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10页

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":"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

A Wearable System for Monitoring Neurological Disorder Events with Multi-Class Classification Model in Daily Life. 基于多类分类模型的可穿戴日常生活神经障碍事件监测系统。

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/EMBC53108.2024.10782047

Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung

{"title":"A Wearable System for Monitoring Neurological Disorder Events with Multi-Class Classification Model in Daily Life.","authors":"Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung","doi":"10.1109/EMBC53108.2024.10782047","DOIUrl":"10.1109/EMBC53108.2024.10782047","url":null,"abstract":"Dysphagia and dysarthria are the prominent sequelae of neurological disorders. Treatment and rehabilitation of these impairments necessitate continuously monitoring symptoms related to swallowing and speaking. However, current medical technologies require large and diverse equipment to record these symptoms, which are predominantly limited to clinical environments. In this study, we propose an innovative wearable system for distinguishing neurological disorder events using a mechano-acoustic (MA) sensor and multi-class ensemble classification model. The MA sensor exhibits a high sensitivity to neck vibration without any interference from ambient sounds. A multi-class classification model was also developed to discern the symptoms from the recorded signals accurately. The proposed classification model is an ensemble neural network trained on waveforms and mel spectrograms. As a result, we achieve a high classification accuracy of 91.94%, surpassing the performance of previous single neural networks.","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":"143559011","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

Biofeedback Training for Balance Ability Improvement: An Analysis of Short-term Effects and Sensory Information Utilization^. 提高平衡能力的生物反馈训练：短期效果和感觉信息利用分析。

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/EMBC53108.2024.10781520

Kohei Kaminishi, Kotaro Debun, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda, Jun Ota

{"title":"Biofeedback Training for Balance Ability Improvement: An Analysis of Short-term Effects and Sensory Information Utilization.","authors":"Kohei Kaminishi, Kotaro Debun, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda, Jun Ota","doi":"10.1109/EMBC53108.2024.10781520","DOIUrl":"10.1109/EMBC53108.2024.10781520","url":null,"abstract":"This study investigates the short-term effects of biofeedback rehabilitation on postural balance performance, addressing a significant gap in existing research that has focused primarily on long-term outcomes. The present study aims to test the following hypothesis: Changes in the way sensory information is used through biofeedback training will lead to changes in postural balance performance in the short term. Experiments were conducted with five young, healthy individuals. Participants underwent biofeedback training sessions involving tasks such as maintaining the center of pressure of the feet within specific targets, and performed quiet standing tasks and standing tasks with both open and closed eyes before and after the training sessions.The results showed suggestive correlations between changes in sway during quiet standing and changes in sway with eyes open and closed before and after the training session, which differed between the training and control groups. This supports the hypothesis and suggests that biofeedback training may indirectly affect postural balance ability by altering the way sensory information is used and the existence of diverse strategies.Clinical Relevance- This leads to more effective biofeedback training designs based on reweighting in the use of sensory information.","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":"143559101","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

Effective diagnosis of sleep disorders using EEG and EOG signals. 利用脑电图和眼电图信号有效诊断睡眠障碍。

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/EMBC53108.2024.10782470

Ritika Jain, Ramakrishnan Angarai Ganesan

{"title":"Effective diagnosis of sleep disorders using EEG and EOG signals.","authors":"Ritika Jain, Ramakrishnan Angarai Ganesan","doi":"10.1109/EMBC53108.2024.10782470","DOIUrl":"10.1109/EMBC53108.2024.10782470","url":null,"abstract":"This work focuses on the diagnosis of various sleep disorders such as insomnia, narcolepsy, periodic leg movement, nocturnal frontal lobe epilepsy, bruxism, REM behavior disorder, and sleep-disordered breathing. We utilize SVM for classifying each of the sleep disorders from healthy controls. The proposed approach is evaluated on the publicly available CAP dataset comprising 108 overnight recordings from healthy controls and patients with sleep disorders. A single feature called gridded distribution entropy derived from Poincaré plots of EEG signal provides 100% accuracy in distinguishing healthy controls from each pathology, except insomnia and PLM. With the EOG channel, we are able to classify these two groups as well with 100% accuracy, demonstrating the effectiveness of EOG in disambiguating insomnia and PLM from controls.Clinical relevance- Diagnosis of sleep disorders is important to facilitate appropriate treatment. It is challenging due to the diverse nature and inter-subject variation of the physiological symptoms. Automated sleep disorder detection can improve cost efficiency and reduce variability.","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":"143559409","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

Hardware Accelerator for a Power Efficient Single-lead Dry-electrode ECG Wearable Design. 高效功率单导联干电极ECG可穿戴设计的硬件加速器。

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/EMBC53108.2024.10782919

Abdelrahman Abdou, Sridhar Krishnan

{"title":"Hardware Accelerator for a Power Efficient Single-lead Dry-electrode ECG Wearable Design.","authors":"Abdelrahman Abdou, Sridhar Krishnan","doi":"10.1109/EMBC53108.2024.10782919","DOIUrl":"10.1109/EMBC53108.2024.10782919","url":null,"abstract":"Single-lead electrocardiographic (ECG) monitoring wearables are becoming candidate technologies for long-term remote monitoring applications. Current wearable disadvantages include high power consumption from computational complex pre-processing leading to low battery life. A hardware (HW) architecture for dry electrode-based ECG signal processing to increase wearable longevity is proposed. The technology is based off an analog-front end (AFE) chip combined with a field programmable gated arrays (FPGA)-based optimized cubic Hermite interpolation approach for signal processing. This system is deployed on a FPGA board featuring a single-core processor. The architecture uses 0.01 W, utilizes 0.67% and 0.44% of available look-up-tables (LUTs) and flip-flops (FFs) components on FPGA and performed real-time signal processing. Signal quality indexes (SQIs) and signal to noise ratios (SNR) information are computed where the HW processed signals showed an average SNR of 16.4 dB. ECG R-peaks are visually identified, making this architecture suitable for heart rate (HR), and heart rate variability (HRV) estimations in long-term dry-electrode single-lead ECG monitoring 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":"143559594","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

MedDietAgent: An AI-based Mobile App for Harmonizing Individuals' Dietary Choices with the Mediterranean Diet Pattern. MedDietAgent：一个基于人工智能的移动应用程序，用于协调个人的饮食选择与地中海饮食模式。

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/EMBC53108.2024.10781576

Fotios S Konstantakopoulos, Michail Sfakianos, Eleni I Georga, Konstantinos I Mavrokotas, Daphne N Katsarou, Konstantinos Chalatsis, Charalambos Zapadiotis, Anastasia Panousi, Sifis Plimakis, Sofia Eleftheriou, Anastasia Kanellou, Dimitrios I Fotiadis

{"title":"MedDietAgent: An AI-based Mobile App for Harmonizing Individuals' Dietary Choices with the Mediterranean Diet Pattern.","authors":"Fotios S Konstantakopoulos, Michail Sfakianos, Eleni I Georga, Konstantinos I Mavrokotas, Daphne N Katsarou, Konstantinos Chalatsis, Charalambos Zapadiotis, Anastasia Panousi, Sifis Plimakis, Sofia Eleftheriou, Anastasia Kanellou, Dimitrios I Fotiadis","doi":"10.1109/EMBC53108.2024.10781576","DOIUrl":"10.1109/EMBC53108.2024.10781576","url":null,"abstract":"Recently, there has been an increasing interest in applying technological advances to offer specific dietary recommendations in the field of nutrition and health. Dietary recommendation systems are advanced tools designed to assist individuals in making well-informed and health-conscious decisions on their food choices, taking into account their personal needs, preferences, and health targets or habits. In this study, we present an AI-based mobile app for harmonizing individuals' dietary choices with the pattern of the Mediterranean diet. A combination of computer vision, natural language processing, machine learning, and reinforcement techniques are used to record the nutritional information via images or speech and to generate dynamic recommendations tailored to the user's performance across key nutritional areas, encompassing calories, combined fats, proteins, carbohydrates, sugars, dietary fibers, sodium intake, fruits, vegetables, and dairy products. The image-based dietary assessment subsystem achieves a mean absolute percentage error of 3.73%, while the reinforcement learning subsystem achieves a 96% average reward. Then, a well-designed approach was taken to develop the MedDietAgent mobile app, using cutting-edge technologies and applying a simplistic approach. One of the key aspects of MedDietAgent is its ability to offer dynamic recommendations by monitoring the user's environment.","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":"143559722","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

Reproduction of central-brachial-radial arterial blood pressure wave propagation using a cardiovascular hardware simulator. 用心血管硬件模拟器再现中央-肱-桡动脉血压波的传播。

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/EMBC53108.2024.10782911

Jae-Hak Jeong, Bomi Lee, Junki Hong, Changhee Min, Adelle Ria Persad, Yong-Hwa Park

{"title":"Reproduction of central-brachial-radial arterial blood pressure wave propagation using a cardiovascular hardware simulator.","authors":"Jae-Hak Jeong, Bomi Lee, Junki Hong, Changhee Min, Adelle Ria Persad, Yong-Hwa Park","doi":"10.1109/EMBC53108.2024.10782911","DOIUrl":"10.1109/EMBC53108.2024.10782911","url":null,"abstract":"This study reproduced changes according to the central-brachial-radial blood pressure wave propagation using a cardiovascular hardware simulator. Blood pressure is a key indicator of cardiovascular health, and its importance has recently emerged, and research into the correlation between the two is in progress. This requires a large amount of clinical data, but the amount and distribution are limited. The hardware simulator in this study mimics the structure and properties of the human cardiovascular system. This reproduces the pulse wave velocity and the generation of a blood pressure wave. The reproduced central-brachial-radial blood pressure waves are similar to those of humans in magnitude, waveform, and changes due to propagation. Blood pressure waves propagate from the central aorta to the radial artery, showing waveform changes due to systolic amplification and reduced overlap area. Reproducing these blood pressure waveforms can compensate for the lack of quantity and quality in clinical data. In the future, it can be expanded to a testbed for health sensors and research on the origin of bio-signals through the addition of upper arm and wrist phantoms.","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":"143559810","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

Spatiotemporal response analysis to simple and complex stimuli in patients with unilateral spatial neglect: 3D verification using immersive virtual reality. 单侧空间忽视患者对简单和复杂刺激的时空反应分析：使用沉浸式虚拟现实的3D验证。

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/EMBC53108.2024.10782125

Akira Koshino, Tomoki Akatsuka, Kazuhiro Yasuda, Saki Takazawa, Shuntaro Kawaguchi, Hiroyasu Iwata

{"title":"Spatiotemporal response analysis to simple and complex stimuli in patients with unilateral spatial neglect: 3D verification using immersive virtual reality.","authors":"Akira Koshino, Tomoki Akatsuka, Kazuhiro Yasuda, Saki Takazawa, Shuntaro Kawaguchi, Hiroyasu Iwata","doi":"10.1109/EMBC53108.2024.10782125","DOIUrl":"10.1109/EMBC53108.2024.10782125","url":null,"abstract":"Unilateral spatial neglect (USN) occurs as a sequela of stroke. This study proposes a neglect-identification system to evaluate the ability of patients with USN to process higher-order information. The measurement is done by varying the complexity of stimuli presented in an immersive virtual-reality space. Clinical study was conducted on three patients with USN using the new system, and the results showed that the USN patients were able to recognize simple presented objects, but neglected complex presented objects on the neglected side. The difference in reaction time between complex and simple presented objects was compared, and it was found that there was a delay in the neglected side, assumed to be a delay in higher-order information processing. The time lapse from stimulus presentation to recognition is divided into search and recognition time, and the cause of the degradation in higher-order information processing is clarified based on eye movement during recognition time. Furthermore, quantifying the ability to process high-order information using the proposed higher-order information-processing (HoIP) index shows that this ability deteriorates spatially and in the neglected area.Clinical Relevance- The system developed in this study should provide efficient rehabilitation for each patient because it can evaluate the patient's ability to process higher-order information in a three-dimensional space.","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":"143559959","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 Camera-PPG Imaging be Used to Measure Perfusion Index? 相机- ppg成像可以用于测量灌注指数吗？

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/EMBC53108.2024.10781667

Zhiyuan Xu, Yukai Huang, Ningbo Zhao, Jia Huang, Hongzhou Lu, Wenjin Wang

引用次数: 0

Exploring Novel Practical Approach to Post-Stroke Upper-Limb Neurorehabilitation Based on Complex Motor Imagery Tasks. 探索基于复杂运动意象任务的中风后上肢神经康复新方法。

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/EMBC53108.2024.10782286

Cristian D Guerrero-Mendez, H Rivera-Flor, Ana C Villa-Parra, Teodiano F Bastos-Filho

{"title":"Exploring Novel Practical Approach to Post-Stroke Upper-Limb Neurorehabilitation Based on Complex Motor Imagery Tasks.","authors":"Cristian D Guerrero-Mendez, H Rivera-Flor, Ana C Villa-Parra, Teodiano F Bastos-Filho","doi":"10.1109/EMBC53108.2024.10782286","DOIUrl":"10.1109/EMBC53108.2024.10782286","url":null,"abstract":"Motor imagery (MI) is one of the main strategies for upper-limb movement rehabilitation in post-stroke individuals. Promising results of MI applied for rehabilitation have been reported in the literature. However, there is currently a need related to the recovery of movements aimed to Activities of Daily Living (ADLs) for individuals with severe motor impairments. Therefore, this study presents the evaluation of a novel MI protocol for post-stroke upper-limb neurorehabilitation using complex tasks related to the manipulation of a drinking cup. The protocol is based on the Action Observation (AO), which was used under a first-person 2D virtual reality. Subjects had to simultaneously imagine the movements presented in AO for the manipulation of a cup varying in four positions. EEG signals were recorded from 16 channels located mainly in the motor cortex of the brain. Two computational strategies based on Riemannian Geometry (RG) with and without Feature Selection (FS) using Pair-Wise Feature Proximity (PWFP) were implemented for the binary identification of each complex MI-Task vs. MI-Rest. This approach was evaluated on 30 healthy individuals and 2 post-stroke individuals. Using Linear Discriminant Analysis (LDA) as a classifier, the results report a maximum accuracy of 0.78 for both healthy and post-stroke individuals, and a minimum FPR of 0.21 and 0.13 for healthy and post-stroke individuals, respectively. This highlights the potential use of this type of paradigms for the implementation of more robust BCI systems that allow the rehabilitation of movements close to ADLs. Therefore, complex MI tasks may be a suitable variant for rehabilitation in post-stroke individuals.","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":"143559410","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