| |||||||
ShanghaiTech University Knowledge Management System
| A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring | |
| 2022-12-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (IF:3.8[JCR-2023],4.8[5-Year]) |
| ISSN | 1940-9990 |
| 卷号 | 16期号:6 |
| 发表状态 | 已发表 |
| DOI | 10.1109/TBCAS.2022.3226290 |
| 摘要 | 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. |
| URL | 查看原文 |
| 收录类别 | SCI |
| 来源库 | IEEE |
| 引用统计 | 正在获取...
|
| 文献类型 | 期刊论文 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/284224 |
| 专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_高飞组 |
| 作者单位 | 1.School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 3.Shanghai Engineering Research Center of Energy Efficient and Custom AI IC, and Shanghai Clinical Research and Trial Center, Shanghai, China 4.Mechanical Department, Zhejiang University, Zhejiang, China 5.Nanjing University of Science and Technology, Nanjing, China 6.Hunan University, Changsha, China 7.National Tsinghua University, Hsinchu, Taiwan 8.University of Alberta, Edmonton, AB, Canada 9.Fudan University, Shanghai, China |
| 推荐引用方式 GB/T 7714 | Zhongyuan Fang,Fei Gao,Haoran Jin,et al. A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring[J]. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS,2022,16(6). |
| APA | Zhongyuan Fang.,Fei Gao.,Haoran Jin.,Siyu Liu.,Wensong Wang.,...&Yuanjin Zheng.(2022).A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring.IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS,16(6). |
| MLA | Zhongyuan Fang,et al."A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring".IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 16.6(2022). |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
修改评论
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。