IEEE Transactions on Biomedical Engineering最新文献_第9页

Design and Validation of a Wearable Ankle Push-off Device in Cerebral Palsy: Is Spring Resistance as Effective as Motorized Resistance? 脑瘫患者可穿戴脚踝推举装置的设计与验证：弹簧阻力与电动阻力一样有效吗？

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-27 DOI: 10.1109/TBME.2025.3535235

Emmanuella A Tagoe, Karl Harshe, Collin D Bowersock, Zachary F Lerner

{"title":"Design and Validation of a Wearable Ankle Push-off Device in Cerebral Palsy: Is Spring Resistance as Effective as Motorized Resistance?","authors":"Emmanuella A Tagoe, Karl Harshe, Collin D Bowersock, Zachary F Lerner","doi":"10.1109/TBME.2025.3535235","DOIUrl":"https://doi.org/10.1109/TBME.2025.3535235","url":null,"abstract":"Objective: Powered ankle exoskeletons with biofeedback systems have proven effective at improving ankle plantar flexor muscle recruitment and push-off power in individuals with cerebral palsy (CP). However, their clinical translation and feasibility for at-home training remain limited. This study sought to design an unpowered wearable ankle device with spring resistance combined with a gamified ankle power biofeedback system. Our primary goal was to validate the device's ability to increase plantar flexor muscle recruitment and push-off power relative to baseline, and ensure that these improvements were comparable to those achieved with motorized resistance.Methods: Seven ambulatory individuals with CP completed walking sessions with (1) a powered ankle exoskeleton with motorized resistance, (2) our novel ankle device with spring resistance, and (3) shoes only (baseline); Both devices utilized the same biofeedback system.Results: Relative to baseline, both the motorized and spring resistance increased peak (48%, p<0.05) and mean (43-45%, p<0.05) soleus activation and mean (37-39%, p<0.05) medial gastrocnemius activation. No differences in muscle recruitment between spring and motorized devices were observed. Walking with spring resistance increased average ankle push-off positive power by 22% (p = 0.003) compared to motorized resistance and by 23% (p = 0.013) compared to baseline.Conclusion: An ankle device providing targeted spring resistance with ankle power biofeedback can effectively improve push-off muscle recruitment and power in individuals with CP.Significance: This supports future research studying outcomes following training with spring-based ankle resistance devices that lower barriers for clinical translation.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541721","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}

引用次数: 0

Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation.

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-24 DOI: 10.1109/TBME.2024.3518602

Farwa Abbas, Verity McClelland, Zoran Cvetkovic, Wei Dai

{"title":"Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation.","authors":"Farwa Abbas, Verity McClelland, Zoran Cvetkovic, Wei Dai","doi":"10.1109/TBME.2024.3518602","DOIUrl":"https://doi.org/10.1109/TBME.2024.3518602","url":null,"abstract":"Objective: Cortico-muscular communication patterns are instrumental in understanding movement control. Estimating significant causal relationships between motor cortex electroencephalogram (EEG) and surface electromyogram (sEMG) from concurrently active muscles presents a formidable challenge since the relevant processes underlying muscle control are typically weak in comparison to measurement noise and background activities.Methodology: In this paper, a novel framework is proposed to simultaneously estimate the order of the autoregressive model of cortico-muscular interactions along with the parameters while enforcing stationarity condition in a convex program to ensure global optimality. The proposed method is further extended to a non-convex program to account for the presence of measurement noise in the recorded signals by introducing a wavelet sparsity assumption on the excitation noise in the model.Results: The proposed methodology is validated using both simulated data and neurophysiological signals. In case of simulated data, the performance of the proposed methods has been compared with the benchmark approaches in terms of order identification, computational efficiency, and goodness of fit in relation to various noise levels. In case of physiological signals our proposed methods are compared against the state-of-the-art approaches in terms of the ability to detect Granger causality.Significance: The proposed methods are shown to be effective in handling stationarity and measurement noise assumptions, revealing significant causal interactions from brain to muscles and vice versa.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541643","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}

引用次数: 0

AI-Driven View Guidance System in Intra-Cardiac Echocardiography Imaging.

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-24 DOI: 10.1109/TBME.2025.3533485

Jaeyoung Huh, Paul Klein, Gareth Funka-Lea, Puneet Sharma, Ankur Kapoor, Young-Ho Kim

{"title":"AI-Driven View Guidance System in Intra-Cardiac Echocardiography Imaging.","authors":"Jaeyoung Huh, Paul Klein, Gareth Funka-Lea, Puneet Sharma, Ankur Kapoor, Young-Ho Kim","doi":"10.1109/TBME.2025.3533485","DOIUrl":"https://doi.org/10.1109/TBME.2025.3533485","url":null,"abstract":"Intra-cardiac echocardiography (ICE) is a crucial imaging modality used in electrophysiology (EP) and structural heart disease (SHD) interventions, providing real-time, high-resolution views from within the heart. Despite its advantages, effective manipulation of the ICE catheter requires significant expertise, which can lead to inconsistent outcomes, especially among less experienced operators. To address this challenge, we propose an AI-driven view guidance system that operates in a continuous closed-loop with human-in-the-loop feedback, designed to assist users in navigating ICE imaging without requiring specialized knowledge. Specifically, our method models the relative position and orientation vectors between arbitrary views and clinically defined ICE views in a spatial coordinate system. It guides users on how to manipulate the ICE catheter to transition from the current view to the desired view over time. By operating in a closed-loop configuration, the system continuously predicts and updates the necessary catheter manipulations, ensuring seamless integration into existing clinical workflows. The effectiveness of the proposed system is demonstrated through a simulation-based performance evaluation using real clinical data, achieving an 89% success rate with 6,532 test cases. Additionally, a semi-simulation experiment with human-in-the-loop testing validated the feasibility of continuous yet discrete guidance. These results underscore the potential of the proposed method to enhance the accuracy and efficiency of ICE imaging procedures.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541071","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}

引用次数: 0

500 MHz Inductive Birdcage RF Coil for Brain MRI: Design, Implementation and Validation. 用于脑磁共振成像的 500 MHz 感应鸟笼射频线圈：设计、实施和验证。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-23 DOI: 10.1109/TBME.2025.3529725

Joe Murphy-Boesch, Jacco A de Zwart, Peter van Gelderen, Stephen J Dodd, Frank Mauconduit, Alexandre Vignaud, Nicolas Boulant, Alan P Koretsky, Jeff H Duyn, Natalia Gudino

引用次数: 0

IEEE Transactions on Biomedical Engineering Information for Authors IEEE生物医学工程信息汇刊作者

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-21 DOI: 10.1109/TBME.2024.3519481

引用次数: 0

IEEE Engineering in Medicine and Biology Society Information IEEE医学与生物工程学会信息

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-21 DOI: 10.1109/TBME.2024.3519479

引用次数: 0

IEEE Transactions on Biomedical Engineering Handling Editors Information IEEE生物医学工程学报编辑信息处理

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-21 DOI: 10.1109/TBME.2024.3519483

引用次数: 0

Influence of Heart Rate on Dynamic Characteristics and Hemolytic Potential: A Study Using In-Vitro and Numerical Methods 心率对动态特性和溶血电位的影响：体外和数值方法的研究

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-21 DOI: 10.1109/TBME.2024.3467924

Shulei Li;Donghai Jin;Xingmin Gui;Guangmao Liu;Jianqiang Hao;Xihang Jiang

{"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: This study investigates the influence of heart rate (HR) on the pump at the coupled working state with the cardiovascular system. <italic>Methods: 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: 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: Higher HR correlates with heightened hysteresis effects within turbomachinery, thereby impacting the dynamic characteristics' profile. <italic>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.","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}

引用次数: 0

Corrections to “Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses” 对“使用高密度肌电图进行上肢肌电假肢的功能性适应性肌区选择”的修正

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-21 DOI: 10.1109/TBME.2024.3511733

Rebecca J Greene;Christopher Hunt;Sapna Kumar;Joseph Betthauser;Damini Agarwal;Denis Routkevitch;Rahul R Kaliki;Nitish V Thakor

引用次数: 0

Adaptive Feedforward Model Predictive Control for Torque Generation Through Asynchronous Intrafascicular Multi-Electrode Stimulation.

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-20 DOI: 10.1109/TBME.2025.3530924

Leonardo M Cavalcanti, W Mitchel Thomas, David J Warren, V John Mathews

{"title":"Adaptive Feedforward Model Predictive Control for Torque Generation Through Asynchronous Intrafascicular Multi-Electrode Stimulation.","authors":"Leonardo M Cavalcanti, W Mitchel Thomas, David J Warren, V John Mathews","doi":"10.1109/TBME.2025.3530924","DOIUrl":"https://doi.org/10.1109/TBME.2025.3530924","url":null,"abstract":"Objective: Fatigue-resistant and graded muscle forces can be evoked through asynchronous intrafascicular multi-electrode stimulation (aIFMS). Prior studies on controlled force generation using aIFMS employed either a feedback controller featuring a multiple-input single-output delayed-integral (MISO-I) control law, or a feedforward controller with a non-predictive model-based policy. However, these controllers resulted in lagged responses as stimulation was coordinated via intentional time delays and lacked immediate control corrections. To address these limitations, this paper presents an adaptive feedforward model predictive controller (aF-MPC) for isometric torque control.Methods: The aF-MPC was evaluated in experiments in anesthetized felines implanted with Utah Slanted Electrode Arrays in their sciatic nerves. This controller redesigned the existing aIFMS feedforward controller by enhancing it with a predictive policy and an online model learning algorithm to compensate for unaccounted aIFMS effects. Statistical comparisons of the aF-MPC and the (non-adaptive) F-MPC trials and observational comparisons of the aF-MPC and the MISO-I controller were performed for different desired trajectories.Results: The aF-MPC exhibited significant performance improvements over the F-MPC across multiple metrics. Observationally, the aF-MPC showed improvements in all performance metrics over the MISO-I controller.Conclusion: Despite unknown dynamics in the aIFMS system, this paper's aF-MPC outperformed alternate approaches as it accurately tracked desired torque profiles even under high-frequency commands.Significance: The application of the aF-MPC in conjunction with aIFMS could provide a better avenue for developing naturalistic motor neuroprosthesis than F-MPCs or MISO-I controllers.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541054","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}

引用次数: 0