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用于医疗监测的新兴电磁声学传感技术综述。

A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring.

作者信息

Fang Zhongyuan, Gao Fei, Jin Haoran, Liu Siyu, Wang Wensong, Zhang Ruochong, Zheng Zesheng, Xiao Xuan, Tang Kai, Lou Liheng, Tang Kea-Tiong, Chen Jie, Zheng Yuanjin

出版信息

IEEE Trans Biomed Circuits Syst. 2022 Dec;16(6):1075-1094. doi: 10.1109/TBCAS.2022.3226290. Epub 2023 Feb 14.

DOI:10.1109/TBCAS.2022.3226290
PMID:36459601
Abstract

Conventional electromagnetic (EM) sensing techniques such as radar and LiDAR are widely used for remote sensing, vehicle applications, weather monitoring, and clinical monitoring. Acoustic techniques such as sonar and ultrasound sensors are also used for consumer applications, such as ranging and in vivo medical/healthcare applications. It has been of long-term interest to doctors and clinical practitioners to realize continuous healthcare monitoring in hospitals and/or homes. Physiological and biopotential signals in real-time serve as important health indicators to predict and prevent serious illness. Emerging electromagnetic-acoustic (EMA) sensing techniques synergistically combine the merits of EM sensing with acoustic imaging to achieve comprehensive detection of physiological and biopotential signals. Further, EMA enables complementary fusion sensing for challenging healthcare settings, such as real-world long-term monitoring of treatment effects at home or in remote environments. This article reviews various examples of EMA sensing instruments, including implementation, performance, and application from the perspectives of circuits to systems. The novel and significant applications to healthcare are discussed. Three types of EMA sensors are presented: (1) Chip-based radar sensors for health status monitoring, (2) Thermo-acoustic sensing instruments for biomedical applications, and (3) Photoacoustic (PA) sensing and imaging systems, including dedicated reconstruction algorithms were reviewed from time-domain, frequency-domain, time-reversal, and model-based solutions. The future of EMA techniques for continuous healthcare with enhanced accuracy supported by artificial intelligence (AI) is also presented.

摘要

传统的电磁(EM)传感技术,如雷达和激光雷达,广泛应用于遥感、车辆应用、气象监测和临床监测。声学技术,如声纳和超声传感器,也用于消费应用,如测距以及体内医疗/保健应用。长期以来,医生和临床从业者一直希望在医院和/或家中实现持续的医疗保健监测。实时的生理和生物电位信号作为预测和预防严重疾病的重要健康指标。新兴的电磁-声学(EMA)传感技术将电磁传感的优点与声学成像协同结合,以实现对生理和生物电位信号的全面检测。此外,EMA能够在具有挑战性的医疗保健环境中实现互补融合传感,例如在家庭或远程环境中对治疗效果进行实际的长期监测。本文回顾了EMA传感仪器的各种示例,包括从电路到系统的实现、性能和应用。讨论了其在医疗保健方面新颖且重要的应用。介绍了三种类型的EMA传感器:(1)用于健康状况监测的基于芯片的雷达传感器,(2)用于生物医学应用的热声传感仪器,以及(3)光声(PA)传感和成像系统,包括从时域、频域、时间反转和基于模型的解决方案等方面对专用重建算法进行了综述。还介绍了在人工智能(AI)支持下,具有更高准确性的EMA技术用于持续医疗保健的未来发展。

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