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3页

Automated Acoustic Analysis in Parkinson's Disease Using a Smartphone^.

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/EMBC53108.2024.10782673

Gabriela T Acevedo T, Marc C Pappas, Jackson G Wolfe, Joshua Wong, Adolfo Ramirez-Zamora, Pamela R Zeilman, Diego L Guarin

{"title":"Automated Acoustic Analysis in Parkinson's Disease Using a Smartphone.","authors":"Gabriela T Acevedo T, Marc C Pappas, Jackson G Wolfe, Joshua Wong, Adolfo Ramirez-Zamora, Pamela R Zeilman, Diego L Guarin","doi":"10.1109/EMBC53108.2024.10782673","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782673","url":null,"abstract":"Dysarthria is a common speech disorder in Parkinson's Disease (PD). The Dysarthria Analyzer software has emerged as a viable tool for automatic speech analysis in PD and quantification of dysarthria severity. However, most studies use the Dysarthria Analyzer with recordings obtained under tightly controlled conditions and high-quality microphones, and the utility of the Dysarthria Analyzer when used with recordings acquired under non-ideal conditions, such as in busy clinical settings, remains unexplored. This study investigates the Dysarthria Analyzer's performance in a setting more akin to a clinical environment using a smartphone. We obtained data from three groups, including healthy controls (HC), PD patients with their deep brain stimulation on (ON-DBS), and PD patients with their DBS off (OFF-DBS). We found a significant decrease in pitch variability and an increase in speech rate for the OFF-DBS group compared to the HC. Furthermore, most of the estimated values for the speech markers fall within the reported values in the literature. Our findings demonstrate that the Dysarthria Analyzer effectively extracts relevant speech markers even when used with recordings obtained under non-ideal conditions, emphasizing its potential for widespread clinical adoption.Clinical Relevance- Our findings demonstrate the potential of using smartphone recordings obtained in clinical environments for automatic objective speech analysis. These findings are relevant for developing a clinical tool that can be widely accessible and easily implemented during routine clinical visits of PD to improve the assessment of dysarthria in PD.","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":"143559091","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^.

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":"https://doi.org/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

Correlation between timed-up-and-go test and 6-minute walk test in patients with peripheral artery disease.

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/EMBC53108.2024.10782634

Fabian Wiesmuller, Andreas Prenner, Andreas Ziegl, Gihan El Moazen, Robert Modre-Osprian, Gerald Seinost, Gunther Silbernagel, Dieter Hayn, Gunter Schreier

{"title":"Correlation between timed-up-and-go test and 6-minute walk test in patients with peripheral artery disease.","authors":"Fabian Wiesmuller, Andreas Prenner, Andreas Ziegl, Gihan El Moazen, Robert Modre-Osprian, Gerald Seinost, Gunther Silbernagel, Dieter Hayn, Gunter Schreier","doi":"10.1109/EMBC53108.2024.10782634","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782634","url":null,"abstract":"Peripheral artery disease (PAD) is a widespread condition affecting over 200 million people worldwide. PAD leads to a restricted blood flow to the extremities, causing painful limitations and the risk of amputation in advanced stages. Among medical and surgical interventions, the therapy of PAD involves walking training. Two commonly used standardized tests to measure walking performance and general mobility are the 6-minute walk test (6MWT) and the timed-up-and-go (TUG) test. Since a 6MWT takes more time and effort to complete than a TUG test, assessing the correlation between these two tests is crucial to determine the viability of the TUG test as a practical alternative to the 6MWT. The comparison of 36 TUG tests and 6MWTs revealed a significant inverse correlation across all parameters of both tests, with Pearson's correlation coefficients up to R = -0.69 between the total TUG time and the total 6MWT distance. Future work should explore the potential substitution of the 6MWT with the TUG test and assess the impact of incorporating routine TUG tests in 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":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559107","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

Cough Sound Based Deep Learning Models for Diagnosis of COVID-19 Using Statistical Features and Time-Frequency Spectrum.

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/EMBC53108.2024.10781593

Jina Kim, Jinseok Lee

引用次数: 0

Crucial events identify early stage of cardiac autonomic neuropathy progression from ECG signals.

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/EMBC53108.2024.10782197

Sara Nasrat, Korosh Mahmoodi, Ahsan Khandoker, Paolo Grigolini, Shiza Saleem, Herbert F Jelinek

{"title":"Crucial events identify early stage of cardiac autonomic neuropathy progression from ECG signals.","authors":"Sara Nasrat, Korosh Mahmoodi, Ahsan Khandoker, Paolo Grigolini, Shiza Saleem, Herbert F Jelinek","doi":"10.1109/EMBC53108.2024.10782197","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782197","url":null,"abstract":"Cardiac autonomic neuropathy (CAN) is a condition characterized by neuropathic damage resulting in aberrant regulation of heart rate, and often manifests as changes in the ECG signals characterized by specific features of complexity, such as crucial events. This research explored the relationship between CAN progression and complexity measures involving crucial events, which can be determined using the modified diffusion entropy analysis (MDEA). MDEA measures the scaling index (0.5 < δ < 1) of the diffusion trajectory made of the crucial events (defined using the method of stripes). ECGs from the CAN dataset were recorded for 20 minutes, and CAN was classified based on established criteria into three groups: normal (n=40), early (n=42), and definite (n=7) stages. Fifteen-minute segments of the ECG time series were preprocessed and denoised and multiscale modified diffusion entropy analysis (MSMDEA) was applied to quantify the scaling index δ. Significant differences between disease progression were detected by comparing the MSMDEA scaling index (δ) across 20 temporal scaling factors using post hoc analysis (p<0.05), whereas the original unscaled signal yielded no significant detection of the disease progression. Crucial events detection indicates that the normal ECG signal is closer to the highest critical complexity (δ=1 or μ= 2), associated with a healthy cardiac autonomic function. Hence, crucial event analysis can be an adjunct to precision cardiology to assess cardiac health conditions, specifically CAN, and their progression from early to severe stages.","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":"143559140","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

Custom Ankle-Foot Orthosis in Foot Drop: Influence on Body Joints Kinematics.

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/EMBC53108.2024.10781982

Federica Amitrano, Armando Coccia, Federico Colelli Riano, Gaetano Pagano, Vito Marsico, Giovanni D'Addio

{"title":"Custom Ankle-Foot Orthosis in Foot Drop: Influence on Body Joints Kinematics.","authors":"Federica Amitrano, Armando Coccia, Federico Colelli Riano, Gaetano Pagano, Vito Marsico, Giovanni D'Addio","doi":"10.1109/EMBC53108.2024.10781982","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781982","url":null,"abstract":"Ankle Foot Orthoses (AFOs) are external supports typically prescribed in clinical practice to address foot drop deficits. Lower limb orthoses have been shown to have positive effects on spatio-temporal gait metrics, while the impact on body joint kinematics is less clear and varies in the literature. The objective of this study is to investigate the presence of a common movement pattern in body joints that compensates for the foot drop deficit. The study focuses on the trunk, knee, and hip joints. Eight patients with unilateral foot drop participated in walking trials on an instrumented treadmill. The trials included testing with both a conventional and a 3D printed custom passive AFO. The study results indicate that the use of AFOs on the impaired foot did not have a significant effect on joint kinematics in the study population, except for an improvement in trunk anterior flexion provided by the custom orthosis. There is evidence of altered biomechanics that cannot be corrected by passive orthoses alone. The study highlights the importance of physical training and long-term re-education of the patient in the correct use of the orthosis.","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":"143559144","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

Enhanced Transient Response of Ultrasound Neuromodulation Mediated by Large Conductance Mechanosensitive Ion Channel.

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/EMBC53108.2024.10782025

Xin Li, Guoying Zhang, Chenguang Zheng, Yutao Tian

{"title":"Enhanced Transient Response of Ultrasound Neuromodulation Mediated by Large Conductance Mechanosensitive Ion Channel.","authors":"Xin Li, Guoying Zhang, Chenguang Zheng, Yutao Tian","doi":"10.1109/EMBC53108.2024.10782025","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782025","url":null,"abstract":"Ultrasound neuromodulation, a burgeoning field aimed at enhancing brain function and behavior, relies on the intricate electrophysiological responses of neurons driven by ion channel dynamics. However, achieving targeted and precise modulation with ultrasound poses a significant challenge. A hypothesis is that mechanosensitive (MS) ion channels may play a pivotal role in achieving the desired specificity in ultrasound effects. Our study involved augmenting MscL-G22S channel expression in specific areas of rats' hippocampus (HP) and primary visual cortex (V1) via AAV virus delivery. We recorded local field potentials (LFPs) to assess the modulation effect and identified distinct evoked-related potentials (ERPs) in regions overexpressing MscL-G22S channels under anesthesia. Notable variations in the amplitude of negative peaks were observed in the ERPs between HP and V1, highlighting a nuanced response to ultrasound stimulation. These results highlight the complexity and promise of MS channel-mediated neuromodulation, offering critical insights into the development of targeted ultrasound interventions to improve brain function.","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":"143559155","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 Open-set Person Identification using Radar Extracted Cardiac Signals.

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/EMBC53108.2024.10782527

Zelin Xing, Mondher Bouazizi, Tomoaki Ohtsuki

{"title":"Deep Learning-based Open-set Person Identification using Radar Extracted Cardiac Signals.","authors":"Zelin Xing, Mondher Bouazizi, Tomoaki Ohtsuki","doi":"10.1109/EMBC53108.2024.10782527","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782527","url":null,"abstract":"Person identification based on radar-extracted vital signs has become increasingly popular due to its non-contact measurement capabilities. This paper introduces a novel deep learning-based person identification algorithm leveraging radar- extracted vital signs. While current studies mainly focus on closeset conditions with consistent training and testing categories, real-world scenarios often involve open-set circumstances, in which there are more data categories in the testing data. The algorithm involves extracting heart pulse signals from Doppler radar echoes, training two Convolutional Neural Network (CNN)-based models using transfer learning, and utilizing a distribution model for calibration. By combining the models' outputs through a strategic decision-making process, we achieve superior person identification results. Experimental results on a public radar vital signs dataset demonstrate an identification accuracy of 99.61% in close-set conditions and 94.35% in openset conditions, surpassing existing approaches.","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":"143559174","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

Letter Tracing: a Serious Game to Teach Handwriting and Assess Proficiency through Machine 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/EMBC53108.2024.10782843

Linda Greta Dui, Chiara Piazzalunga, Stefania Fontolan, Marisa Bortolozzo, Sandro Franceschini, Cristiano Termine, Simona Ferrante

{"title":"Letter Tracing: a Serious Game to Teach Handwriting and Assess Proficiency through Machine Learning.","authors":"Linda Greta Dui, Chiara Piazzalunga, Stefania Fontolan, Marisa Bortolozzo, Sandro Franceschini, Cristiano Termine, Simona Ferrante","doi":"10.1109/EMBC53108.2024.10782843","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782843","url":null,"abstract":"This work introduces the \"Letter Tracing\", a serious game designed to teach correct letter formation. Co-designed through collaboration with clinicians and technicians, the game underwent testing with 9 first- and 26 second-grade children to assess its ability to capture the evolution of handwriting abilities over time and handwriting proficiency. In the game, children were asked to trace the initial two letters of 12 words following a demonstration of correct movements, in a gamified environment. A set of indicators derived from raw executions was computed and utilized to train diverse machine learning models, predicting both the grade and the risk of a handwriting delay as evaluated by a handwriting fluency test. The classification yielded an accuracy of 71% in predicting the grade and 71% in predicting the risk of handwriting delay. These results hold promise for the game's potential as a training tool, as it effectively models the maturation of children's handwriting and their proficiency.","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":"143559664","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

Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection.

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/EMBC53108.2024.10782331

Nawfal Guefrachi, Jian Shi, Hakim Ghazzai, Ahmad Alsharoa

{"title":"Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection.","authors":"Nawfal Guefrachi, Jian Shi, Hakim Ghazzai, Ahmad Alsharoa","doi":"10.1109/EMBC53108.2024.10782331","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782331","url":null,"abstract":"The integration of Light Detection and Ranging (LiDAR) and Internet of Things (IoT) technologies offers transformative opportunities for public health informatics in urban safety and pedestrian well-being. This paper proposes a novel framework that utilizes these technologies for enhanced 3D object detection and activity classification in urban traffic scenarios. By employing elevated LiDAR, we obtain detailed 3D point cloud data, enabling precise pedestrian activity monitoring. To overcome urban data scarcity, we create a specialized dataset through simulated traffic environments in Blender, facilitating targeted model training. Our approach uses a modified Point Voxel Region-Based Convolutional Neural Network (PV-RCNN) for robust 3D detection and PointNet for classifying pedestrian activities, significantly benefiting urban traffic management and public health by offering insights into pedestrian behavior and promoting safer urban environments. Our dual-model approach not only enhances urban traffic management but also contributes significantly to public health by providing insights into pedestrian behavior and promoting safer urban 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":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559665","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