻,护理点可由一名非医疗专业人员使用,因此可在重症监护病房、急诊室和急救人员中用于现场诊断。