Pub Date : 2025-02-20DOI: 10.1109/TBME.2025.3529143
{"title":"IEEE Transactions on Biomedical Engineering Information for Authors","authors":"","doi":"10.1109/TBME.2025.3529143","DOIUrl":"https://doi.org/10.1109/TBME.2025.3529143","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"C3-C3"},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10897233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-20DOI: 10.1109/TBME.2025.3529141
{"title":"IEEE Engineering in Medicine and Biology Society Information","authors":"","doi":"10.1109/TBME.2025.3529141","DOIUrl":"https://doi.org/10.1109/TBME.2025.3529141","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10897243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-21DOI: 10.1109/TBME.2024.3519481
{"title":"IEEE Transactions on Biomedical Engineering Information for Authors","authors":"","doi":"10.1109/TBME.2024.3519481","DOIUrl":"https://doi.org/10.1109/TBME.2024.3519481","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 2","pages":"C3-C3"},"PeriodicalIF":4.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848367","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-21DOI: 10.1109/TBME.2024.3519479
{"title":"IEEE Engineering in Medicine and Biology Society Information","authors":"","doi":"10.1109/TBME.2024.3519479","DOIUrl":"https://doi.org/10.1109/TBME.2024.3519479","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 2","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848366","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: This study investigates the influence of heart rate (HR) on the pump at the coupled working state with the cardiovascular system. Methods: A combined approach integrating in-vitro and numerical methods is employed to predict cycle-average hemolytic potential (denoted as ${bm{H}}{{{bm{I}}}_{{bm{ave}}}}$). The pump dynamic characteristics under varying HR conditions are investigated in the in-vitro experiments. The hemolytic potential at different operation points (represented by ${bm{HI}}$) are predicted numerically. Results: HR variations affect the shape of the pump dynamic characteristic loop and the cycle-average hemolytic potential. Specifically, in all three series studied, ${bm{H}}{{{bm{I}}}_{{bm{ave}}}}$ demonstrated an increase from 60 to 80 bpm and a decrease from 100 to 120 bpm. Conclusion: Higher HR correlates with heightened hysteresis effects within turbomachinery, thereby impacting the dynamic characteristics' profile. Significance: This study unveils the physical mechanisms underlying the influence of HR on pump dynamic characteristics and provides crucial insights for estimating potential adverse effects associated with left ventricular assist device (LVAD) implantation under diverse HR conditions, which helps prompt pump adjustments in clinical applications and the development of coupled working models.
{"title":"Influence of Heart Rate on Dynamic Characteristics and Hemolytic Potential: A Study Using In-Vitro and Numerical Methods","authors":"Shulei Li;Donghai Jin;Xingmin Gui;Guangmao Liu;Jianqiang Hao;Xihang Jiang","doi":"10.1109/TBME.2024.3467924","DOIUrl":"https://doi.org/10.1109/TBME.2024.3467924","url":null,"abstract":"<italic>Objective:</i> This study investigates the influence of heart rate (HR) on the pump at the coupled working state with the cardiovascular system. <italic>Methods:</i> A combined approach integrating in-vitro and numerical methods is employed to predict cycle-average hemolytic potential (denoted as <inline-formula><tex-math>${bm{H}}{{{bm{I}}}_{{bm{ave}}}}$</tex-math></inline-formula>). The pump dynamic characteristics under varying HR conditions are investigated in the in-vitro experiments. The hemolytic potential at different operation points (represented by <inline-formula><tex-math>${bm{HI}}$</tex-math></inline-formula>) are predicted numerically. <italic>Results:</i> HR variations affect the shape of the pump dynamic characteristic loop and the cycle-average hemolytic potential. Specifically, in all three series studied, <inline-formula><tex-math>${bm{H}}{{{bm{I}}}_{{bm{ave}}}}$</tex-math></inline-formula> demonstrated an increase from 60 to 80 bpm and a decrease from 100 to 120 bpm. <italic>Conclusion:</i> Higher HR correlates with heightened hysteresis effects within turbomachinery, thereby impacting the dynamic characteristics' profile. <italic>Significance:</i> This study unveils the physical mechanisms underlying the influence of HR on pump dynamic characteristics and provides crucial insights for estimating potential adverse effects associated with left ventricular assist device (LVAD) implantation under diverse HR conditions, which helps prompt pump adjustments in clinical applications and the development of coupled working models.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 2","pages":"689-704"},"PeriodicalIF":4.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-21DOI: 10.1109/TBME.2024.3511733
Rebecca J Greene;Christopher Hunt;Sapna Kumar;Joseph Betthauser;Damini Agarwal;Denis Routkevitch;Rahul R Kaliki;Nitish V Thakor
Objective: Contributing author was missing from the above-named paper.
目的：上述论文缺少特约作者。
{"title":"Corrections to “Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses”","authors":"Rebecca J Greene;Christopher Hunt;Sapna Kumar;Joseph Betthauser;Damini Agarwal;Denis Routkevitch;Rahul R Kaliki;Nitish V Thakor","doi":"10.1109/TBME.2024.3511733","DOIUrl":"https://doi.org/10.1109/TBME.2024.3511733","url":null,"abstract":"<italic>Objective:</i> Contributing author was missing from the above-named paper.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 2","pages":"843-843"},"PeriodicalIF":4.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848365","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-16DOI: 10.1109/TBME.2024.3440838
Hani Nozari Mirar;Sten Roar Snare;Anne H. Schistad Solberg
To better understand cardiac structures and dynamics via echocardiography, it is essential to have cardiac image sequences with sufficient spatio-temporal resolution. However, in echocardiography, there is an inherent tradeoff between temporal and spatial resolution, which limits the ability to acquire images with both high temporal and spatial resolution simultaneously. Motion-compensated interpolation, a post-acquisition technique, enhances the temporal resolution without compromising the spatial resolution. This paper introduces a novel motion-compensated interpolation algorithm based on the advection equation in fluid mechanics. Considering the incompressibility of cardiac tissue, we derive a solution in terms of Lie series for the advection problem. Subsequently, we construct a bidirectional advection energy model to estimate the optimal velocity fields that can simultaneously advect two cardiac images towards each other. The process continues until they converge at a midpoint where the image similarity peaks. To preserve the topology of the cardiac structures and ensure that image deformations are diffeomorphic, the advection process is carried out gradually with a smooth velocity field. To reduce the contribution of the blood signal in optimizing for the best tissue advection velocity, a nonlocal regularization pre-processing is applied to echocardiography data. Our algorithm, tested on 2D and 3D echocardiography, outperforms existing motion-compensated interpolation algorithms in estimating cardiac motions. It preserves cardiac topology during image deformations and reduces interpolation artifacts, especially in low frame rate recordings. By training a neural network on the data generated by our algorithm, we achieved over 75 times faster computation without compromising image quality.
{"title":"Motion-Compensated Interpolation in Echocardiography: A Lie Advection-Based Approach","authors":"Hani Nozari Mirar;Sten Roar Snare;Anne H. Schistad Solberg","doi":"10.1109/TBME.2024.3440838","DOIUrl":"https://doi.org/10.1109/TBME.2024.3440838","url":null,"abstract":"To better understand cardiac structures and dynamics via echocardiography, it is essential to have cardiac image sequences with sufficient spatio-temporal resolution. However, in echocardiography, there is an inherent tradeoff between temporal and spatial resolution, which limits the ability to acquire images with both high temporal and spatial resolution simultaneously. Motion-compensated interpolation, a post-acquisition technique, enhances the temporal resolution without compromising the spatial resolution. This paper introduces a novel motion-compensated interpolation algorithm based on the advection equation in fluid mechanics. Considering the incompressibility of cardiac tissue, we derive a solution in terms of Lie series for the advection problem. Subsequently, we construct a bidirectional advection energy model to estimate the optimal velocity fields that can simultaneously advect two cardiac images towards each other. The process continues until they converge at a midpoint where the image similarity peaks. To preserve the topology of the cardiac structures and ensure that image deformations are diffeomorphic, the advection process is carried out gradually with a smooth velocity field. To reduce the contribution of the blood signal in optimizing for the best tissue advection velocity, a nonlocal regularization pre-processing is applied to echocardiography data. Our algorithm, tested on 2D and 3D echocardiography, outperforms existing motion-compensated interpolation algorithms in estimating cardiac motions. It preserves cardiac topology during image deformations and reduces interpolation artifacts, especially in low frame rate recordings. By training a neural network on the data generated by our algorithm, we achieved over 75 times faster computation without compromising image quality.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 1","pages":"123-136"},"PeriodicalIF":4.4,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-15DOI: 10.1109/TBME.2024.3503455
{"title":"IEEE Engineering in Medicine and Biology Society Information","authors":"","doi":"10.1109/TBME.2024.3503455","DOIUrl":"https://doi.org/10.1109/TBME.2024.3503455","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 1","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10843120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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