Proceedings of the 7th International Conference on Biomedical Signal and Image Processing最新文献_第2页

Framework of Unsupervised based Denoising for Optical Coherence Tomography 基于无监督的光学相干层析去噪框架

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563741

Hanya Ahmed, Qianni Zhang, R. Donnan, A. Alomainy

{"title":"Framework of Unsupervised based Denoising for Optical Coherence Tomography","authors":"Hanya Ahmed, Qianni Zhang, R. Donnan, A. Alomainy","doi":"10.1145/3563737.3563741","DOIUrl":"https://doi.org/10.1145/3563737.3563741","url":null,"abstract":"Optical Coherence Tomography (OCT) is a newly established imaging technology, now widely adopted in various medical settings such as ophthalmology and dermatology, though to a lesser but emerging extent in dentistry. Its conventional acceptance for den-tistry, particularly, is hindered by speckle noise, inherent in the methodology of image capture. A degraded signal-to-noise ratio accentuates ambiguity in feature extraction and contributes to the introduction of artefacts. This ultimately impacts its clinical utility where clear diagnostic detail is sort. This paper proposes a deep learning based denoising technique for OCT images. The approach is an unsupervised denoising framework in which the training data was created from one OCT image. This ensures fast processing as it is focused on essential data removal. Additionally, there are limited clean datasets for OCT available. The approach was analysed quan-titatively and visually against state-of-the-art denoising algorithms. The experimental results show that the approach verifiably removes speckle noise. The method improved the PSNR (dB) by 23.5, CNR (dB) by 7.7 and ENL (dB) by 585.5.","PeriodicalId":127021,"journal":{"name":"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131815037","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

The electrodes shirt design for ECG imaging 用于心电成像的电极衬衫设计

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563753

Yadan Zhang, Xin Lian, Jian Wu

引用次数: 1

Learning-induced Neural Plasticity in the Primary Motor Cortex during the Motor Imagery Task and the Speech Task 运动意象任务和言语任务中初级运动皮层学习诱导的神经可塑性

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563752

Dongrong Lai, Zijun Wan, Feixiao Ren, Hongjie Jiang, Kedi Xu

{"title":"Learning-induced Neural Plasticity in the Primary Motor Cortex during the Motor Imagery Task and the Speech Task","authors":"Dongrong Lai, Zijun Wan, Feixiao Ren, Hongjie Jiang, Kedi Xu","doi":"10.1145/3563737.3563752","DOIUrl":"https://doi.org/10.1145/3563737.3563752","url":null,"abstract":"Brain-computer interfaces (BCIs) are systems that provide the connection between the brain and the external device. With the development of BCIs, understanding the basic mechanism like the BCI-induced brain plasticity enables the practical design of training sessions. We recorded neural activity over five weeks during the motor imagery task and the speech task under our spike-based BCI system involving an individual with tetraplegia. Pairwise correlations between neurons were calculated to quantify brain plasticity for the neural ensemble. The sharply increasing correlated activity was observed at the initial training phase and then declined and remained relatively low for both tasks. Our results also demonstrate the BCI-induced neural plasticity during short-time training sessions for the motor imagery task and the speech task. Moreover, a stronger correlation was found during the speech task than during the motor imagery task, suggesting task-induced changes in neural connectivity. Our findings provide important insights into human brain plasticity and thus benefit the design of clinical neuroprosthetics systems.","PeriodicalId":127021,"journal":{"name":"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127570932","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

Fast ART Algorithm Based on Simplified Weighting Factor Calculation 基于简化加权因子计算的快速ART算法

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563738

Xianchao Wang, Yong Zhang, Yu Dai

引用次数: 0

Advances in the Application of Magnetic Resonance Imaging in the Diagnosis of Brain Diseases 磁共振成像在脑部疾病诊断中的应用进展

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563739

Qingyun Lin

引用次数: 0

The Primary Motor Cortex Represents Unilateral and Bilateral Movements of Elbows and Wrists – a Pilot Study 初级运动皮层代表肘部和手腕的单侧和双侧运动-一项初步研究

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563758

Zijun Wan, Dongrong Lai, Feixiao Ren, Weidong Chen, Kedi Xu

引用次数: 0

XGBoost Prediction of Infection of Leukemia Patients with Fever of Unknown Origin XGBoost对白血病不明原因发热患者感染的预测

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563761

Yan Li, Yanhui Song, Fei Ma

引用次数: 1

Evaluation of Different Cutoff Frequencies of High-pass Filter for Online Spike Sorting 高通滤波器不同截止频率对在线尖峰分选的评价

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563754

Yuxiao Ning, Yiwei Zhang, Tianyu Zheng, Shaomin Zhang

{"title":"Evaluation of Different Cutoff Frequencies of High-pass Filter for Online Spike Sorting","authors":"Yuxiao Ning, Yiwei Zhang, Tianyu Zheng, Shaomin Zhang","doi":"10.1145/3563737.3563754","DOIUrl":"https://doi.org/10.1145/3563737.3563754","url":null,"abstract":"Despite the ever-increasing demand for online spike sorting to be applied in various closed-loop neuromodulation experiments and treatments, the performance and bandwidth are still constrained by the strict requirement for time complexity. Initiatives for improving online spike sorting performance mostly started with the implementation and designing of sorting algorithms, assuming standardized data preprocessing operations are applicable to all cases and separable for evaluating sorting performance. However, we postulated that the cutoff frequency of the high-pass filter could affect the sorting performance, given that spike waveforms are informative in a broad band and would be distorted if the frequency characteristics of the filter and noise do not match. Based on this rationale, we have evaluated how cutoff frequency affects the spike sorting performance on both the synthetic and real datasets. It was demonstrated that, the cutoff frequency can have a huge impact on the sorting performance. Further, this impact was noise-dependent. For neural signals with homogeneous noise, the cutoff frequency would lead to greater disparity when the signal-noise ratio decreased. While for signals with different types of noise, when the noise was subject to a “1/f” power spectrum, higher cutoff frequencies would render better performance. However, lower cutoff frequencies were advantageous when the noise deviated from the “1/f” noise. Therefore, according to the evaluation, when the cutoff frequency of the high-pass filter was adaptively switchable, the spike sorting performance would be enhanced while sidestepping the challenges in designing sorting algorithms.","PeriodicalId":127021,"journal":{"name":"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128334076","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: 1

Study on fatty liver based on Pseudotime analysis 基于伪时间分析的脂肪肝研究

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563744

Yunheng Wu, Meixue Li

{"title":"Study on fatty liver based on Pseudotime analysis","authors":"Yunheng Wu, Meixue Li","doi":"10.1145/3563737.3563744","DOIUrl":"https://doi.org/10.1145/3563737.3563744","url":null,"abstract":"In recent decades, the unhealthy diet and sedentary lifestyles of people are taking their toll on growing cases of metabolic diseases worldwide, one of them being Nonalcoholic Fatty Liver Disease (NAFLD). This disease has become one of the most sophisticated medical and physiological puzzles because of its convoluted mechanisms of progression.Existing gene expression analysis methods like microarray or RNA-sequencing are unable to resolve the complex mechanisms of progression of non-alcoholic fatty liver disease (NAFLD) due to insufficient accuracy and lack of phenotypic data. Particularly, incomplete phenotypic data in public liver gene expression cohorts have cumbered many studies on the progression of NAFLD. To address this issue, the cutting-edge pseudotime analysis is adopted to estimate liver health status in human liver gene expression data. The identified DE genes separate the NAFLD patients and the healthy controls in hierarchical clustering, and their related biological pathways are highly relevant to liver signaling and injury, implying the close relationship between the DE gene expressions and NAFLD. What's more, the pseudotime analysis we conducted simulates the deterioration of NAFLD by using liver fat percent to represent NAFLD severity and aligning the candidate samples on the estimated trajectory according to their respective gene expression and covariates; we verified the pseudotime model using another microarray cohort.","PeriodicalId":127021,"journal":{"name":"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124758073","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

STAT1 Regulates the Expression of MHC-I Class Molecules in Ovarian Cancer STAT1调控MHC-I类分子在卵巢癌中的表达

Proceedings of the 7th International Conference on Biomedical Signal and Image Processing Pub Date : 2022-08-19 DOI: 10.1145/3563737.3563746

Yu-Ning Fan, Chunbo He

引用次数: 0