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

Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data.

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-30 DOI: 10.1109/TBME.2025.3536805

Eleonora Manzoni, Elena Idi, Nunzio Camerlingo, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero

{"title":"Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data.","authors":"Eleonora Manzoni, Elena Idi, Nunzio Camerlingo, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero","doi":"10.1109/TBME.2025.3536805","DOIUrl":"https://doi.org/10.1109/TBME.2025.3536805","url":null,"abstract":"Background: Retrospective analysis of Continuous Glucose Monitoring (CGM) sensor data can play an important role in improving glucose control and driving therapy adjustment in clinical settings. To prevent incorrect clinical decisions, however, preliminary detection and elimination of CGM data portions affected by errors and artifacts is of paramount relevance.Objective: This paper deals with the retrospective model-based detection of Pressure Induced Sensor Attenuations (PISAs) in CGM data, which could be misinterpreted as hypoglycemic events.Methods: In a Bayesian framework, we proposed a method that, to detect PISAs, leverages CGM data and a-priori statistical information on the expected smoothness of the CGM signal and the measurement error affecting it. The proposed strategy's effectiveness is evaluated using an in-silico dataset, generated by the FDA-accepted UVa/Padova Type 1 Diabetes simulator, and a real-world dataset, gathered using a commercial (Dexcom G6) sensor.Results: For the simulated data, the PISAs detection performance achieves a sensitivity of 61.5%, with 0.24 false positives per day. In the real-world dataset, the method exhibits a sensitivity of 57.3%, with 1.15 false positives per day.Conclusions: These results demonstrate the potential of the proposed approach for retrospective detection of PISAs in CGM data.Significance: By removing artifacts, CGM data quality can be improved before its retrospective use for diabetes therapy adjustments.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541258","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

TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase Recognition. TUNeS：用于基于视频的手术阶段识别的具有自注意力的时态 U 网。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-28 DOI: 10.1109/TBME.2025.3535228

Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel

{"title":"TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase Recognition.","authors":"Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel","doi":"10.1109/TBME.2025.3535228","DOIUrl":"https://doi.org/10.1109/TBME.2025.3535228","url":null,"abstract":"Objective: To enable context-aware computer assistance in the operating room of the future, cognitive systems need to understand automatically which surgical phase is being performed by the medical team. The primary source of information for surgical phase recognition is typically video, which presents two challenges: extracting meaningful features from the video stream and effectively modeling temporal information in the sequence of visual features.Methods: For temporal modeling, attention mechanisms have gained popularity due to their ability to capture long-range dependencies. In this paper, we explore design choices for attention in existing temporal models for surgical phase recognition and propose a novel approach that uses attention more effectively and does not require hand-crafted constraints: TUNeS, an efficient and simple temporal model that incorporates self-attention at the core of a convolutional U-Net structure. In addition, we propose to train the feature extractor, a standard CNN, together with an LSTM on preferably long video segments, i.e., with long temporal context.Results: In our experiments, almost all temporal models performed better on top of feature extractors that were trained with longer temporal context. On these contextualized features, TUNeS achieves state-of-the-art results on the Cholec80 dataset.Conclusion: This study offers new insights on how to use attention mechanisms to build accurate and efficient temporal models for surgical phase recognition.Significance: Implementing automatic surgical phase recognition is essential to automate the analysis and optimization of surgical workflows and to enable context-aware computer assistance during surgery, thus ultimately improving patient care.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541661","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

Robotic Assisted Cleft Palate Repair Using Novel 3 mm Tools: A Reachability and Collision Analysis.

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-27 DOI: 10.1109/TBME.2025.3534119

Glenn Maguire, Ethan Tang, Thomas Looi, Dale Podolsky

{"title":"Robotic Assisted Cleft Palate Repair Using Novel 3 mm Tools: A Reachability and Collision Analysis.","authors":"Glenn Maguire, Ethan Tang, Thomas Looi, Dale Podolsky","doi":"10.1109/TBME.2025.3534119","DOIUrl":"https://doi.org/10.1109/TBME.2025.3534119","url":null,"abstract":"Objective: Cleft palate repair is technically challenging: visualization is reduced, delicate dissection is required, and instrument reachability is limited within the infant oral cavity using standard instruments. A 3 mm diameter pin-jointed wristed tool was developed that couples to a da Vinci Research Kit (dVRK) to perform infant cleft palate surgery.Methods: A reachability simulation analysis was performed to determine the number of collisions (tool-tool and tool-cavity) for tool tip positions within the oral cavity and the impact of dVRK trocar height. Tool reachability was measured using a reachability ratio of collision-free to total poses considered for a given oral cavity target point. Three physical experiments were performed using a high-fidelity cleft palate simulator: (1) the 3 mm tools were compared to existing 8 mm tools assessing visual field obstruction and the number of collisions during suturing tasks; (2) an end-to-end robotic assisted cleft palate repair was performed on the simulator using the new tool assessing collisions; and (3) the impact of trocar height on tool performance was investigated to validate the reachability simulation analysis.Results: The 3 mm tools demonstrated fifteen times fewer tool-cavity collisions and 21% less visual obstruction than the 8 mm tools. Average tool-cavity collisions per throw demonstrated an increasing trend posteriorly within the oral cavity (nasal mucosa: , ; oral mucosa: , ); and a 31% increase (, ) with increasing trocar height.Conclusion/significance: Physical experiments validated tool functionality for cleft repair and the reachability analysis reveals increasing collision risk deeper within the oral cavity.","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":"143541350","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

Inter-Channel Correlation-Based EMI Noise Removal (ICER) for Shielding-Free Low-Field MRI. 基于信道间相关性的 EMI 噪声消除（ICER），用于无屏蔽低场磁共振成像。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2025-01-27 DOI: 10.1109/TBME.2025.3534839

Yiman Huang, Shuxian Qu, Yushu Xie, Hanlei Wang, Xinlin Zhang, Xiaotong Zhang

{"title":"Inter-Channel Correlation-Based EMI Noise Removal (ICER) for Shielding-Free Low-Field MRI.","authors":"Yiman Huang, Shuxian Qu, Yushu Xie, Hanlei Wang, Xinlin Zhang, Xiaotong Zhang","doi":"10.1109/TBME.2025.3534839","DOIUrl":"https://doi.org/10.1109/TBME.2025.3534839","url":null,"abstract":"Objective: For low-field magnetic resonance imaging (MRI) in unshielded environment, existing methods have been proposed to eliminate electromagnetic interference (EMI) noise in each single radio-frequency (RF) receive coil. In the present study, we propose to use the EMI information from multiple MRI receive coils collectively in EMI denoising.Methods: The proposed method leverages the information of inter-channel correlation, including EMI detectors and RF receive coils to remove EMI noise. Calibration signals from both EMI detectors and RF receivers are concatenated to determine a de-correlation matrix, which is then used to denoise MRI signals.Results: Saline phantom and in vivo experiments demonstrated the efficacy of the proposed method in EMI elimination, showing that the proposed method outperformed advanced EMI elimination methods with up to 16.34% improvement in EMI noise removal percentage (NRP) and 1.58dB improvement in signal-to-noise ratio (SNR), along with reduced computational times.Conclusion: The proposed method effectively removes EMI noise and shows improved performance by using information from all receive coils.Significance: This method allows for the design of multi-receive coils for low-field MRI such as phased-arrays, which have the potential to enhance the performance in noise removal and improve the SNR in MRI signal acquisition.","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":"143541756","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

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