A Combined Magnetoelectric Sensor Array and MRI-Based Human Head Model for Biomagnetic FEM Simulation and Sensor Crosstalk Analysis

激发 磁场 人头 串扰 有限元法 传感器阵列 磁偶极子 声学 物理 偶极子 生物磁学 线性 电压 核磁共振 材料科学 光电子学 计算机科学 光学 机器学习 量子力学 热力学
作者
Mesut-Ömür Özden,Giuseppe Barbieri,Martina Gerken
出处
期刊:Sensors [MDPI AG]
卷期号:24 (4): 1186-1186
标识
DOI:10.3390/s24041186
摘要

Magnetoelectric (ME) magnetic field sensors are novel sensing devices of great interest in the field of biomagnetic measurements. We investigate the influence of magnetic crosstalk and the linearity of the response of ME sensors in different array and excitation configurations. To achieve this aim, we introduce a combined multiscale 3D finite-element method (FEM) model consisting of an array of 15 ME sensors and an MRI-based human head model with three approximated compartments of biological tissues for skin, skull, and white matter. A linearized material model at the small-signal working point is assumed. We apply homogeneous magnetic fields and perform inhomogeneous magnetic field excitation for the ME sensors by placing an electric point dipole source inside the head. Our findings indicate significant magnetic crosstalk between adjacent sensors leading down to a 15.6% lower magnetic response at a close distance of 5 mm and an increasing sensor response with diminishing crosstalk effects at increasing distances up to 5 cm. The outermost sensors in the array exhibit significantly less crosstalk than the sensors located in the center of the array, and the vertically adjacent sensors exhibit a stronger crosstalk effect than the horizontally adjacent ones. Furthermore, we calculate the ratio between the electric and magnetic sensor responses as the sensitivity value and find near-constant sensitivities for each sensor, confirming a linear relationship despite magnetic crosstalk and the potential to simulate excitation sources and sensor responses independently.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
所所应助科研通管家采纳,获得10
刚刚
EROS完成签到,获得积分10
刚刚
JamesPei应助科研通管家采纳,获得10
刚刚
在水一方应助科研通管家采纳,获得10
刚刚
zzz完成签到,获得积分10
刚刚
田様应助科研通管家采纳,获得10
刚刚
顾瑶发布了新的文献求助10
刚刚
小鹿发布了新的文献求助10
刚刚
只争朝夕应助科研通管家采纳,获得10
刚刚
Hello应助科研通管家采纳,获得10
刚刚
Ava应助科研通管家采纳,获得10
1秒前
丘比特应助科研通管家采纳,获得10
1秒前
bkagyin应助科研通管家采纳,获得10
1秒前
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
科目三应助科研通管家采纳,获得10
1秒前
zhonglv7应助科研通管家采纳,获得10
1秒前
半农应助科研通管家采纳,获得30
1秒前
懒骨头兄应助科研通管家采纳,获得10
1秒前
爆米花应助科研通管家采纳,获得10
1秒前
科目三应助科研通管家采纳,获得10
1秒前
00完成签到,获得积分10
1秒前
优美的冰巧完成签到 ,获得积分10
2秒前
Hello应助科研通管家采纳,获得10
2秒前
脑洞疼应助科研通管家采纳,获得10
2秒前
打打应助科研通管家采纳,获得10
2秒前
领导范儿应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得10
2秒前
汉堡包应助科研通管家采纳,获得10
2秒前
深情安青应助科研通管家采纳,获得10
2秒前
彭于晏应助科研通管家采纳,获得10
2秒前
彭于晏应助科研通管家采纳,获得20
2秒前
浮游应助科研通管家采纳,获得10
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
我是老大应助科研通管家采纳,获得10
3秒前
FashionBoy应助科研通管家采纳,获得10
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
浮游应助科研通管家采纳,获得10
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
3秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 1000
花の香りの秘密―遺伝子情報から機能性まで 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Chemistry and Biochemistry: Research Progress Vol. 7 430
Biotechnology Engineering 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5629957
求助须知:如何正确求助?哪些是违规求助? 4721200
关于积分的说明 14971845
捐赠科研通 4787915
什么是DOI,文献DOI怎么找? 2556638
邀请新用户注册赠送积分活动 1517713
关于科研通互助平台的介绍 1478320