Pub Date : 2024-06-28DOI: 10.1109/ojemb.2024.3420247
Xiaoli Wu, Yu Suen Chan, Bingjie Xiang, Wenhui Zhang, Kwai-Man Luk, Shuk Han Cheng, Yuk Fai Leung, Rosa H. M. Chan
{"title":"Scalable Neuroanatomical and Behavioral Phenotyping of Radio Frequency Radiation on Young Zebrafish","authors":"Xiaoli Wu, Yu Suen Chan, Bingjie Xiang, Wenhui Zhang, Kwai-Man Luk, Shuk Han Cheng, Yuk Fai Leung, Rosa H. M. Chan","doi":"10.1109/ojemb.2024.3420247","DOIUrl":"https://doi.org/10.1109/ojemb.2024.3420247","url":null,"abstract":"","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141526715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-28DOI: 10.1109/OJEMB.2024.3420747
Foteini Savvidou;Sotiris A. Tegos;Panagiotis D. Diamantoulakis;George K. Karagiannidis
Continuous and unobtrusive monitoring of daily human activities in homes can potentially improve the quality of life and prolong independent living for the elderly and people with chronic diseases by recognizing normal daily activities and detecting gradual changes in their conditions. However, existing human activity recognition (HAR) solutions employ wearable and video-based sensors, which either require dedicated devices to be carried by the user or raise privacy concerns. Radar sensors enable non-intrusive long-term monitoring, while they can exploit existing communication systems, e.g., Wi-Fi, as illuminators of opportunity. This survey provides an overview of passive radar system architectures, signal processing techniques, feature extraction, and machine learning's role in HAR applications. Moreover, it points out challenges in wireless human activity sensing research like robustness, privacy, and multiple user activity sensing and suggests possible future directions, including the coexistence of sensing and communications and the construction of open datasets.
通过识别正常的日常活动并检测其状况的逐渐变化,对家庭中的日常人类活动进行持续、不显眼的监测,有可能提高老年人和慢性病患者的生活质量并延长其独立生活的时间。然而,现有的人类活动识别(HAR)解决方案采用的是可穿戴式和基于视频的传感器,这些传感器要么需要用户携带专用设备,要么会引发隐私问题。雷达传感器可以实现非侵入式的长期监测,同时还可以利用现有的通信系统(如 Wi-Fi )作为机会照明器。本研究概述了无源雷达系统架构、信号处理技术、特征提取以及机器学习在 HAR 应用中的作用。此外,它还指出了无线人类活动传感研究面临的挑战,如鲁棒性、隐私和多用户活动传感,并提出了未来可能的发展方向,包括传感与通信的共存以及开放数据集的构建。
{"title":"Passive Radar Sensing for Human Activity Recognition: A Survey","authors":"Foteini Savvidou;Sotiris A. Tegos;Panagiotis D. Diamantoulakis;George K. Karagiannidis","doi":"10.1109/OJEMB.2024.3420747","DOIUrl":"10.1109/OJEMB.2024.3420747","url":null,"abstract":"Continuous and unobtrusive monitoring of daily human activities in homes can potentially improve the quality of life and prolong independent living for the elderly and people with chronic diseases by recognizing normal daily activities and detecting gradual changes in their conditions. However, existing human activity recognition (HAR) solutions employ wearable and video-based sensors, which either require dedicated devices to be carried by the user or raise privacy concerns. Radar sensors enable non-intrusive long-term monitoring, while they can exploit existing communication systems, e.g., Wi-Fi, as illuminators of opportunity. This survey provides an overview of passive radar system architectures, signal processing techniques, feature extraction, and machine learning's role in HAR applications. Moreover, it points out challenges in wireless human activity sensing research like robustness, privacy, and multiple user activity sensing and suggests possible future directions, including the coexistence of sensing and communications and the construction of open datasets.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10577229","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141532211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-28DOI: 10.1109/OJEMB.2024.3420241
Nils C. Albrecht;Dominik Langer;Daniel Krauss;Robert Richer;Luca Abel;Bjoern M. Eskofier;Nicolas Rohleder;Alexander Koelpin
In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact with the patient, posing limitations for long-term and unobtrusive monitoring. To address this challenge, we introduce the EmRad system, an innovative solution harnessing the capabilities of continuous-wave (CW) radar technology for the contactless detection of vital signs, including heart rate and respiratory rate. EmRad discerns itself by emphasizing miniaturization, performance, scalability, and its ability to generate large-scale datasets in various environments. This article explains the system's design, focusing on signal processing strategies and motion artifact reduction to ensure precise vital sign extraction. The EmRad system's versatility is showcased through various case studies, highlighting its potential to transform vital sign monitoring in research and clinical contexts.
{"title":"EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars","authors":"Nils C. Albrecht;Dominik Langer;Daniel Krauss;Robert Richer;Luca Abel;Bjoern M. Eskofier;Nicolas Rohleder;Alexander Koelpin","doi":"10.1109/OJEMB.2024.3420241","DOIUrl":"10.1109/OJEMB.2024.3420241","url":null,"abstract":"In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact with the patient, posing limitations for long-term and unobtrusive monitoring. To address this challenge, we introduce the EmRad system, an innovative solution harnessing the capabilities of continuous-wave (CW) radar technology for the contactless detection of vital signs, including heart rate and respiratory rate. EmRad discerns itself by emphasizing miniaturization, performance, scalability, and its ability to generate large-scale datasets in various environments. This article explains the system's design, focusing on signal processing strategies and motion artifact reduction to ensure precise vital sign extraction. The EmRad system's versatility is showcased through various case studies, highlighting its potential to transform vital sign monitoring in research and clinical contexts.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10577086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}