无磁场调制的SERF磁强计的带宽增强

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-02-24 DOI:10.1109/JSEN.2025.3542464

Ma Xiao;Bolin Qin;Yixuan Yang;Kaiyan He;Congcong Li;Jingwei Sheng;Lili Yu;Yingkun Huang;Wei Pang;Bingjiang Lyu;Jia-Hong Gao

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引用次数: 0

摘要

脑磁图（MEG）使用光泵磁强计（OPMs）能够精确测量大脑神经活动与增强的信号强度和空间细节。大多数OPM-MEG系统使用无自旋交换松弛（SERF） opm，通常具有高达500 Hz的窄带宽（$^{\text{1/2}}$）。我们的方法使单个opm的带宽增加了大约8倍，并将传感器阵列合成梯度仪的共模抑制比（CMRR）提高了5倍以上。因此，增强的紧凑型MFMF SERF OPM具有宽响应带宽，高灵敏度和无串扰效应的特点，具有开发高密度检测阵列的潜力，能够在宽频率范围内以卓越的空间分辨率进行更准确和可靠的生物磁成像。

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Bandwidth Enhancement for Magnetic-Field-Modulation-Free SERF Magnetometers

Magnetoencephalography (MEG) using optically pumped magnetometers (OPMs) enables precise measurement of brain neural activity with enhanced signal strength and spatial detail. Most OPM-MEG systems use spin-exchange-relaxation-free (SERF) OPMs, which have a narrow bandwidth (<100> $^{\text {1/2}}$ up to 500 Hz, typically. Our method achieves an approximately eightfold bandwidth increase for individual OPMs and enhances the common-mode rejection ratio (CMRR) of sensor array synthetic gradiometers by over fivefold. Thus, the enhanced compact MFMF SERF OPM, characterized by its broad response bandwidth, high sensitivity, and the absence of crosstalk effect, holds the potential for developing high-density detection arrays capable of more accurate and reliable biomagnetic imaging with exceptional spatial resolution across a broad frequency range.

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice