IEEE Transactions on Biomedical Engineering最新文献_第7页

Acquisition Acceleration of Ultra-low Field MRI with Parallel Imaging and Compressed Sensing in Microtesla Fields. 在微特斯拉场中利用并行成像和压缩传感加速超低场磁共振成像的采集。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-24 DOI: 10.1109/TBME.2024.3466929

Huaiming Wang, Wenlong Feng, Xue Ren, Quan Tao, Liangliang Rong, Yiping P Du, Hui Dong

{"title":"Acquisition Acceleration of Ultra-low Field MRI with Parallel Imaging and Compressed Sensing in Microtesla Fields.","authors":"Huaiming Wang, Wenlong Feng, Xue Ren, Quan Tao, Liangliang Rong, Yiping P Du, Hui Dong","doi":"10.1109/TBME.2024.3466929","DOIUrl":"https://doi.org/10.1109/TBME.2024.3466929","url":null,"abstract":"Objective: In recent years, ultra-low field (ULF) magnetic resonance imaging (MRI) has gained widespread attention due to its advantages, such as low cost, light weight, and portability. However, the low signal-to-noise ratio (SNR) leads to a long scan time. Herein, we study the acceleration performance of parallel imaging (PI) and compressed sensing (CS) in different kspace sampling strategies at 0.12 mT.Methods: This study employs phantoms to assess the efficiency of acceleration methods at ULF MRI, in which signals are detected by ultra-sensitive superconducting quantum interference devices (SQUIDs). We compare the performance of fast Fourier transform (FFT), generalized auto-calibrating partially parallel acquisitions (GRAPPA), and eigenvector-based SPIRiT (ESPIRiT) in Cartesian sampling, while also evaluating non-uniform FFT (NUFFT), GRAPPA operator gridding, and ESPIRiT in nonCartesian sampling. We design a resolution phantom to investigate the effectiveness of these methods in maintaining image resolution.Results: In Cartesian sampling, GRAPPA and ESPIRiT jointly regularized by total variation and ℓ1-norm (TVJℓ1 -ESPIRiT) methods reconstructed good-quality phantom images with an acceleration factor of R = 2. In contrast, TVJℓ1-ESPIRiT exhibited improved image quality and much less signal loss even for R = 4. In radial sampling, TVJℓ1-ESPIRiT reduced the acquisition time to 1.69 minutes at R = 4, with a respective improvement of 12.26 dB in peak SNR compared to NUFFT. The resolution phantom imaging showed that the reconstructions by PI and CS maintained the original resolution of 2 mm.Conclusion and significance: This study improves the practicality of ULF MRI at microtesla fields by implementing imaging acceleration with PI and CS in different k-space sampling.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142345820","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

Active Vibrational Achilles Tendon Sensing for Identifying and Characterizing Inflammatory Symptomatology in Enthesitis Related Arthritis. 主动振动跟腱传感用于识别和描述与跟腱炎相关的关节炎的炎症症状。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-24 DOI: 10.1109/TBME.2024.3466831

Quentin Goossens, Miguel Locsin, Lori A Ponder, Michael Chan, Goktug C Ozmen, Sampath Prahalad, Omer T Inan

{"title":"Active Vibrational Achilles Tendon Sensing for Identifying and Characterizing Inflammatory Symptomatology in Enthesitis Related Arthritis.","authors":"Quentin Goossens, Miguel Locsin, Lori A Ponder, Michael Chan, Goktug C Ozmen, Sampath Prahalad, Omer T Inan","doi":"10.1109/TBME.2024.3466831","DOIUrl":"https://doi.org/10.1109/TBME.2024.3466831","url":null,"abstract":"Objective: This study explores the potential of active vibrational sensing as a digital biomarker to identify and characterize inflammatory symptomatology in the Achilles tendon and its entheses in juvenile idiopathic arthritis (JIA), particularly enthesitis related arthritis (ERA), a subcategory of JIA.Methods: Active vibrational data were non-invasively recorded using a miniature coin vibration motor and accelerometer. Twenty active vibration recordings from children diagnosed with JIA were used in the analysis. Machine learning algorithms were leveraged to classify the vibrational signatures according to the corresponding subject groups. Subjects were classified into symptomatic ERA (sxERA), asymptomatic ERA (asxERA), and asymptomatic JIA (non-ERA) (asxNERA) groups based on clinical evaluations and ILAR criteria.Results: Distinct vibrational signatures were observed during tiptoe standing, providing differentiation between subject groups. Feature-based and waveform-based approaches effectively classified the sxERA group against asxNERA and asxERA groups using leave-one-subject-out (LOSO-CV) and 3-fold cross-validation. For the 3-fold crossvalidation, the mean accuracies for distinguishing sxERA from asxNERA were 81% (feature-based) and 81% (waveform-based), while the accuracies for discriminating sxERA against asxERA were 73% (feature-based) and 74% (waveform-based).Conclusion: Active vibrational sensing demonstrates promise as a tool for identifying Achilles tendon inflammation in JIA, potentially aiding in early diagnosis and disease monitoring.Significance: Developing active vibrational sensing as a diagnostic modality could address challenges in diagnosing ERA and facilitate timely intervention and personalized care for JIA, potentially enhancing long-term patient outcomes.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142345821","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

Beat-to-Beat Oscillometric Blood Pressure Estimation: A Bayesian Approach with System Identification. 逐搏振荡血压估算：贝叶斯方法与系统识别。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-23 DOI: 10.1109/TBME.2024.3465663

Ramin Farzam, Mohammad Hasan Azad, Hamid Abrishami Moghaddam, Mohamad Forouzanfar

{"title":"Beat-to-Beat Oscillometric Blood Pressure Estimation: A Bayesian Approach with System Identification.","authors":"Ramin Farzam, Mohammad Hasan Azad, Hamid Abrishami Moghaddam, Mohamad Forouzanfar","doi":"10.1109/TBME.2024.3465663","DOIUrl":"https://doi.org/10.1109/TBME.2024.3465663","url":null,"abstract":"Objective: Our study aims to advance noninvasive blood pressure (BP) monitoring through the introduction of innovative beat-to-beat oscillometric BP estimation methods. We aim to overcome current device limitations by delivering continuous and accurate BP estimates, utilizing physiologically based mathematical models.Methods: We developed novel beat-to-beat oscillometric BP estimation methods based on physiologically grounded mathematical models of intra-arterial BP and the arterial system effect. Our approach includes a recursive Bayesian method for parameter estimation and a new system identification technique to refine initial parameter estimates. We tested our methods through simulations and real-world experiments involving 10 individuals.Results: Mean errors for systolic and diastolic BP were as low as -1.26 mmHg and 2.03 mmHg, respectively, with standard deviations of errors at 5.95 mmHg and 4.16 mmHg. Furthermore, our methods enabled the estimation of additional cardiovascular parameters such as heart rate, respiration rate, and mean arterial pressure.Conclusion: Our novel beat-to-beat oscillometric BP estimation methods offer a significant advancement in noninvasive BP monitoring technology, addressing the limitations of current devices by providing continuous beat-to-beat BP estimates.Significance: Our approach represents a promising direction for improving the reliability and comprehensiveness of cardiovascular parameter estimation in noninvasive BP monitoring devices, facilitating more effective patient care and monitoring.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307684","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

A Transmit-Receive Phased Array for Microbubble-Mediated Focused Ultrasound Brain Therapy in Small Animals. 用于小动物微泡介导聚焦超声脑治疗的发射-接收相控阵。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-23 DOI: 10.1109/TBME.2024.3466550

Yi Lin, Dallan McMahon, Ryan M Jones, Kullervo Hynynen

{"title":"A Transmit-Receive Phased Array for Microbubble-Mediated Focused Ultrasound Brain Therapy in Small Animals.","authors":"Yi Lin, Dallan McMahon, Ryan M Jones, Kullervo Hynynen","doi":"10.1109/TBME.2024.3466550","DOIUrl":"10.1109/TBME.2024.3466550","url":null,"abstract":"Focused ultrasound (FUS) combined with circulating microbubbles (MBs) can be employed for non-invasive, localized agent delivery across the blood-brain barrier (BBB). Previous work has demonstrated the feasibility of clinical-scale transmit-receive phased arrays for performing transcranial therapies under MB imaging feedback.Objective: This study aimed to design, construct, and evaluate a dual-mode phased array for MB-mediated FUS brain therapy in small animals.Methods: A 256-element sparse hemispherical array (100 mm diameter) was fabricated by installing 128 PZT cylinder transmitters (f0 = 1.16 MHz) and 128 broadband PVDF receivers within a 3D-printed scaffold.Results: The transmit array's focal size at the geometric focus was 0.8 mm × 0.8 mm × 1.7 mm, with a 31 mm/27 mm (lateral/axial) steering range. The receive array's point spread function was 0.6 mm × 0.6 mm × 1.5 mm (1.16 MHz source) at the geometric focus, and sources were localized up to 30 mm/16 mm (lateral/axial) from geometric focus. The array was able to spatially map MB cloud activity in 3D throughout a vessel-mimicking phantom at sub-, ultra-, and second-harmonic frequencies. Preliminary in-vivo work demonstrated its ability to induce localized BBB permeability changes under 3D sub-harmonic MB imaging feedback in a mouse model.Conclusion: Small form factor transmit-receive phased arrays enable acoustic imaging-controlled FUS and MB-mediated brain therapies with high targeting precision required for rodent studies.Significance: Dual-mode phased arrays dedicated for small animal use will facilitate high-throughput studies of FUS-mediated BBB permeability enhancement to explore novel therapeutic strategies for future clinical application.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307683","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

Integrated Difference Autocorrelation: A Novel Approach to Estimate Shear Wave Speed in the Presence of Compression Waves. 综合差分自相关：在存在压缩波的情况下估算剪切波速度的新方法。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-20 DOI: 10.1109/TBME.2024.3464104

Hamidreza Asemani, Jannick P Rolland, Kevin J Parker

{"title":"Integrated Difference Autocorrelation: A Novel Approach to Estimate Shear Wave Speed in the Presence of Compression Waves.","authors":"Hamidreza Asemani, Jannick P Rolland, Kevin J Parker","doi":"10.1109/TBME.2024.3464104","DOIUrl":"10.1109/TBME.2024.3464104","url":null,"abstract":"Objective: In share wave elastography (SWE), the aim is to measure the velocity of shear waves, however unwanted compression waves and bulk tissue motion pose challenges in evaluating tissue stiffness. Conventional approaches often struggle to discriminate between shear and compression waves, leading to inaccurate shear wave speed (SWS) estimation. In this study, we propose a novel approach known as the integrated difference autocorrelation (IDA) estimator to accurately estimate reverberant SWS in the presence of compression waves and noise.Methods: The IDA estimator, unlike conventional techniques, computes the subtraction of velocity between neighboring particles, effectively minimizing the impact of long wavelength compression waves and other wide-area movements such as those caused by respiration. We evaluated the effectiveness of IDA by: (1) using k-Wave simulations of a branching cylinder in a soft background, (2) using ultrasound elastography on a breast phantom, (3) using ultrasound elastography in the human liver-kidney region, and (4) using magnetic resonance elastography (MRE) on a brain phantom.Results: By applying IDA to unfiltered contaminated wave fields of simulation and elastography experiments, the estimated SWSs are in good agreement with the ground truth values (i.e., less than 2% error for the simulation, 9% error for ultrasound elastography of the breast phantom and 19% error for MRE).Conclusion: Our results demonstrate that IDA accurately estimates SWS, revealing the existence of a lesion, even in the presence of strong compression waves.Significance: IDA exhibits consistency in SWS estimation across different modalities and excitation scenarios, highlighting its robustness and potential clinical utility.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142286072","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

Estimating Ground Reaction Forces from Inertial Sensors. 通过惯性传感器估算地面反作用力

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-20 DOI: 10.1109/TBME.2024.3465373

B Song, M Paolieri, H E Stewart, L Golubchik, J L McNitt-Gray, V Misra, D Shah

{"title":"Estimating Ground Reaction Forces from Inertial Sensors.","authors":"B Song, M Paolieri, H E Stewart, L Golubchik, J L McNitt-Gray, V Misra, D Shah","doi":"10.1109/TBME.2024.3465373","DOIUrl":"https://doi.org/10.1109/TBME.2024.3465373","url":null,"abstract":"Objective: Our aim is to determine if data collected with inertial measurement units (IMUs) during steady-state running could be used to estimate ground reaction forces (GRFs) and to derive biomechanical variables (e.g., contact time, impulse, change in velocity) using lightweight machine-learning approaches. In contrast, state-of-the-art estimation using LSTMs suffers from prohibitive inference times on edge devices, requires expensive training and hyperparameter optimization, and results in black box models.Methods: We proposed a novel lightweight solution, SVD Embedding Regression (SER), using linear regression between SVD embeddings of IMU data and GRF data. We also compared lightweight solutions including SER and k-Nearest-Neighbors (KNN) regression with state-of-the-art LSTMs.Results: We performed extensive experiments to evaluate these techniques under multiple scenarios and combinations of IMU signals and quantified estimation errors for predicting GRFs and biomechanical variables. We did this using training data from different athletes, from the same athlete, or both, and we explored the use of acceleration and angular velocity data from sensors at different locations (sacrum and shanks).Conclusion: Our results illustrated that lightweight solutions such as SER and KNN can be similarly accurate or more accurate than LSTMs. The use of personal data reduced estimation errors of all methods, particularly for most biomechanical variables (as compared to GRFs); moreover, this gain was more pronounced in the lightweight methods.Significance: The study of GRFs is used to characterize the mechanical loading experienced by individuals in movements such as running, which is clinically applicable to identify athletes at risk for stress-related injuries.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142286071","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

S2P-Matching: Self-supervised Patch-based Matching Using Transformer for Capsule Endoscopic Images Stitching. S2P-匹配：使用变换器进行基于补丁的自我监督匹配，用于胶囊内窥镜图像缝合。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-20 DOI: 10.1109/TBME.2024.3462502

Feng Lu, Dao Zhou, Haoyang Chen, Shuai Liu, Xianliang Ling, Lei Zhu, Tingting Gong, Bin Sheng, Xiaofei Liao, Hai Jin, Ping Li, David Dagan Feng

{"title":"S2P-Matching: Self-supervised Patch-based Matching Using Transformer for Capsule Endoscopic Images Stitching.","authors":"Feng Lu, Dao Zhou, Haoyang Chen, Shuai Liu, Xianliang Ling, Lei Zhu, Tingting Gong, Bin Sheng, Xiaofei Liao, Hai Jin, Ping Li, David Dagan Feng","doi":"10.1109/TBME.2024.3462502","DOIUrl":"https://doi.org/10.1109/TBME.2024.3462502","url":null,"abstract":"The Magnetically Controlled Capsule Endoscopy (MCCE) has a limited shooting range, resulting in capturing numerous fragmented images and an inability to precisely locate and examine the region of interest (ROI) as traditional endoscopy can. Addressing this issue, image stitching around the ROI can be employed to aid in the diagnosis of gastrointestinal (GI) tract conditions. However, MCCE images possess unique characteristics, such as weak texture, close-up shooting, and large angle rotation, presenting challenges to current image-matching methods. In this context, a method named S2P-Matching is proposed for self-supervised patch-based matching in MCCE image stitching. The method involves augmenting the raw data by simulating the capsule endoscopic camera's behavior around the GI tract's ROI. Subsequently, an improved contrast learning encoder is utilized to extract local features, represented as deep feature descriptors. This encoder comprises two branches that extract distinct scale features, which are combined over the channel without manual labeling. The data-driven descriptors are then input into a Transformer model to obtain patch-level matches by learning the globally consented matching priors in the pseudo-ground-truth match pairs. Finally, the patch-level matching is refined and filtered to the pixel-level. The experimental results on real-world MCCE images demonstrate that S2P-Matching provides enhanced accuracy in addressing challenging issues in the GI tract environment with image parallax. The performance improvement can reach up to 203 and 55.8% in terms of NCM (Number of Correct Matches) and SR (Success Rate), respectively. This approach is expected to facilitate the wide adoption of MCCE-based gastrointestinal screening.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142286073","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

Wearable magnetoencephalography in a lightly shielded environment. 轻屏蔽环境下的可穿戴式脑磁图。

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-20 DOI: 10.1109/TBME.2024.3465654

Niall Holmes, James Leggett, Ryan M Hill, Lukas Rier, Elena Boto, Holly Schofield, Tyler Hayward, Eliot Dawson, David Woolger, Vishal Shah, Samu Taulu, Matthew J Brookes, Richard Bowtell

{"title":"Wearable magnetoencephalography in a lightly shielded environment.","authors":"Niall Holmes, James Leggett, Ryan M Hill, Lukas Rier, Elena Boto, Holly Schofield, Tyler Hayward, Eliot Dawson, David Woolger, Vishal Shah, Samu Taulu, Matthew J Brookes, Richard Bowtell","doi":"10.1109/TBME.2024.3465654","DOIUrl":"10.1109/TBME.2024.3465654","url":null,"abstract":"Wearable magnetoencephalography based on optically pumped magnetometers (OPM-MEG) offers non-invasive and high-fidelity measurement of human brain electrophysiology. The flexibility of OPM-MEG also means it can be deployed in participants of all ages and permits scanning during movement. However, the magnetic fields generated by neuronal currents - which form the basis of the OPM-MEG signal - are much smaller than environmental fields, and this means measurements are highly sensitive to interference. Further, OPMs have a low dynamic range, and should be operated in near-zero background field. Scanners must therefore be housed in specialised magnetically shielded rooms (MSRs), formed from multiple layers of shielding material. The MSR is a critical component, and current OPM-optimised shields are large (>3 m in height), heavy (>10,000 kg) and expensive (with up to 5 layers of material). This restricts the uptake of OPM-MEG technology. Here, we show that the application of the Maxwell filtering techniques signal space separation (SSS) and its spatiotemporal extension (tSSS) to OPM-MEG data can isolate small signals of interest measured in the presence of large interference. We compare phantom recordings and MEG data from a participant performing a motor task in a state-of-the-art 5-layer MSR, to similar data collected in a lightly shielded room: application of tSSS to data recorded in the lightly shielded room allowed accurate localisation of a dipole source in the phantom and neuronal sources in the brain. Our results point to future deployment of OPM-MEG in lighter, cheaper and easier-to-site MSRs which could catalyse widespread adoption of the technology.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142286074","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

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

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-19 DOI: 10.1109/TBME.2024.3443762

引用次数: 0

IEEE Transactions on Biomedical Engineering Information for Authors IEEE 生物医学工程论文集作者须知

IF 4.4 2区医学

IEEE Transactions on Biomedical Engineering Pub Date : 2024-09-19 DOI: 10.1109/TBME.2024.3443764

引用次数: 0