Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference最新文献_第6页

Predicting Early Deterioration in Lower Acuity Telehealth Patients Using Gradient Boosting.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782253

Ricardo Ricci Lopes, Holly Chavez, Louis Atallah

{"title":"Predicting Early Deterioration in Lower Acuity Telehealth Patients Using Gradient Boosting.","authors":"Ricardo Ricci Lopes, Holly Chavez, Louis Atallah","doi":"10.1109/EMBC53108.2024.10782253","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782253","url":null,"abstract":"Timely recognition of physiological abnormalities is vital for early intervention, potentially preventing adverse outcomes and minimizing the need for transfer to a higher level of care. This is a primary focus of telehealth monitoring in which remote clinicians utilize population management to identify and prioritize patients of concern or instability. This work proposes an Early Warning Score model based on gradient boosting, emphasizing prompt deterioration detection, especially tailored to patients in lower acuity units (e.g. - medical/surgical) who are also receiving telehealth monitoring. Data included 36,963 patient encounters from the eICU Research Institute database. The model utilizes 35 features extracted from demographics, vital signs, and laboratory data. It showed enhanced performance in comparison to a version of the Modified Early Warning Score (MEWS*) that considers age and oxygen saturation instead of the level of consciousness. The model achieved an AUROC of 0.79 and AUPRC of 0.28, 24 hours before deterioration, surpassing MEWS* with values of 0.67 and 0.07, respectively. Within an hour before deterioration happens, the proposed model achieved an AUROC of 0.86 and AUPRC of 0.42 while MEWS* achieved 0.74 and 0.21, respectively. Future investigations will focus on exploring the impact of missing data, continuous performance for individual patients, and integration into clinical workflows.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782471

Danqing Hu, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu

{"title":"Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach.","authors":"Danqing Hu, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu","doi":"10.1109/EMBC53108.2024.10782471","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782471","url":null,"abstract":"Lung cancer is the leading cause of cancer death worldwide. Lymph node metastasis (LNM) status plays a vital role in determining the initial treatment for lung cancer patients, but it is difficult to diagnose accurately before surgery. Developing an LNM prediction model using multimodal data is the mainstream solution for this clinical problem. However, the current multimodal fusion methods may suffer from performance degradation when one type of modal data has poor predictive performance. In this study, we presented a two-stage multimodal data fusion approach to alleviate this problem. We first constructed unimodal prediction models using unimodal data separately and then used the encoders of the unimodal with frozen parameters as feature extractors and re-trained a new decoder to achieve the multimodal data fusion. We conducted experiments on real clinical multimodal data of 681 lung cancer patients collected from Peking University Cancer Hospital. Experimental results show that the proposed approach outperformed the state-of-the-art LNM prediction models and different multimodal fusion strategies. We conclude that the proposed method is a good option for multimodal data fusion when image data has poor discriminative performance.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methodology for Measurement in Vivo Ankle Joint Kinematics after Two Different Types of Total Ankle Arthroplasty.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782043

Rea Ikeda, Hiroaki Kurokawa, Shinichi Kosugi, Yasuhito Tanaka, Masataka Yamamoto, Hiroshi Takemura

{"title":"Methodology for Measurement in Vivo Ankle Joint Kinematics after Two Different Types of Total Ankle Arthroplasty.","authors":"Rea Ikeda, Hiroaki Kurokawa, Shinichi Kosugi, Yasuhito Tanaka, Masataka Yamamoto, Hiroshi Takemura","doi":"10.1109/EMBC53108.2024.10782043","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782043","url":null,"abstract":"Revision surgery due to relatively high rates of loosening and implant subsidence is one of critical problems after total ankle arthroplasty (TAA). In Japan, ahead of the world, two types of TAA with differently shaped alumina ceramic implants are being used in recently. For one type, Standard TAA, an analysis of ankle joint kinematics after replacement has been performed. However, the method is specific to its implant for standard TAA, and ankle joint kinematics after the other type, Combined TAA, has not been analyzed or compared in terms of kinematics. In addition, the previous method has critical issue of reproducibility because it includes manual processes. The purpose of this study is to develop in vivo kinematics analysis method of ankle joint after Standard TAA and Combined TAA that can be used to compare them. Definition of reference systems using common implant shapes features enabled kinematics analysis independent of its shape. Also, calculating ankle joint kinematics using iterative closest point (ICP) algorithm enabled a uniform analysis without any manual processes. The proposed method allows comparison of ankle joint kinematics after Standard TAA and Combined TAA with automatically and reproducibility. The analysis results may lead to the development of optimal implant shapes.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782553

Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari

{"title":"Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics.","authors":"Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari","doi":"10.1109/EMBC53108.2024.10782553","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782553","url":null,"abstract":"Cardiovascular diseases (CVDs), a leading cause of global mortality, are intricately linked to arterial stiffness, a key factor in cardiovascular health. Non-invasive assessment of arterial stiffness, particularly through Carotid-to-femoral Pulse Wave Velocity (cf-PWV) - the gold standard in this field - is vital for early detection and management of CVDs. This study introduces a novel approach, utilizing photoplethysmogram (PPG) signal spectrograms as inputs for deep learning models to estimate cf-PWV, a significant advancement over traditional methods. Employing a modified ResNet-18 architecture, we analyze PPG signals from digital, radial, and brachial arteries of a simulated dataset of 4374 healthy adults. Our methodology's innovation lies in its direct use of finely tuned spectrogram images, bypassing the complex feature extraction processes. This approach achieved R2 (correlation coefficient) values of up to 0.9902 for the digital artery, 0.9898 for the radial artery, and 0.9825 for the brachial artery, coupled with significantly lower Mean Absolute Percentage Errors (MAPE) of approximately 1.61% for the digital, 1.87% for the radial, and 2.08% for the brachial artery. These findings highlight the efficacy of PPG spectrograms, especially from the digital artery, in providing an accurate, user-friendly, and non-invasive method for cf-PWV estimation, thereby enhancing the capabilities of non-invasive cardiovascular diagnostics.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Domain Generalization for Multi-disease Detection in Fundus Photographs.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10781556

Sarah Matta, Mathieu Lamard, Laurent Borderie, Alexandre Le Guilcher, Pascale Massin, Jean-Bernard Rottier, Beatrice Cochener, Gwenole Quellec

{"title":"Domain Generalization for Multi-disease Detection in Fundus Photographs.","authors":"Sarah Matta, Mathieu Lamard, Laurent Borderie, Alexandre Le Guilcher, Pascale Massin, Jean-Bernard Rottier, Beatrice Cochener, Gwenole Quellec","doi":"10.1109/EMBC53108.2024.10781556","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781556","url":null,"abstract":"Domain generalization (DG) is a paradigm ensuring machine learning algorithms predict well on unseen domains. Recent computer vision research in DG highlighted how inconsistencies in datasets, architectures, and model criteria challenge fair comparisons. In the medical domain, the application of DG algorithms assumes an even more challenging task as medical data often exhibit significant variability due to diverse imaging modalities, patient demographics, and disease characteristics. In light of this, DG algorithms need to generalize effectively across different medical settings and patient populations for ensuring robustness and fairness in healthcare applications. In this paper, we evaluate various DG algorithms and strategies for the application of multi-disease detection in fundus photographs. We conducted extensive experiments using four heterogeneous datasets: OPHDIAT (France, diabetic population), OphtaMaine (France, general population), RIADD (India, general population) and ODIR (China, general population). The following diseases were targeted: diabetes, glaucoma, cataract, age-related macular degeneration, hypertension, myopia and other diseases/abnormalities.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of Photoplethysmogram (PPG) Waveform Characteristics Across Various Body Sites Under Normal and Apneic Conditions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10781801

Joe Rahme, Sahera Saleh, Tamara Al-Sadek, Jason Amatoury, Massoud Khraiche

{"title":"Comparative Analysis of Photoplethysmogram (PPG) Waveform Characteristics Across Various Body Sites Under Normal and Apneic Conditions.","authors":"Joe Rahme, Sahera Saleh, Tamara Al-Sadek, Jason Amatoury, Massoud Khraiche","doi":"10.1109/EMBC53108.2024.10781801","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781801","url":null,"abstract":"Detecting sleep apnea through wearable devices poses challenges due to the condition's variability across populations and the inconsistencies in measurements attributed to current wearable technologies. This study aims at comparing photoplethysmogram (PPG) waveform characteristics in healthy subjects, including the change in amplitude, width, and time to peak (Tp) of the signal. PPG signals were recorded at six different body sites (wrist upper, wrist lower, ring finger, thumb, neck, and head) under both simulated normal and apneic conditions. A key objective of this work was to identify optimal LED intensities for detecting these waveform features at each site, providing valuable insights for future development of PPG hardware by pinpointing the most effective intensities. Additionally, the research aims for a better understanding of the variation of the PPG waveform between different body sites.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational analysis of light diffusion and thermal effects during Transcranial Photobiomodulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782579

Alexander R Guillen, Dennis Q Truong, Paula Cristina Faria, Brian Pryor, Luis De Taboada, Abhishek Datta

{"title":"Computational analysis of light diffusion and thermal effects during Transcranial Photobiomodulation.","authors":"Alexander R Guillen, Dennis Q Truong, Paula Cristina Faria, Brian Pryor, Luis De Taboada, Abhishek Datta","doi":"10.1109/EMBC53108.2024.10782579","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782579","url":null,"abstract":"Transcranial Photobiomodulation (tPBM) is a non-invasive procedure where light is applied to the scalp to modulate underlying brain activity. tPBM has recently attracted immense interest as a potential therapeutic option for a range of neurological and neuropsychiatric conditions. The common technological questions related to this modality are extent of light penetration and associated scalp and brain temperature increases. Limited computational efforts to quantify these aspects are restricted to simplified models. We consider here a 3D high-resolution (1 mm) and anatomically realistic model to simulate light propagation and thermal effects. We consider a dose of 100 mW /cm2 and use a single light source targeting the F3 location based on 10-20 EEG. Our simulations reveal that while the induced irradiance distribution largely mimics the shape and extent of the source, there is a blurring effect at the brain. This diffusion is attributed to the scalp, skull, and compounded at the surface of the cerebrospinal fluid. Around 1% of the injected irradiance reaches the gray matter. As expected and aligned with previous efforts, the scalp accounts for the greatest loss (~65%). We observe a nominal 0.38 °C rise in the scalp in regions directly underneath the source. There is negligible temperature rise in the brain. Finally, irradiance reduces to 0.01 mW /cm2 at ~13.5 cm from the scalp surface.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational Analysis of Mechanical Interactions between a Soft Robotic Device and a Skin-Muscle Phantom for Mechanotherapy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782886

Victor Ticllacuri, Renato Mio

{"title":"Computational Analysis of Mechanical Interactions between a Soft Robotic Device and a Skin-Muscle Phantom for Mechanotherapy.","authors":"Victor Ticllacuri, Renato Mio","doi":"10.1109/EMBC53108.2024.10782886","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782886","url":null,"abstract":"Studying the soft robot-tissue mechanical interaction in muscle stimulation devices poses a significant challenge due to the complex behavior of the materials involved. To advance this field, this paper models computationally three types of soft elastomeric actuators designed to perform deep cyclic compression stimuli on human soft tissues for muscle rehabilitation by mechanotherapy. The analysis focuses on the interaction between a phantom representing transversely isotropic muscle and homogeneous skin, with a soft robotic device comprised of a hyperelastic actuator and a rigid support. Results from deformation, stress-strain and surface pressure analysis demonstrate efficient actuation, suggesting deep and focused stimulation on the muscle, while actuators exhibit reliable safety factors and load distribution, implying longer operational life. This lightweight and compact soft robotic device is suitable for integration into a wearable suit for targeted muscle groups stimulation in the lower limbs. Furthermore, this computational approach represents a significant advance in the biomechanical study of soft robot-human tissues interaction, with potential for generalization in similar biomedical device applications. Keywords-Soft Robotics, Mechanotherapy, Transversely Isotropic Muscle, Human-Robot interaction.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a soft-type glove capable of customizing finger rehabilitation exercises considering differences in physique^.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782734

Ritsuki Nishizawa, Tetsuya Hasegawa, Shouhei Shirafuji, Jun Ota, Arito Yozu

{"title":"Development of a soft-type glove capable of customizing finger rehabilitation exercises considering differences in physique.","authors":"Ritsuki Nishizawa, Tetsuya Hasegawa, Shouhei Shirafuji, Jun Ota, Arito Yozu","doi":"10.1109/EMBC53108.2024.10782734","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782734","url":null,"abstract":"When designing a hand rehabilitation device, it is important to account for the differences in physique among patients and tailor the rehabilitation exercises to each patient's needs. This paper presents the prototype of a soft cable-driven glove capable of easily adjusting the glove to fit the individual physique of the patient and customizing finger rehabilitation exercises. Considering the length of the phalanges and the thickness of the finger, the position of fixed parts on the index finger can be easily adjusted. In order to enable various index finger rehabilitation appropriate for the patient, four cable-based cable routing for the index finger was adopted. The kinematic model of the glove was experimentally verified and utilized to plan the rehabilitation exercises. Based on this kinematic model, four representative finger rehabilitation exercises were operated with the developed glove on four different sizes of artificial fingers. The adaptability and adjustability of the glove to four artificial fingers were proved by demonstrating the possibility of assisting with various rehabilitation exercises while driving the three joints of the index finger independently.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of an Electromechanical Biomimetic Prosthesis using 3D Printing: Initial Findings for Interphalangeal and Metacarpophalangeal Joints.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10781836

J Inan Aguilera B, Jorge Aguilar, Fabian Figueroa, Manuel Gutierrez, Britam Gomez

引用次数: 0