Pub Date : 2025-01-15DOI: 10.1109/TBME.2024.3503457
{"title":"IEEE Transactions on Biomedical Engineering Information for Authors","authors":"","doi":"10.1109/TBME.2024.3503457","DOIUrl":"https://doi.org/10.1109/TBME.2024.3503457","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 1","pages":"C3-C3"},"PeriodicalIF":4.4,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10843135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993234","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 : 2025-01-01DOI: 10.1109/TBME.2024.3523752
{"title":"2024 Index IEEE Transactions on Biomedical Engineering Vol. 71","authors":"","doi":"10.1109/TBME.2024.3523752","DOIUrl":"https://doi.org/10.1109/TBME.2024.3523752","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"71 12","pages":"3612-3687"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10819974","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912427","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 : 2024-12-26DOI: 10.1109/TBME.2024.3456001
Lynda M. Brady;William R. Ledoux
Objective: This work aims to develop a device capable of acquiring volumetric scans of the plantar soft tissue in naturally loaded and unloaded states using ultrasound B-mode imaging and shear wave elastography. Methods: Materials were investigated for acoustic transmission and bodyweight loading. A mechanical scanning apparatus was constructed using a compatible load bearing material and two perpendicular linear actuators. Custom software was developed to control the scanner, record subject and scan information, and reconstruct acquired ultrasound images and shear wave speed values into a volume. The system was evaluated using custom-developed ultrasound phantoms. Results: Plastic materials reduced axial and lateral resolution by 0.25 - 0.5 mm and reduced SWE values by 0.8 to 26 kPa. The developed system produced volumetric scans within 0.1 to 1.6 mm of expected dimensions on a geometric phantom compared to 0 to 0.6 mm in standard computed tomography. Acoustic thermal increases were 0 °C for B-mode and 0.9 to 2.9 °C for SWE. Volumes of an anatomically realistic phantom and a pilot scan yielded clear anatomic features. Conclusion: The resulting system is capable of producing volumetric plantar soft tissue scans in both B-mode and shear wave elastography with resolution on par with existing volumetric medical imaging systems. Significance: This system images plantar soft tissue volumes under physiologic loads.
{"title":"Volumetric Ultrasound of the Plantar Soft Tissue Under Bodyweight Loading","authors":"Lynda M. Brady;William R. Ledoux","doi":"10.1109/TBME.2024.3456001","DOIUrl":"https://doi.org/10.1109/TBME.2024.3456001","url":null,"abstract":"<italic>Objective:</i> This work aims to develop a device capable of acquiring volumetric scans of the plantar soft tissue in naturally loaded and unloaded states using ultrasound B-mode imaging and shear wave elastography. <italic>Methods:</i> Materials were investigated for acoustic transmission and bodyweight loading. A mechanical scanning apparatus was constructed using a compatible load bearing material and two perpendicular linear actuators. Custom software was developed to control the scanner, record subject and scan information, and reconstruct acquired ultrasound images and shear wave speed values into a volume. The system was evaluated using custom-developed ultrasound phantoms. <italic>Results:</i> Plastic materials reduced axial and lateral resolution by 0.25 - 0.5 mm and reduced SWE values by 0.8 to 26 kPa. The developed system produced volumetric scans within 0.1 to 1.6 mm of expected dimensions on a geometric phantom compared to 0 to 0.6 mm in standard computed tomography. Acoustic thermal increases were 0 °C for B-mode and 0.9 to 2.9 °C for SWE. Volumes of an anatomically realistic phantom and a pilot scan yielded clear anatomic features. <italic>Conclusion:</i> The resulting system is capable of producing volumetric plantar soft tissue scans in both B-mode and shear wave elastography with resolution on par with existing volumetric medical imaging systems. <italic>Significance:</i> This system images plantar soft tissue volumes under physiologic loads.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 2","pages":"493-502"},"PeriodicalIF":4.4,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993261","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 : 2024-11-21DOI: 10.1109/TBME.2024.3479173
{"title":"IEEE Transactions on Biomedical Engineering Information for Authors","authors":"","doi":"10.1109/TBME.2024.3479173","DOIUrl":"https://doi.org/10.1109/TBME.2024.3479173","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"71 12","pages":"C3-C3"},"PeriodicalIF":4.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10762796","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679266","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 : 2024-11-21DOI: 10.1109/TBME.2024.3479171
{"title":"IEEE Engineering in Medicine and Biology Society Information","authors":"","doi":"10.1109/TBME.2024.3479171","DOIUrl":"https://doi.org/10.1109/TBME.2024.3479171","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"71 12","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10762844","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679260","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: We developed a linear matrix inequality-enabled absolutely stabilizing proportional-integral-derivative control design approach for pharmacological systems applicable to intravenous drug administration. Methods: We developed a proportional-integral- derivative control design approach that does not require detailed knowledge of the dose-response relationship other than its sector bound. It repetitively solves a set of linear matrix inequalities, which encapsulate the Lyapunov stability conditions against unknown dose-response relationship, over a broad proportional-integral-derivative gain space. The linear matrix inequality-feasible proportional-integral-derivative gains guarantee the absolute stability of the closed-loop control system against unknown yet sector-bounded dose-response relationship. The proof-of-concept of the approach was shown in silico using intravenous propofol anesthesia as a practical case scenario. Results: The in silico evaluation results demonstrated the robustness and performance of the proportional-integral- derivative controllers designed with the proposed control design approach against unknown sector-bounded nonlinear dose-response relationship and parametric uncertainty in the plant dynamics. Conclusion: Pending follow-up development and extensive evaluation in various complex intravenous drug administration problems, the proposed approach may find applications in various closed-loop automated intravenous drug administration problems with complex and highly nonlinear dose-response relationships. Significance: The proposed control design approach provides a systematic way to absolutely stabilize pharmacological systems against unknown, nonlinear, and time- varying dose-response relationship, perhaps for the first time.
{"title":"LMI-Enabled Absolutely Stabilizing PID Control of Pharmacological Systems for Closed-Loop Automated Intravenous Drug Administration","authors":"Weidi Yin;Drew X. Hohenhaus;Ali Tivay;Rajesh Rajamani;Jin-Oh Hahn","doi":"10.1109/TBME.2024.3488715","DOIUrl":"https://doi.org/10.1109/TBME.2024.3488715","url":null,"abstract":"<italic>Objective:</i> We developed a linear matrix inequality-enabled absolutely stabilizing proportional-integral-derivative control design approach for pharmacological systems applicable to intravenous drug administration. <italic>Methods:</i> We developed a proportional-integral- derivative control design approach that does not require detailed knowledge of the dose-response relationship other than its sector bound. It repetitively solves a set of linear matrix inequalities, which encapsulate the Lyapunov stability conditions against unknown dose-response relationship, over a broad proportional-integral-derivative gain space. The linear matrix inequality-feasible proportional-integral-derivative gains guarantee the absolute stability of the closed-loop control system against unknown yet sector-bounded dose-response relationship. The proof-of-concept of the approach was shown in silico using intravenous propofol anesthesia as a practical case scenario. <italic>Results:</i> The in silico evaluation results demonstrated the robustness and performance of the proportional-integral- derivative controllers designed with the proposed control design approach against unknown sector-bounded nonlinear dose-response relationship and parametric uncertainty in the plant dynamics. <italic>Conclusion:</i> Pending follow-up development and extensive evaluation in various complex intravenous drug administration problems, the proposed approach may find applications in various closed-loop automated intravenous drug administration problems with complex and highly nonlinear dose-response relationships. <italic>Significance:</i> The proposed control design approach provides a systematic way to absolutely stabilize pharmacological systems against unknown, nonlinear, and time- varying dose-response relationship, perhaps for the first time.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"1121-1131"},"PeriodicalIF":4.4,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465690","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 : 2024-11-12DOI: 10.1109/TBME.2024.3479414
B. Pialot;F. Guidi;G. Bonciani;F. Varray;T. Loupas;P. Tortoli;A. Ramalli
Over the past decade, ultrasound microvasculature imaging has seen the rise of highly sensitive techniques, such as ultrafast power Doppler (UPD) and ultrasound localization microscopy (ULM). The cornerstone of these techniques is the acquisition of a large number of frames based on unfocused wave transmission, enabling the use of singular value decomposition (SVD) as a powerful clutter filter to separate microvessels from surrounding tissue. Unfortunately, SVD is computationally expensive, hampering its use in real-time UPD imaging and weighing down the ULM processing chain, with evident impact in a clinical context. To solve this problem, we propose a new approach to implement SVD filtering, based on simplified and elementary operations that can be optimally parallelized on GPU (GPU sSVD), unlike standard SVD algorithms that are mainly serial. First, we show that GPU sSVD filters UPD and ULM data with high computational efficiency compared to standard SVD implementations, and without losing image quality. Second, we demonstrate that the proposed method is suitable for real-time operation. GPU sSVD was embedded in a research scanner, along with the spatial similarity matrix (SSM), a well-known efficient approach to automate the selection of SVD blood components. High real-time throughput of GPU sSVD is demonstrated when using large packets of frames, with and without SSM. For example, more than 15000 frames/s were filtered with 512 packet size on a 128 × 64 samples beamforming grid. Finally, GPU sSVD was used to perform, for the first time, UPD imaging with real-time and adaptive SVD filtering on healthy volunteers.
{"title":"Computationally Efficient SVD Filtering for Ultrasound Flow Imaging and Real-Time Application to Ultrafast Doppler","authors":"B. Pialot;F. Guidi;G. Bonciani;F. Varray;T. Loupas;P. Tortoli;A. Ramalli","doi":"10.1109/TBME.2024.3479414","DOIUrl":"10.1109/TBME.2024.3479414","url":null,"abstract":"Over the past decade, ultrasound microvasculature imaging has seen the rise of highly sensitive techniques, such as ultrafast power Doppler (UPD) and ultrasound localization microscopy (ULM). The cornerstone of these techniques is the acquisition of a large number of frames based on unfocused wave transmission, enabling the use of singular value decomposition (SVD) as a powerful clutter filter to separate microvessels from surrounding tissue. Unfortunately, SVD is computationally expensive, hampering its use in real-time UPD imaging and weighing down the ULM processing chain, with evident impact in a clinical context. To solve this problem, we propose a new approach to implement SVD filtering, based on simplified and elementary operations that can be optimally parallelized on GPU (GPU sSVD), unlike standard SVD algorithms that are mainly serial. First, we show that GPU sSVD filters UPD and ULM data with high computational efficiency compared to standard SVD implementations, and without losing image quality. Second, we demonstrate that the proposed method is suitable for real-time operation. GPU sSVD was embedded in a research scanner, along with the spatial similarity matrix (SSM), a well-known efficient approach to automate the selection of SVD blood components. High real-time throughput of GPU sSVD is demonstrated when using large packets of frames, with and without SSM. For example, more than 15000 frames/s were filtered with 512 packet size on a 128 × 64 samples beamforming grid. Finally, GPU sSVD was used to perform, for the first time, UPD imaging with real-time and adaptive SVD filtering on healthy volunteers.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"921-929"},"PeriodicalIF":4.4,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10750461","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142619356","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: The objective of this study is to propose a novel methodology for intracranial pressure (ICP) waveform subpeak identification by incorporating arterial blood pressure (ABP) and electrocardiogram (ECG) signals from patients who have undergone traumatic brain injury (TBI).
Methods: This approach consisted of 1) multimodal signal pre-processing and initial manual ICP waveform morphology labeling, 2) semi-supervised training of a support vector machine (SVM) ICP waveform morphological classifier, and 3) a dynamic time warping barycenter averaging (DBA) based ICP waveform template generation and derivative dynamic time warping (DDTW)-driven ICP waveform subpeak mapping from template to incoming processed waveforms.
Results: This proposed framework was evaluated on 30,000 ICP waveforms and resulted in an overall subpeak identification accuracy score of 98.2%.
Conclusion: The results showcased an improvement over existing methodologies and showed resilience to variations in ICP waveform morphologies from patient to patient due to the incorporation of a subject matter expert (SME) to accommodate new and unseen ICP morphologies.
Significance: The robustness of this comprehensive approach enabled the analysis of ICP morphological features over time to provide clinicians with crucial insights regarding the development of secondary pathologies in patients and facilitate monitoring their physiological state.
{"title":"A Novel Methodology for Intracranial Pressure Subpeak Identification Enabling Morphological Feature Analysis.","authors":"Varun Vinayak Kalaiarasan, Marcella Miller, Xu Han, Brandon Foreman, Xiaodong Jia","doi":"10.1109/TBME.2024.3495542","DOIUrl":"https://doi.org/10.1109/TBME.2024.3495542","url":null,"abstract":"<p><strong>Objective: </strong>The objective of this study is to propose a novel methodology for intracranial pressure (ICP) waveform subpeak identification by incorporating arterial blood pressure (ABP) and electrocardiogram (ECG) signals from patients who have undergone traumatic brain injury (TBI).</p><p><strong>Methods: </strong>This approach consisted of 1) multimodal signal pre-processing and initial manual ICP waveform morphology labeling, 2) semi-supervised training of a support vector machine (SVM) ICP waveform morphological classifier, and 3) a dynamic time warping barycenter averaging (DBA) based ICP waveform template generation and derivative dynamic time warping (DDTW)-driven ICP waveform subpeak mapping from template to incoming processed waveforms.</p><p><strong>Results: </strong>This proposed framework was evaluated on 30,000 ICP waveforms and resulted in an overall subpeak identification accuracy score of 98.2%.</p><p><strong>Conclusion: </strong>The results showcased an improvement over existing methodologies and showed resilience to variations in ICP waveform morphologies from patient to patient due to the incorporation of a subject matter expert (SME) to accommodate new and unseen ICP morphologies.</p><p><strong>Significance: </strong>The robustness of this comprehensive approach enabled the analysis of ICP morphological features over time to provide clinicians with crucial insights regarding the development of secondary pathologies in patients and facilitate monitoring their physiological state.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142619355","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}
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