IEEE Reviews in Biomedical Engineering最新文献_第4页

MRI Coil Development Strategies for Hybrid MR-PET Systems: A Review 混合 MR-PET 系统的 MRI 线圈开发策略：综述。

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-12-07 DOI: 10.1109/RBME.2022.3227337

Chang-Hoon Choi;Jörg Felder;Christoph Lerche;N. Jon Shah

{"title":"MRI Coil Development Strategies for Hybrid MR-PET Systems: A Review","authors":"Chang-Hoon Choi;Jörg Felder;Christoph Lerche;N. Jon Shah","doi":"10.1109/RBME.2022.3227337","DOIUrl":"10.1109/RBME.2022.3227337","url":null,"abstract":"Simultaneously operating MR-PET systems have the potential to provide synergetic multi-parametric information, and, as such, interest surrounding their use and development is increasing. However, despite the potential advantages offered by fully combined MR-PET systems, implementing this hybrid integration is technically laborious, and any factors degrading the quality of either modality must be circumvented to ensure optimal performance. In order to attain the best possible quality from both systems, most full MR-PET integrations tend to place the shielded PET system inside the MRI system, close to the target volume of the subject. The radiofrequency (RF) coil used in MRI systems is a key factor in determining the quality of the MR images, and, in simultaneous acquisition, it is generally positioned inside the PET system and PET imaging region, potentially resulting in attenuation and artefacts in the PET images. Therefore, when designing hybrid MR-PET systems, it is imperative that consideration be given to the RF coils inside the PET system. In this review, we present current state-of-the-art RF coil designs used for hybrid MR-PET experiments and discuss various design strategies for constructing PET transparent RF coils.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9247689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Editorial A Message From the New Editor-in-Chief 社论新任总编辑寄语

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-11-10 DOI: 10.1109/RBME.2022.3221366

Bin He

引用次数: 0

Spectral Analysis of Heart Rate Variability in Time-Varying Conditions and in the Presence of Confounding Factors 时变条件下和存在干扰因素时的心率变异性频谱分析

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-11-08 DOI: 10.1109/RBME.2022.3220636

Leif Sörnmo;Raquel Bailón;Pablo Laguna

{"title":"Spectral Analysis of Heart Rate Variability in Time-Varying Conditions and in the Presence of Confounding Factors","authors":"Leif Sörnmo;Raquel Bailón;Pablo Laguna","doi":"10.1109/RBME.2022.3220636","DOIUrl":"10.1109/RBME.2022.3220636","url":null,"abstract":"The tools for spectrally analyzing heart rate variability (HRV) has in recent years grown considerably, with emphasis on the handling of time-varying conditions and confounding factors. Time–frequency analysis holds since long an important position in HRV analysis, however, this technique cannot alone handle a mean heart rate or a respiratory frequency which vary over time. Overlapping frequency bands represents another critical condition which needs to be dealt with to produce accurate spectral measurements. The present survey offers a comprehensive account of techniques designed to handle such conditions and factors by providing a brief description of the main principles of the different methods. Several methods derive from a mathematical/statistical model, suggesting that the model can be used to simulate data used for performance evaluation. The inclusion of a respiratory signal, whether measured or derived, is another feature of many recent methods, e.g., used to guide the decomposition of the HRV signal so that signals related as well as unrelated to respiration can be analyzed. It is concluded that the development of new approaches to handling time-varying scenarios are warranted, as is benchmarking of performance evaluated in technical as well as in physiological/clinical terms.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40451706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Review in On-Body Compression Using Soft Actuators and Sensors: Applications, Mechanisms, and Challenges 使用软致动器和传感器进行人体压缩的综述：应用、机制和挑战》一书中的一篇评论。

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-11-08 DOI: 10.1109/RBME.2022.3220505

Alireza Golgouneh;Lucy E. Dunne

{"title":"A Review in On-Body Compression Using Soft Actuators and Sensors: Applications, Mechanisms, and Challenges","authors":"Alireza Golgouneh;Lucy E. Dunne","doi":"10.1109/RBME.2022.3220505","DOIUrl":"10.1109/RBME.2022.3220505","url":null,"abstract":"Body compression through a garment or inflatable pneumatic mechanism has various applications in aesthetic, athletic, robotics, haptics, astronautics, and especially medical fields for treatment of various disorders such as varicose veins, lymphedema, deep vein thrombosis, and orthostatic intolerance. Traditionally, compression has been done through under-sized (e.g. elastic) or size-adjustable (e.g. inflatable) compression garments. Such systems are designed to apply substantially uniform pressure on the body. However, due to reasons such as anatomical variations and body posture change, different levels of compression may be applied to the body. Further, a high level of discomfort and non-compliance is reported among patients due to donning difficulties. Therefore, there have been some efforts to make compression garments smart by employing advanced functional soft materials and actuators (such as Shape Memory Alloy (SMA), Shape Memory Polymer (SMP), Electroactive polymer (EAP), etc.) as well as soft force-pressure sensors so that the compression level could be controlled and regulated for each person or specific tasks. However, despite these advances, there are still challenges to accurately controlling the on-body compression level that are mainly due to the inherent characteristics of the soft actuators or sensors and the sophisticated human body conditions. In this paper, we will first investigate the soft actuators and sensors that have the potential to be used for on-body compression applications. Then, integrated soft sensing-actuation systems for interfacial compression purposes are studied. Finally, the challenges that might be associated with this work are introduced.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40451707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Emerging Technologies Used in Health Management and Efficiency Improvement During Different Contact Tracing Phases Against COVID-19 Pandemic 在新冠肺炎大流行的不同接触者追踪阶段用于健康管理和提高效率的新兴技术

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-11-04 DOI: 10.1109/RBME.2022.3219433

Maggie Ezzat Gaber Gendy;Mehmet Rasit Yuce

{"title":"Emerging Technologies Used in Health Management and Efficiency Improvement During Different Contact Tracing Phases Against COVID-19 Pandemic","authors":"Maggie Ezzat Gaber Gendy;Mehmet Rasit Yuce","doi":"10.1109/RBME.2022.3219433","DOIUrl":"10.1109/RBME.2022.3219433","url":null,"abstract":"Confronted with the COVID-19 health crisis, the year 2020 represented a turning point for the entire world. It paved the way for health-care systems to reaffirm their foundations by using different technologies such as sensors, wearables, mobile applications, drones, robots, Artificial Intelligence (AI), Machine Learning (ML) and the Internet of Things (IoT). A lot of domains have been renovated such as diagnosis, treatment, and monitoring, as well as previously unprecedented domains such as contact tracing. Contact tracing, in conjunction with the emergence, spread, and public compliance for vaccines, was a critical step for controlling and limiting the spread of the pandemic. Traditional contact tracing is usually dependent on individuals ability to recall their interactions, which is challenging and yet not effective. Consequently, further development and usage of automated, privacy-preserving, digital contact-tracing was required. As the pandemic is coming to an end, it is vital to collect and learn the effective used technologies that aided in fighting the virus in order to be prepared for any future pandemics and to be aware of any literature gaps that must be filled. This paper surveys state-of-the-art architectures, platforms, and applications combating COVID-19 at each phase of the five basic contact tracing phases, including case identification, contacts identification and rapid exposure notification, surveillance, regular follow up and prevention. In addition, there is a phase of preparation and post-pandemic services for current and needed future technology that will aid in the fight against any incoming infectious diseases.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9359277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Neuron(s)-on-a-Chip: A Review of the Design and Use of Microfluidic Systems for Neural Tissue Culture 神经元芯片：神经组织培养微流体系统的设计与使用综述》。

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-10-27 DOI: 10.1109/RBME.2022.3217486

David Choy Buentello;Mariana García-Corral;Grissel Trujillo-de Santiago;Mario Moisés Alvarez

引用次数: 2

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era 后新冠肺炎时代提高医疗保健数据质量的先进人工智能方法的系统回顾

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-10-21 DOI: 10.1109/RBME.2022.3216531

Monica Isgut;Logan Gloster;Katherine Choi;Janani Venugopalan;May D. Wang

{"title":"Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era","authors":"Monica Isgut;Logan Gloster;Katherine Choi;Janani Venugopalan;May D. Wang","doi":"10.1109/RBME.2022.3216531","DOIUrl":"10.1109/RBME.2022.3216531","url":null,"abstract":"At the beginning of the COVID-19 pandemic, there was significant hype about the potential impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or surveillance. However, AI tools have not yet been widely successful. One of the key reason is the COVID-19 pandemic has demanded faster real-time development of AI-driven clinical and health support tools, including rapid data collection, algorithm development, validation, and deployment. However, there was not enough time for proper data quality control. Learning from the hard lessons in COVID-19, we summarize the important health data quality challenges during COVID-19 pandemic such as lack of data standardization, missing data, tabulation errors, and noise and artifact. Then we conduct a systematic investigation of computational methods that address these issues, including emerging novel advanced AI data quality control methods that achieve better data quality outcomes and, in some cases, simplify or automate the data cleaning process. We hope this article can assist healthcare community to improve health data quality going forward with novel AI development.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/4664312/10007429/09926151.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9728920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Fluid-Structure Interaction Within Models of Patient-Specific Arteries: Computational Simulations and Experimental Validations 特定患者动脉模型内的流体与结构相互作用：计算模拟与实验验证。

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-10-19 DOI: 10.1109/RBME.2022.3215678

Sabrina Schoenborn;Selene Pirola;Maria A. Woodruff;Mark C. Allenby

{"title":"Fluid-Structure Interaction Within Models of Patient-Specific Arteries: Computational Simulations and Experimental Validations","authors":"Sabrina Schoenborn;Selene Pirola;Maria A. Woodruff;Mark C. Allenby","doi":"10.1109/RBME.2022.3215678","DOIUrl":"10.1109/RBME.2022.3215678","url":null,"abstract":"Cardiovascular disease (CVD) is the leading cause of mortality worldwide and its incidence is rising due to an aging population. The development and progression of CVD is directly linked to adverse vascular hemodynamics and biomechanics, whose in-vivo measurement remains challenging but can be simulated numerically and experimentally. The ability to evaluate these parameters in patient-specific CVD cases is crucial to better predict future disease progression, risk of adverse events, and treatment efficacy. While significant progress has been made toward patient-specific hemodynamic simulations, blood vessels are often assumed to be rigid, which does not consider the compliant mechanical properties of vessels whose malfunction is implicated in disease. In an effort to simulate the biomechanics of flexible vessels, fluid-structure interaction (FSI) simulations have emerged as promising tools for the characterization of hemodynamics within patient-specific cardiovascular anatomies. Since FSI simulations combine the blood's fluid domain with the arterial structural domain, they pose novel challenges for their experimental validation. This paper reviews the scientific work related to FSI simulations for patient-specific arterial geometries and the current standard of FSI model validation including the use of compliant arterial phantoms, which offer novel potential for the experimental validation of FSI results.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40341837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis of Spectral Estimation Algorithms for Accurate Heart Rate and Respiration Rate Estimation Using an Ultra-Wideband Radar Sensor 使用超宽带雷达传感器准确估算心率和呼吸率的频谱估算算法分析。

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-10-10 DOI: 10.1109/RBME.2022.3212695

Kareeb Hasan;Malikeh P. Ebrahim;Hongqiang Xu;Mehmet R. Yuce

{"title":"Analysis of Spectral Estimation Algorithms for Accurate Heart Rate and Respiration Rate Estimation Using an Ultra-Wideband Radar Sensor","authors":"Kareeb Hasan;Malikeh P. Ebrahim;Hongqiang Xu;Mehmet R. Yuce","doi":"10.1109/RBME.2022.3212695","DOIUrl":"10.1109/RBME.2022.3212695","url":null,"abstract":"Non-contact vital sign monitoring has been an important research topic recently due to the ability to monitor patients for an extended period especially during sleep without requiring uncomfortable attachments. Radar is a popular sensor for vital sign monitoring research. Various algorithms have been proposed for estimating respiration rate and heart rate from the radar data. But many algorithms rely on Fast Fourier Transform (FFT) to convert time domain signal to the frequency domain and estimate vital signs, despite FFT having limitation of frequency resolution being inverse of the time interval of data sample. However, there are other spectral estimation algorithms, which have not been much researched into the suitability of vital sign estimation using radar signals. In this paper, we compared eight different types of spectral estimation algorithms, including FFT, for respiration rate and heart rate estimation of stationary subjects in a controlled environment. The evaluation is based on extensive data consisting of different stationary subject positions. Considering the results, the eligibility of algorithms other than FFT for respiration rate and heart rate estimation is demonstrated. Using this work, researchers can get an overview on which algorithm is suitable for their work without the need to review individual algorithms separately.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33498023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent Advances in Biosensors for Detection of COVID-19 and Other Viruses 用于检测新冠肺炎等病毒的生物传感器的最新进展

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2022-10-05 DOI: 10.1109/RBME.2022.3212038

Shobhit K. Patel;Jaymit Surve;Juveriya Parmar;Kawsar Ahmed;Francis M. Bui;Fahad Ahmed Al-Zahrani

{"title":"Recent Advances in Biosensors for Detection of COVID-19 and Other Viruses","authors":"Shobhit K. Patel;Jaymit Surve;Juveriya Parmar;Kawsar Ahmed;Francis M. Bui;Fahad Ahmed Al-Zahrani","doi":"10.1109/RBME.2022.3212038","DOIUrl":"10.1109/RBME.2022.3212038","url":null,"abstract":"This century has introduced very deadly, dangerous, and infectious diseases to humankind such as the influenza virus, Ebola virus, Zika virus, and the most infectious SARS-CoV-2 commonly known as COVID-19 and have caused epidemics and pandemics across the globe. For some of these diseases, proper medications, and vaccinations are missing and the early detection of these viruses will be critical to saving the patients. And even the vaccines are available for COVID-19, the new variants of COVID-19 such as Delta, and Omicron are spreading at large. The available virus detection techniques take a long time, are costly, and complex and some of them generates false negative or false positive that might cost patients their lives. The biosensor technique is one of the best qualified to address this difficult challenge. In this systematic review, we have summarized recent advancements in biosensor-based detection of these pandemic viruses including COVID-19. Biosensors are emerging as efficient and economical analytical diagnostic instruments for early-stage illness detection. They are highly suitable for applications related to healthcare, wearable electronics, safety, environment, military, and agriculture. We strongly believe that these insights will aid in the study and development of a new generation of adaptable virus biosensors for fellow researchers.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9911770","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9351776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18