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9页

A federated stroke segmentation to impact limited data institutions.

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/EMBC53108.2024.10781772

Edgar Rangel, Santiago Gomez, Daniel Mantilla, Paul Camacho, Fabio Martinez

{"title":"A federated stroke segmentation to impact limited data institutions.","authors":"Edgar Rangel, Santiago Gomez, Daniel Mantilla, Paul Camacho, Fabio Martinez","doi":"10.1109/EMBC53108.2024.10781772","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781772","url":null,"abstract":"Stroke, predominantly caused by blood vessel occlusion, is the second leading cause of death worldwide. DWI sequences facilitate characterization of brain-affected tissue, enabling lesion volume estimation, guiding treatment protocols, and aiding in prognosis approximation. However, radiological interpretations rely on neuroradiologist expertise, introducing subjectivity. Currently, computational solutions have allowed to support lesion characterization, but such efforts are dedicated to learn patterns from only one institution, lacking the variability to generalize geometrical lesion shape models. Moreover, some institutions lack training samples in annotated batches, which makes it difficult to achieve personalized solutions. This work introduces the first federated approach to stroke segmentation, leveraging data across institutions to impact institutions without data requirements. Models were trained on diverse institutional data and combined to obtain a robust solution for those without annotated datasets. Also, from such federated scheme was possible to measure the generalization capability of state-of-the-art architectures, evidencing new challenges in stroke care support.Clinical relevance- The validation of federated collaborative solutions to support stroke segmentations to transfer in clinical scenarios.","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":"143558912","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

EMBC 2024 Copyright Page.

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/EMBC53108.2024.10782227

引用次数: 0

Estimating Upper-extremity Function with Raw Kinematic Trajectory Data after Stroke using End-to-end Machine Learning 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/EMBC53108.2024.10781580

Wanyi Qing, Changjie Pan, Jianing Zhang, Chun-Yan Chau, Chun-Hin Mui, Xiaoling Hu

{"title":"Estimating Upper-extremity Function with Raw Kinematic Trajectory Data after Stroke using End-to-end Machine Learning Approach.","authors":"Wanyi Qing, Changjie Pan, Jianing Zhang, Chun-Yan Chau, Chun-Hin Mui, Xiaoling Hu","doi":"10.1109/EMBC53108.2024.10781580","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781580","url":null,"abstract":"Although there are some studies on the automatic evaluation of impairment levels after stroke using machine learning (ML) models, few have delved into the predictive capabilities of raw motion data. In this study, we captured kinematic trajectories of the trunk and affected upper limb from 21 patients with chronic stroke when performing three reaching tasks. Employing ML models, we integrated the recorded trajectories to predict scores of the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE) of stroke patients. A transformer-based model achieved better metrics than Residual Neural Network (ResNet) and support vector regression (SVR). The trajectory successfully predicted FMA-UE scores, with the forward task (R2=0.905±0.028) outperforming the vertical task (R2=0.875±0.019) and horizontal task (R2=0.868±0.031). This pilot study demonstrated the capability of original trajectory data in tracking personal motor function after stroke and extended possibility of application in telerehabilitation.","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":"143559492","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

Facial Remote Photoplethysmography for Continuous Heart Rate Monitoring during Prolonged Cold Liquid Bolus Administration.

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/EMBC53108.2024.10781709

Mahdi Momeni, Sophie Wuthe, Michaela Bitten Molmer, Emilie Lobner Svendsen, Mikkel Brabrand, Peter Biesenbach, Daniel Teichmann

{"title":"Facial Remote Photoplethysmography for Continuous Heart Rate Monitoring during Prolonged Cold Liquid Bolus Administration.","authors":"Mahdi Momeni, Sophie Wuthe, Michaela Bitten Molmer, Emilie Lobner Svendsen, Mikkel Brabrand, Peter Biesenbach, Daniel Teichmann","doi":"10.1109/EMBC53108.2024.10781709","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781709","url":null,"abstract":"This study investigates non-contact heart rate (HR) monitoring through camera-based remote PPG during intravenous fluid bolus (FB) therapy. The experiment, at Odense University Hospital, Denmark, involved 4 volunteers and over 350 minutes of filming. We implemented a MATLAB-based HR extraction tool chain. The proposed method includes a two-stage process for dynamically determining regions of interest (ROIs), incorporating deep learning for facial landmarks detection and a subsequential consideration of subjects' facial dimensions. HR estimation uses chrominance-based (CHROM) and plane-orthogonal-to-skin (POS) PPG signal extraction methods, chosen for robustness against motion artifacts. Deviating from usual advice for other methods, omitting preprocessing minimizes signal processing still yielding a low error rate. The system achieved a mean error of fewer than 2 beats per minute (bpm), underscoring iPPG's alignment with ground truth. The results exemplify the feasibility of remote PPG monitoring in critical care and emergency settings.","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":"143559522","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

Gadolinium Solutions as Post-Mortem Magnetic Resonance Imaging Fiducial Markers and Intravascular Contrast Agents.

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/EMBC53108.2024.10782569

Noa B Nuzov, Andrew R Crofton, Michael Markley, Chris A Flask, Ari M Blitz, Nicole A Pelot, Andrew J Shoffstall

{"title":"Gadolinium Solutions as Post-Mortem Magnetic Resonance Imaging Fiducial Markers and Intravascular Contrast Agents.","authors":"Noa B Nuzov, Andrew R Crofton, Michael Markley, Chris A Flask, Ari M Blitz, Nicole A Pelot, Andrew J Shoffstall","doi":"10.1109/EMBC53108.2024.10782569","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782569","url":null,"abstract":"Post-mortem human cadaveric imaging has numerous uses across medical research, education, and forensics. Magnetic resonance imaging (MRI) can illuminate gross anatomy and pathology without the need for dissection. However, post-mortem tissues suffer from relatively poor signal contrast and increased vascular porosity compared to living tissues. While clinical contrast agents enhance antemortem imaging, few have been optimized for post-mortem magnetic resonance (PMMR) imaging. Here, we systematically evaluated several simple and effective solutions as post-mortem fiducial markers and intravascular injection contrast agents. They demonstrated gadolinium concentration-dependent hyperintensity in several MRI sequences applied to gel phantoms and cadavers. The addition of gelatin increased hyperintensity and prevented vascular leakage. Ultimately, fiducial markers and post-mortem intravascular contrast provide validation for newly seen anatomy on high-resolution PMMR which can inform clinical practice.","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":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559533","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

FedAssist: Federated Learning in AI-Powered Prosthetics for Sustainable and Collaborative Learning.

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/EMBC53108.2024.10781961

Hunmin Lee, Ming Jiang, Qi Zhao

引用次数: 0

A Longitudinal Study on Fingerprint Recognition in Infants, Toddlers, and Children.

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/EMBC53108.2024.10781797

Mst Rumana A Sumi, Masudul H Imtiaz, Stephanie Schuckers

{"title":"A Longitudinal Study on Fingerprint Recognition in Infants, Toddlers, and Children.","authors":"Mst Rumana A Sumi, Masudul H Imtiaz, Stephanie Schuckers","doi":"10.1109/EMBC53108.2024.10781797","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781797","url":null,"abstract":"Millions of children in developing countries face preventable deaths due to inadequate vaccination and malnutrition, in part due to insufficient monitoring and the absence of official identification. A reliable fingerprint recognition system can be a practical solution to address this issue. However, the scarcity of longitudinal fingerprint datasets for young children leads to unresolved questions regarding the earliest age for fingerprint biometric use, the frequency of enrollment required for reliable recognition, and the methods to accommodate age-related changes. A few recent studies introduced high-resolution fingerprint scanners and showed promising recognition performance for young children. However, these studies were conducted on a small dataset over a shorter period with limited diversity; further evaluation of their finding is essential. This study assessed the effectiveness of a high-resolution contactless scanner in a controlled, diverse longitudinal dataset of children (0-15 years). Our results indicate that infants can be enrolled at five days old and reliably recognized after two months with a TAR= 100% @ FAR = 0.1%, and children aged 4-15 years can be recognized after one year with a TAR= 98.72% @ FAR = 0.1%.","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":"143558930","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

A Multi-Contrast Translation-Based Registration Approach for Distortion Correction in DTI.

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/EMBC53108.2024.10781931

Ya Cui, Siyu Yuan, Zhenkui Wang, Li Tong, Jie Luo

{"title":"A Multi-Contrast Translation-Based Registration Approach for Distortion Correction in DTI.","authors":"Ya Cui, Siyu Yuan, Zhenkui Wang, Li Tong, Jie Luo","doi":"10.1109/EMBC53108.2024.10781931","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781931","url":null,"abstract":"Correcting eddy currents and motion artifacts is crucial in Diffusion Tensor Imaging (DTI) preprocessing, traditionally managed through affine registration to an undistorted reference. However, the contrast variation across diffusion-weighted images complicates direct registration. To surmount this challenge, our study introduces a translation-based registration approach, utilizing 312 DTI datasets from the Human Connectome Project (HCP), including both b=0 and b=2000 volumes. We employed an advanced 3D Self-Attention Conditional Generative Adversarial Network (SC-GAN) for the synthesis of imaging data. This method allowed for the generation of synthesized b=2000 volumes, enhancing the distortion-correction process by facilitating efficient registration of distorted images. The results showed the translation network's effectiveness in synthesizing b=2000 volumes from real data, with these volumes serving as stable registration targets, particularly in limited directional data scenarios. The approach also effectively corrected eddy current and motion artifacts, aligning FA and FOD maps with gold standard results from FSL's eddy method, confirming the translation-based registration's efficacy in addressing cross-contrast registration challenges in DTI preprocessing.","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":"143558936","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

A Multimodal Myanmar Emotion Dataset for Emotion Recognition.

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/EMBC53108.2024.10782660

Khin Pa Pa Aung, Hao-Long Yin, Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu

{"title":"A Multimodal Myanmar Emotion Dataset for Emotion Recognition.","authors":"Khin Pa Pa Aung, Hao-Long Yin, Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu","doi":"10.1109/EMBC53108.2024.10782660","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782660","url":null,"abstract":"Effective emotion recognition is vital for human interaction and has an impact on several fields such as psychology, social sciences, human-computer interaction, and emotional artificial intelligence. This study centers on the innovative contribution of a novel Myanmar emotion dataset to enhance emotion recognition technology in diverse cultural contexts. Our unique dataset is derived from a carefully designed emotion elicitation paradigm, using 15 video clips per session for three emotions (positive, neutral, and negative), with five clips per emotion. We collected electroencephalogram (EEG) signals and eye-tracking data from 20 subjects, and each subject took three sessions spaced over several days. Notably, all video clips used in experiments have been well rated by Myanmar citizens through the Self-Assessment Manikin scale. We validated the proposed dataset's uniqueness using three baseline unimodal classification methods, alongside two traditional multimodal approaches and a deep multimodal approach (DCCA-AM) under subject-dependent and subject-independent settings. Unimodal classification achieved accuracies ranging from 62.57% to 77.05%, while multimodal fusion techniques achieved accuracies ranging from 75.43% to 87.91%. These results underscore the effectiveness of the models, and highlighting the value of our unique dataset for cross-cultural applications.","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":"143558938","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

A Novel Direct Puncture Cannulation Blood Pump Support System: in Vivo Experimental Proof of Concept for a Therapeutic Approach with Cardiac Arrest.

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/EMBC53108.2024.10782583

Yasuyuki Shiraishi, Francis Chikweto, Hanako Suzuki, Toshihiko Kijima, Aoi Fukaya, Hideyuki Horie, Kazushi Ishiyama, Tomoyuki Yambe

{"title":"A Novel Direct Puncture Cannulation Blood Pump Support System: in Vivo Experimental Proof of Concept for a Therapeutic Approach with Cardiac Arrest.","authors":"Yasuyuki Shiraishi, Francis Chikweto, Hanako Suzuki, Toshihiko Kijima, Aoi Fukaya, Hideyuki Horie, Kazushi Ishiyama, Tomoyuki Yambe","doi":"10.1109/EMBC53108.2024.10782583","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782583","url":null,"abstract":"The rate of out-of-hospital cardiac arrest is increasing according to the changes in the proportion of ages in super-aged society. We developed a novel transcutaneous cannulation-type mechanical circulatory system for an alternative therapeutic approach to cardiac arrest using a small centrifugal blood pump. We proposed a transcutaneous mechanical circulatory support capable of rapid installation and quick start of circulatory support for recovery after cardiac arrest by left ventricular direct puncture using the Seldinger technique. The cannula consisted of three components as follows: a) a double-layered cylindrical blood pump housing, b) a centrifugal blood pump impeller primarily installed inside of the cannula, and c) an insertable actuator with magnet coupling. The special feature of the cannula inflow was a backflow resistive unit for adjusting backflow in the process of ventricular puncture. In this study, we performed an in vivo experiment to install the direct cannulation centrifugal blood pump on a goat after cardiac arrest induced by ventricular fibrillation as a proof of concept. As a primary result, the mechanical circulatory support could start in a short period by around one minute installation from the start of cannulation, which could be effective for the recovery after cardiac arrest under the assisted flow of 1.6 L/min at 13,000 rpm of the cannulation pump. Consequently, the novel approach may be useful for the prompt start of mechanical circulatory support.","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":"143558954","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