{"title":"Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging from EEG Signals.","authors":"Tianyou Yu, Xinxin Hu, Yanbin He, Wei Wu, Zhenghui Gu, Zhuliang Yu, Yuanqing Li, Fei Wang, Jun Xiao","doi":"10.1109/TBME.2025.3561228","DOIUrl":"https://doi.org/10.1109/TBME.2025.3561228","url":null,"abstract":"<p><p>Deep learning-based methods for automatic sleep staging offer an efficient and objective alternative to costly manual scoring. However, their reliance on extensive labeled datasets and the challenge of generalization to new subjects and datasets limit their widespread adoption. Self-supervised learning (SSL) has emerged as a promising solution to address these issues by learning transferable representations from unlabeled data. This study highlights the effectiveness of SSL in automated sleep staging, utilizing a customized SSL approach to train a multi-view sleep staging model. This model includes a temporal view feature encoder for raw EEG signals and a spectral view feature encoder for time-frequency features. During pretraining, we incorporate a cross-view contrastive loss in addition to a contrastive loss for each view to learn complementary features and ensure consistency between views, enhancing the transferability and robustness of learned features. A dynamic weighting algorithm balances the learning speed of different loss components. Subsequently, these feature encoders, combined with a sequence encoder and a linear classifier, enable sleep staging after finetuning with labeled data. Evaluation on three publicly available datasets demonstrates that finetuning the entire SSL-pretrained model achieves competitive accuracy with state-of-the-art methods-86.4%, 83.8%, and 85.5% on SleepEDF-20, SleepEDF-78, and MASS datasets, respectively. Notably, our framework achieves near-equivalent performance with only 5% of the labeled data compared to full-label supervised training, showcasing SSL's potential to enhance automated sleep staging efficiency.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144006015","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}
Seonho Jung, Minh Duc Ta, Van Gia Troung, Seonghee Lim, Yeachan Lee, Hyun Wook Kang
{"title":"Development of concentric photothermal ablation for duodenal mucosal resurfacing.","authors":"Seonho Jung, Minh Duc Ta, Van Gia Troung, Seonghee Lim, Yeachan Lee, Hyun Wook Kang","doi":"10.1109/TBME.2025.3561260","DOIUrl":"https://doi.org/10.1109/TBME.2025.3561260","url":null,"abstract":"<p><strong>Objectives: </strong>Duodenal mucosal resurfacing (DMR) is a surgical method to treat type 2 diabetic mellitus. The current study developed laser-assisted photothermal DMR to ablate the duodenal mucosal surface in an instant and selective, compared with conventional DMR methods.</p><p><strong>Methods: </strong>A 1470 nm wavelength was selected for the current study because of its high optical absorption coefficient in intestine tissue. A radial optical fiber was designed for concentric irradiation to the duodenal mucosal surface. Ex vivo liver tests were performed to evaluate various irradiation energy (25-400 J). Both numerical simulations and an ex vivo duodenum tests were conducted to confirm the thermal response of the duodenum to the laser irradiation. In vivo experiments were performed to evaluate the depth of the ablated duodenal mucosa after the treatment.</p><p><strong>Result: </strong>The extent of the coagulation area in ex vivo liver tissue after laser irradiation increased with the energy delivery. Numerical simulations and ex vivo duodenum experiments showed a concentric temperature distribution in the duodenum wall. The histological assessment following in vivo experiments revealed that the 10 W for 15 s condition ablated the duodenal mucosal layer in the cross-sectional direction by more than 50%, compared to the control.</p><p><strong>Conclusion: </strong>1470 nm laser light with concentric radial irradiation under 10 W for 15 s ablated the sufficient depth of the duodenal mucosal layer. Further in vivo studies will be performed to confirm the efficacy of the photothermal DMR.</p><p><strong>Significance: </strong>The current study demonstrated the feasibility of a novel photothermal ablation for DMR.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144012256","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}
Mohamed Abul Hassan, Pu Sun, Xiangnan Zhou, Lisanne Kraft, Kelsey T Hadfield, Katjana Ehrlich, Jinyi Qi, Andrew Birkeland, Laura Marcu
{"title":"Data-Centric Learning Framework for Real- Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery.","authors":"Mohamed Abul Hassan, Pu Sun, Xiangnan Zhou, Lisanne Kraft, Kelsey T Hadfield, Katjana Ehrlich, Jinyi Qi, Andrew Birkeland, Laura Marcu","doi":"10.1109/TBME.2025.3557376","DOIUrl":"https://doi.org/10.1109/TBME.2025.3557376","url":null,"abstract":"<p><p>This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology is the accurate detection of the aiming beam, which is essential for localizing points used to map FLIm measurements onto the tissue region within the surgical field. The primary challenge arises from the complex and variable conditions encountered in the surgical environment, particularly in Transoral Robotic Surgery (TORS). Uneven illumination in the surgical field can cause reflections, reduce contrast, and results in inconsistent color representation, further complicating aiming beam detection. To overcome these challenges, an instance segmentation model was developed using a datacentric training strategy that improves accuracy by minimizing label noise and enhancing detection robustness. The model was evaluated on a dataset comprising 40 in vivo surgical videos, demonstrating a median detection rate of 85%. This performance was maintained when the model was integrated in a clinical system, achieving a similar detection rate of 85% during TORS procedures conducted in patients. The system's computational efficiency, measured at approximately 24 frames per second (FPS), was sufficient for real-time surgical guidance. This study enhances the reliability of FLIm-based aiming beam detection in complex surgical environments, advancing the feasibility of real-time, imageguided interventions for improved surgical precision.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017674","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}
{"title":"A Novel Framework for Cross-User Open-Set Myoelectric Pattern Recognition.","authors":"Ge Gao, Xu Zhang, Le Wu, Xiang Chen, Zhang Chen","doi":"10.1109/TBME.2025.3560695","DOIUrl":"https://doi.org/10.1109/TBME.2025.3560695","url":null,"abstract":"<p><strong>Objective: </strong>This study is aimed to develop a robust myoelectric pattern recognition method for simultaneously alleviating cross-user variability and outlier motion interference.</p><p><strong>Methods: </strong>In the proposed method, a convolutional neural network (CNN)-based feature extractor is pre-trained using the data from a set of existing users. Next, a few labeled data of inlier motions recorded from a new user are utilized to implement model transfer and adaptation, while the prototype representation of each inlier motion is calibrated. In this process, a Euclidean metricbased prototypical loss is adopted to facilitate inter-class separability and intra-class compactness. Subsequently, any inlier/outlier motion is tested and identified based on a prototype matching procedure. The proposed method was evaluated on surface electromyogram signals recorded by an 8-channel armband from twenty subjects, including six inlier motions and ten outlier motions.</p><p><strong>Results: </strong>When testing with each subject following a leave-one-out testing strategy (the remaining subjects were considered to form a set of existing users for pre-training a model), the proposed method achieved average accuracies of 82.37 ± 1.21% for the inlier motion recognition and 97.21 ± 2.65% for the outlier motion rejection, respectively, and it outperformed the existing methods with statistical significance (p < 0.05).</p><p><strong>Conclusion: </strong>The proposed method yielded excellent performance in cross-user open-set myoelectric pattern recognition with only a short and simple calibration routine.</p><p><strong>Significance: </strong>Our work offers a valuable solution for improving the robustness and usability of myoelectric gestural interfaces.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144013985","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}
Jin Tian, Baichun Wei, Chifu Yang, Suo Luo, Jiadong Feng, Ping Li, Changbing Chen, Yingjie Liu, Haiqi Zhu, Chunzhi Yi
{"title":"Effects of Muscle Synergy during Overhead Work with a Passive Shoulder Exoskeleton: A Case Study.","authors":"Jin Tian, Baichun Wei, Chifu Yang, Suo Luo, Jiadong Feng, Ping Li, Changbing Chen, Yingjie Liu, Haiqi Zhu, Chunzhi Yi","doi":"10.1109/TBME.2025.3560627","DOIUrl":"https://doi.org/10.1109/TBME.2025.3560627","url":null,"abstract":"<p><strong>Objective: </strong>Shoulder exoskeletons can effectively assist with overhead work. However, their impacts on muscle synergy remain unclear. The objective of this study is to investigate the effects of muscle synergies during exoskeleton-assisted overhead work.</p><p><strong>Methods: </strong>Eight participants performed a screwing task both with and without the exoskeleton. Eight muscles were monitored and muscle synergies were extracted using non-negative matrix factorization and electromyographic maps.</p><p><strong>Results: </strong>The number of synergies extracted was the same (n = 2) in both conditions. Specifically, the first synergies in both conditions were identical, with the highest weight of anterior deltoid and middle deltoid; while the second synergies were different between conditions, with highest weight of pectoralis major and middle deltoid, respectively. Compared to the condition without the exoskeleton, the first row of the activation coefficient matrix (i.e., activation profile) showed a significant decrease, with the corresponding average recruitment level and activation duration were significantly lower (p<0.05). The regression analysis shows the changes of muscle synergies did not influence the sparseness of muscle synergies (i.e., the degree of concentration of muscles within synergies, p = 0.7341). The mean value exhibited a significant decrease (p<0.001) and the entropy which measured the uniformity of muscle activation significantly increased(p<0.01).</p><p><strong>Conclusion: </strong>The exoskeleton did not alter the number of synergies and existing major synergies. It can significantly decrease muscle activity and may influence the uniformity of monitored muscle activations.</p><p><strong>Significance: </strong>This study provides insights into the potential mechanisms of exoskeleton-assisted overhead work and guidance on improving the performance of exoskeletons.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143984588","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}
{"title":"A Closed-Loop Tactile Stimulation Training Protocol for Motor Imagery-Based BCI: Boosting BCI Performance for BCI-Deficiency Users.","authors":"Yucun Zhong, Yueming Wang, Dario Farina, Lin Yao","doi":"10.1109/TBME.2025.3560713","DOIUrl":"https://doi.org/10.1109/TBME.2025.3560713","url":null,"abstract":"<p><strong>Background: </strong>Brain-computer interfaces (BCIs) enable users to control and communicate with the external environment. However, a significant challenge in BCI research is the occurrence of \"BCI-illiteracy\" or \"BCI-deficiency\", where a notable percentage of users (estimated at 15 to 30%) are unable to achieve successful BCI control. For those users, they are struggling to generate stable and distinguishable brain activity patterns, which are essential for BCI control. Existing neurofeedback training protocols, often rely on the trial-and-error process, which is time-consuming and inefficient, particularly for these low-performing users.</p><p><strong>Methods: </strong>To address this issue, we propose a closed-loop tactile stimulation training protocol, in which tactile stimulation training is incorporated within the closed neurofeedback loop, providing users with explicit guidance on how to correctly perform MI tasks. When a subject performs an incorrect MI trial, tactile-assisted MI training is provided to guide the user toward the correct brain state, while no training is given during correct performance.</p><p><strong>Results: </strong>The results from our study demonstrated that the proposed training protocol significantly enhances BCI decoding performance, with an improvement of 16.9%. Moreover, the BCI-deficiency rate was reduced by 61.5%. Further analysis revealed that the training process also led to enhanced motor imagery-related cortical activation.</p><p><strong>Conclusion: </strong>The proposed training protocol significantly improved BCI decoding performance, enabling previously BCI-deficient users to surpass the 70% control threshold.</p><p><strong>Significance: </strong>This study demonstrates the effectiveness of closed-loop tactile-assisted training in enhancing BCI accessibility and efficiency, paving the way for more inclusive neurofeedback-based BCI training strategies.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143970110","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}
Xiangyu He, Krishnaraj Narayanaswamy, Michael B Fischer, Leonie Schmitt, Teresa Ruthmeier, Barbara Messner, Stefan Jakubek, Daniel Zimpfer, Marcus Granegger
{"title":"In-vitro Hemocompatibility Evaluation of the HeartMate 3 under Realistic Operating Conditions.","authors":"Xiangyu He, Krishnaraj Narayanaswamy, Michael B Fischer, Leonie Schmitt, Teresa Ruthmeier, Barbara Messner, Stefan Jakubek, Daniel Zimpfer, Marcus Granegger","doi":"10.1109/TBME.2025.3560187","DOIUrl":"https://doi.org/10.1109/TBME.2025.3560187","url":null,"abstract":"<p><strong>Objective: </strong>Operating conditions significantly influence hemolysis generation in rotodynamic blood pumps (RBPs). Previous experiments conducted under constant operating conditions have demonstrated that lower flow rates are associated with a higher normalized index of hemolysis (NIH). However, in clinical scenarios, the pump flow rate fluctuates in response to the residual cardiac function. This study aims to investigate the effects of various pulsatile operating conditions on hemolysis generation and von Willebrand Factor (vWF) degradation of RBP.</p><p><strong>Methods: </strong>To investigate these conditions, pulsatile flow experiments were conducted for 12 hours using HeartMate 3 (HM3, Abbott Inc, USA) in a hybrid mock circulatory loop with citrated human blood from hemochromatosis patients. Three operating conditions (high, low, and no residual cardiac function) were examined under two pump speed settings: normal (5400rpm, 4.3L/min) and low (4800rpm, 2.5L/min). Hemolysis was assessed by measuring delta free hemoglobin every 30 minutes (dfHb30min) and calculating NIH. High molecular weight (HMW) vWF multimer degradation was assessed using immunoblotting.</p><p><strong>Results: </strong>There was no significant difference in dfHb30min (p>0.388), NIH (p>0.382), and HMW vWF multimers degradation (p>0.364) between the three operating conditions, but differences in these parameters were observed between the normal and low speed settings. Meanwhile, a consistent trend in the hemolysis outcomes was observed with slightly elevated hemolysis in no and high pulsatility conditions of both speed settings.</p><p><strong>Conclusion: </strong>Hemocompatibility of the HM3 is not significantly affected by periodic high/low flow or backflows through the pump in in-vitro evaluation but rather by the pump operating condition: flow rate and pump speed.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998272","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}
{"title":"Role of Aortic Root Motion in Fluid-Structure Interaction Simulations of Ascending Thoracic Aortic Aneurysm.","authors":"Yu Zhu, Binghuan Li, Chloe Armour, Selene Pirola, Yousuf Salmasi, Thanos Athanasiou, Declan P O'Regan, Xiao Yun Xu","doi":"10.1109/TBME.2025.3558436","DOIUrl":"10.1109/TBME.2025.3558436","url":null,"abstract":"<p><strong>Objective: </strong>Computational modelling of ascending thoracic aortic aneurysms (ATAA) typically assumes zerodisplacement at the model's inlet. In this study we incorporated different types of aortic root motion into fluid-structure interaction (FSI) models representing an ATAA and a healthy aorta to examine their impacts on wall stress and wall shear stress (WSS) predictions.</p><p><strong>Methods: </strong>Five types of boundary conditions were specified at the inlet of the solid domain: (a) zerodisplacement constraints, (b) longitudinal displacement, (c) inplane displacement, (d) combined longitudinal and in-plane displacement, and (e) rotation. The aortic walls were prestressed and modelled as anisotropic hyperelastic materials. A transitional turbulence model was employed to simulate the non-Newtonian blood flow, together with patient-specific boundary conditions.</p><p><strong>Results: </strong>Combined longitudinal and in-plane displacement at the aortic root increased regions with elevated maximum principal stress (MPS > 250 kPa) by 331% for the healthy aorta, and 57.1% for the ATAA model. Peak wall stress showed modest increases by 11.4% and 14% in the ATAA model and healthy aorta, respectively. Combined longitudinal and in-plane displacement increased the area of extremely high WSS regions (> 20 Pa) by 20.5% in the ATAA model, primarily in the ascending aorta. For the healthy aorta, rotation had the most notable impact on WSS, reducing the area of elevated WSS regions (> 7 Pa) by 18.8%.</p><p><strong>Conclusion: </strong>Our results highlight the importance of incorporating aortic root motion into FSI models for more accurate prediction of aortic wall stress and WSS. This would enhance patient-specific risk stratification for patients with ATAA.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803109","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}
{"title":"Transcranial Focused Ultrasound Modulates Visual Thalamus in a Nonhuman Primate Model.","authors":"Kai Yu, Bin He","doi":"10.1109/TBME.2025.3554935","DOIUrl":"10.1109/TBME.2025.3554935","url":null,"abstract":"<p><strong>Objective: </strong>The thalamus plays a pivotal role as a neural hub, integrating and distributing visual information to cortical regions responsible for visual processing. Transcranial focused ultrasound (tFUS) has emerged as a promising non-invasive brain stimulation technology, enabling modulation of neural circuits with high spatial precision. This study investigates the tFUS neuromodulation at visual thalamus and characterizes the resultant effects on interconnected visual areas in a nonhuman primate model.</p><p><strong>Methods: </strong>Experiments were conducted on a rhesus macaque trained in a visual fixation task, combining tFUS stimulation with simultaneous scalp electroencephalography (EEG) and intracranial recordings from area V4, a region closely linked to the thalamus. Ultrasound was delivered through a 128-element random array ultrasound transducer operating at 700 kHz, with the focus steered onto the pulvinar of the thalamus based on neuroanatomical atlas and individual brain model.</p><p><strong>Results: </strong>EEG source imaging revealed localized tFUS-induced activities in the thalamus, midbrain, and visual cortical regions. Critically, tFUS stimulation of the pulvinar can elicit robust neural responses in V4 without visual input, manifested as significant modulations in local field potentials, elevated alpha and gamma power, corroborating the functional thalamocortical connectivity. Furthermore, the tFUS neuromodulatory effects on visually-evoked V4 activities were region-specific within the thalamus and dependent on ultrasound pulse repetition frequency.</p><p><strong>Conclusion: </strong>This work provides direct electrophysiological evidence demonstrating the capability of tFUS in modulating the visual thalamus and its functional impact on interconnected cortical regions in a large mammalian model, paving the way for potential investigations for tFUS treating visual, sensory, and cognitive impairments.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803113","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}
Kostiantyn Ahapov, Peter Ruppersberg, Philip Haeusser, Melissa H Kong, Michael Moeller
{"title":"Spatio-Temporal Activation Wavefront Reconstruction From Sparsely Sampled Electrograms.","authors":"Kostiantyn Ahapov, Peter Ruppersberg, Philip Haeusser, Melissa H Kong, Michael Moeller","doi":"10.1109/TBME.2025.3552356","DOIUrl":"10.1109/TBME.2025.3552356","url":null,"abstract":"<p><strong>Objective: </strong>Panoramic basket catheters offer a rapid alternative to conventional local activation time (LAT) mapping for visualizing conduction patterns in arrhythmia patients. However, their limited spatial resolution often makes producing highly interpretable visualizations of the underlying phenomena challenging. We propose a novel interpolation method that addresses uncertainties arising from limited spatial resolution and variable tissue contact associated with basket catheters. By leveraging high sampling rates in the time domain to impose spatio-temporal constraints on the reconstruction, we enable enhanced spatial resolution in visualizing wave propagation.</p><p><strong>Methods: </strong>We constructed overlapping triangles from adjacent electrodes. The local apparent conduction velocity (CV) was estimated from cross-correlations of signals, and the triangles were classified into linear conducting, singularity, and non-conducting types based on CV and goodness of fit. Within each triangle, a linear constraint was imposed on the reconstruction, depending on the triangle type, by projecting signals along the CV. A smoothness constraint was added to ensure consistency at clique boundaries. The hyperparameters were calibrated in an unsupervised manner.</p><p><strong>Results: </strong>The proposed method reduced the activation time estimation error by up to 15% compared to traditional interpolation methods in simulations and showed qualitative consistency with LAT maps in clinical cases.</p><p><strong>Conclusion: </strong>The method enhances spatial resolution in panoramic mapping, mitigating aliasing and signal artifacts, especially in regions with complex wavefronts or large inter-electrode distances.</p><p><strong>Significance: </strong>The proposed method enables fast and accurate visualizations of panoramic conduction patterns from a single atrial cycle, potentially reducing procedure times compared to sequential mapping.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143784455","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}