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2页

Wearable-oriented Support for Interpretation of Behavioural Effects on Sleep. 以可穿戴设备为导向，支持解释行为对睡眠的影响。

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/EMBC53108.2024.10781768

Clauirton A Siebra, Jonysberg Quintino, Andre L M Santos, Fabio Q B Da Silva

{"title":"Wearable-oriented Support for Interpretation of Behavioural Effects on Sleep.","authors":"Clauirton A Siebra, Jonysberg Quintino, Andre L M Santos, Fabio Q B Da Silva","doi":"10.1109/EMBC53108.2024.10781768","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781768","url":null,"abstract":"Daily behaviour directly impacts health in the short and long term. Thus, embracing and maintaining healthy behaviours work like a preventive action, avoiding or delaying the emergence of chronic diseases. The process of changing daily routines toward healthy behaviours starts by understanding the current problems. Wearable and deep learning (DL) technologies represent important resources for supporting such an understanding. This paper discusses a strategy to interpret multifeatured longitudinal wearable data to analyse possible causes of health issues. We use the sleep domain as a case example where the aim is to clarify the reasons for poor sleep quality. A dataset with wearable data of 1874 days was used to create an explainable DL model, which indicates the main day-before-night sleep behaviours that may cause poor sleep quality. We use a comparative analysis with a hormone-based framework for sleep control as the form of validation. The results show that the explanations corroborate the results of the literature. However, other datasets with more features should be explored to verify the combination of these features and their effects on the health aspect under study.","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":"143560175","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

Cellular-Resolution Image-Guided Localization in the Primate Brain. 灵长类动物大脑的细胞分辨率图像引导定位。

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/EMBC53108.2024.10782857

Jacob Stefanowicz, John S Choi, Katie Wingel, Jarl Haggerty, Adam S Charles, Bijan Pesaran

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. 一种新型直接穿刺插管血泵支持系统：心脏骤停治疗方法的体内实验证明。

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

Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation. Polyp- ddpm：基于扩散的语义Polyp合成增强分割。

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/EMBC53108.2024.10782077

Zolnamar Dorjsembe, Hsing-Kuo Pao, Furen Xiao

{"title":"Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation.","authors":"Zolnamar Dorjsembe, Hsing-Kuo Pao, Furen Xiao","doi":"10.1109/EMBC53108.2024.10782077","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782077","url":null,"abstract":"This study introduces Polyp-DDPM, a diffusion-based method for generating realistic images of polyps conditioned on masks, aimed at enhancing the segmentation of gastrointestinal (GI) tract polyps. Our approach addresses the challenges of data limitations, high annotation costs, and privacy concerns associated with medical images. By conditioning the diffusion model on segmentation masks-binary masks that represent abnormal areas-Polyp-DDPM outperforms state-of-the-art methods in terms of image quality (achieving a Fréchet Inception Distance (FID) score of 78.47, compared to scores above 95.82) and segmentation performance (achieving an Intersection over Union (IoU) of 0.7156, versus less than 0.6828 for synthetic images from baseline models and 0.7067 for real data). Our method generates a high-quality, diverse synthetic dataset for training, thereby enhancing polyp segmentation models to be comparable with real images and offering greater data augmentation capabilities to improve segmentation models. The source code and pretrained weights for Polyp-DDPM are made publicly available at https://github.com/mobaidoctor/polyp-ddpm.","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":"143559970","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

Can heart rate variability demonstrate progression of mindfulness through two-week repeated practice? 通过两周的重复练习，心率变异性能否证明正念的进步？

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/EMBC53108.2024.10782128

Yifei Xu, Yanping Wei, Wanlin Chen, Xuanyi Wang, Jing Zheng, Shulin Chen, Hang Chen

{"title":"Can heart rate variability demonstrate progression of mindfulness through two-week repeated practice?","authors":"Yifei Xu, Yanping Wei, Wanlin Chen, Xuanyi Wang, Jing Zheng, Shulin Chen, Hang Chen","doi":"10.1109/EMBC53108.2024.10782128","DOIUrl":"10.1109/EMBC53108.2024.10782128","url":null,"abstract":"Mindfulness could benefit on mental and physical health. Through repeated practice, progression of mindfulness could be found. Except for self-report questionnaires, heart rate variability (HRV) is a potential biomarker to demonstrate the effects of mindfulness. However, few studies focus on the changes in HRV which may vary through repeated practice. This study aims to explore whether HRV could demonstrate progression of mindfulness through repeated practice. 20 experienced practitioners and 26 novices were enrolled to practice two-week mindfulness and completed the Five Facet Mindfulness Questionnaire pre and post the training. ECG signals were collected by holter monitors, covering baseline to training and 9 HRV metrics were extracted. The results indicate that the experienced group showed significantly increased parasympathetic activity during mindfulness training and the effects were stable through repeated practice, while the novice group showed high cognitive load, with inconspicuous but probably progressive effects. The findings indicate that HRV could demonstrate progression of mindfulness through repeated practice, suggesting the possibility of assessing mindfulness based on HRV.","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":"143544646","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

Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images. CT冠状动脉造影图像中冠状动脉的分层自动标记。

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/EMBC53108.2024.10782317

Jiangyun Li, Zhongkang Lu, Shuang Leng, Xiaohong Wang, Lohendran Baskaran, Min Sen Yew, Mark Chan, Lynette Ls Teo, Kee Yuan Ngiam, Hwee Kuan Lee, Liang Zhong, Zhiping Lin, Weimin Huang

{"title":"Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images.","authors":"Jiangyun Li, Zhongkang Lu, Shuang Leng, Xiaohong Wang, Lohendran Baskaran, Min Sen Yew, Mark Chan, Lynette Ls Teo, Kee Yuan Ngiam, Hwee Kuan Lee, Liang Zhong, Zhiping Lin, Weimin Huang","doi":"10.1109/EMBC53108.2024.10782317","DOIUrl":"10.1109/EMBC53108.2024.10782317","url":null,"abstract":"The auto-labeling of coronary artery segments plays an important role in the diagnosis of cardiovascular diseases. Due to the high degree of complexity and diversity in coronary artery structures, it is still a very challenging task after many years of exploration and study. In this paper, we propose a hierarchical scheme based on PointNet++ models and new topological structural features for automatic labeling of coronary artery segments. The inputs are 3D coronary artery centerline points extracted from CTCA images, and the outputs are the correspondent label indexes. The auto-labeling scheme include two stages: first stage is to identify the three main branches, LAD(LM), LCX and RCA. After that, utilizing the topological connectivity relationship with the three main branches, the indexes of sub-branches are identified in the second stage. We evaluated our method on a private clinical dataset. Experimental results show that the proposed method has achieved a satisfactory accuracy for clinical use.","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":"143544657","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

High-Density Electromyography Biomarkers for Detecting and Monitoring of Spastic Muscles During Passive Stretch. 高密度肌电生物标记检测和监测痉挛肌肉被动拉伸。

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/EMBC53108.2024.10781738

Nhi Nguyen, Michael Houston, Yang Liu, Yen-Ting Chen, Sheng Li, Yingchun Zhang

{"title":"High-Density Electromyography Biomarkers for Detecting and Monitoring of Spastic Muscles During Passive Stretch.","authors":"Nhi Nguyen, Michael Houston, Yang Liu, Yen-Ting Chen, Sheng Li, Yingchun Zhang","doi":"10.1109/EMBC53108.2024.10781738","DOIUrl":"10.1109/EMBC53108.2024.10781738","url":null,"abstract":"Spasticity is one of the most common symptoms that stroke patients develop after the incident. It not only leads to impaired motor control and pain but also lowers the quality of life for stroke patients. Botulinum toxin (BoNT) injection has been used as a first-line treatment for spasticity, which helps to reduce muscle tone. While the Modified Ashworth Scale (MAS) is the current clinical gold standard in evaluating spasticity, it can be affected by low inter-rater reliability. This study aims to evaluate the efficacy of high-density surface electromyography (HD-sEMG) in the passive stretch reflex pre- and post-BoNT injection as a biomarker for spasticity detection and monitoring. Ten stroke participants were recruited in this study, and the root mean squared (RMS) envelope signal and the slope between fast passive extension (FPE) and slow passive extension (SPE) were calculated. The results show that all participants have Peak RMS Envelope and Slope features lower Post-BoNT injection compared to Pre-BoNT injection (SPE: p=0.03938; FPE: p=0.00119; Slope: p=0.00143 while only five out of ten participants have their MAS Score reduce after BoNT injection (p=0.02386). These results suggest that EMG-derived features from spastic muscles may be an appropriate and quantitative alternative to the MAS score as well as a quantitative metric for detecting spasticity.","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":"143544661","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 Resistance-Free Sit-To-Stand Rehabilitative System Incorporated with Multi-Sensory Feedback. 结合多感官反馈的无阻力坐立康复系统。

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/EMBC53108.2024.10782303

Nitheezkant R, Madhav Rao

{"title":"A Resistance-Free Sit-To-Stand Rehabilitative System Incorporated with Multi-Sensory Feedback.","authors":"Nitheezkant R, Madhav Rao","doi":"10.1109/EMBC53108.2024.10782303","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782303","url":null,"abstract":"Robotic rehabilitative systems have been an active area of research for all movements, including Sit to Stand (STS). STS is an important movement for performing various activities of daily living. Rehabilitation of the STS movement is one of the most challenging tasks for patients and physiotherapists alike. The existing rehabilitative systems constrain the patient to move with the system, making it difficult for the patient to eventually perform the movement independently without facing resistance from the system. This paper proposes the design of an STS rehabilitation system that assists subjects only in the parts of the motion that they fail to perform independently. The assistance is provided in a two-phase process and allows subject to attempt different levels of difficulty dynamically without having to select a target difficulty level before the start of the therapy session. The individual under test also receives real-time feedback on the movement from a multi-sensory feedback system. Post the movement, a score is generated from the system, allowing both the subject and physiotherapist to track the long-term progress of the individual under treatment.","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":"143557727","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

Reconstruction of Continuous Hand Grasp Movement from EEG Using Deep Learning. 基于深度学习的连续手抓动作脑电图重构。

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/EMBC53108.2024.10781850

Yuting Tang, Neethu Robinson, Xi Fu, Kavitha P Thomas, Aung Aung Phyo Wai, Cuntai Guan

{"title":"Reconstruction of Continuous Hand Grasp Movement from EEG Using Deep Learning.","authors":"Yuting Tang, Neethu Robinson, Xi Fu, Kavitha P Thomas, Aung Aung Phyo Wai, Cuntai Guan","doi":"10.1109/EMBC53108.2024.10781850","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781850","url":null,"abstract":"Brain-Computer Interface (BCI) is a promising neu-rotechnology offering non-muscular control of external devices, such as neuroprostheses and robotic exoskeletons. A new yet under-explored BCI control paradigm is Motion Trajectory Prediction (MTP). While MTP provides continuous control signals suitable for high-precision tasks, its feasibility and applications are challenged by the low signal-to-noise ratio, especially in noninvasive settings. Previous research has predominantly focused on kinematic reconstruction of upper (e.g., arm reaching) and lower limbs (e.g., gait). However, finger movements have received much less attention, despite their crucial role in daily activities. To address this gap, our study explores the potential of noninvasive Electroencephalography (EEG) for reconstructing finger movements, specifically during hand grasping actions. A new experimental paradigm to collect multichannel EEG data from 20 healthy subjects, while performing full, natural hand opening and closing movements, was designed. Employing state-of-the-art deep learning algorithms, continuous decoding models were constructed for eight key finger joints. The Convolutional Neural Network with Attention approach achieved an average decoding performance of r=0.63. Furthermore, a post-hoc metric was proposed for hand grasp cycle detection, and 83.5% of hand grasps were successfully detected from the reconstructed motion signals, which can potentially serve as a new BCI command. Explainable AI algorithm was also applied to analyze the topographical relevance of trained features. Our findings demonstrate the feasibility of using EEG to reconstruct hand joint movements and highlight the potential of MTP-BCI in control and rehabilitation 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":"143558761","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

Automatic Pain Detection Algorithm for Patients with Cancer Pain Using Wristwatch Wearable Devices. 利用腕式可穿戴设备为癌症疼痛患者提供自动疼痛检测算法

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/EMBC53108.2024.10781536

Hideyuki Hirayama, Shiori Yoshida, Konosuke Sasaki, Emi Yuda, Kento Masukawa, Mamiko Sato, Tomoo Ikari, Akira Inoue, Yoshihide Kawasaki, Mitsunori Miyashita

{"title":"Automatic Pain Detection Algorithm for Patients with Cancer Pain Using Wristwatch Wearable Devices.","authors":"Hideyuki Hirayama, Shiori Yoshida, Konosuke Sasaki, Emi Yuda, Kento Masukawa, Mamiko Sato, Tomoo Ikari, Akira Inoue, Yoshihide Kawasaki, Mitsunori Miyashita","doi":"10.1109/EMBC53108.2024.10781536","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781536","url":null,"abstract":"Pain assessment becomes challenging for patients unable to self-report, given the subjective nature of pain. This study introduces an automatic pain detection model utilizing biological signals from wristwatch wearables and time series data from patients with cancer experiencing pain. Biological signals and pain data were obtained from 10 patients with cancer pain for 7 days during their hospitalization. A total of 73,154 minutes of data and 407 pain reports were obtained. We developed automatic classifiers to detect moderate or severe pain and pain above the personalized pain goal by several machine learning algorithms using per-patient and mixed data sets. The best-performing algorithm achieved an F1 score of 0.87, with enhanced performance using the personalized pain goal as the cutoff. While the generalized model requires improvement, the study demonstrates the feasibility of automatic pain detection using extended real-world patient data.","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":"143558854","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