2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

B-mode Ultrasound Texture Recognition Algorithm of Liver Based on Random Forests 基于随机森林的肝脏b超纹理识别算法

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263593

Hongbin Li, Lihua Yang, T. He, Yingcong Xiao, Zhonghua Liang, Xiaoming Wu

{"title":"B-mode Ultrasound Texture Recognition Algorithm of Liver Based on Random Forests","authors":"Hongbin Li, Lihua Yang, T. He, Yingcong Xiao, Zhonghua Liang, Xiaoming Wu","doi":"10.1109/CISP-BMEI51763.2020.9263593","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263593","url":null,"abstract":"With the advantages of non ionizing radiation, real-time imaging, multi-directional tomography and dynamic observation of blood flow, B-mode ultrasound has become the preferred method for imaging examination of some organs such as liver, gallbladder, pancreas and spleen. On the one hand, the B-ultrasound diagnostic doctor fixed his eyes on the screen of B- ultrasound monitor, on the other hand, he operated the probe to move on the patient's position to be examined. With dozens of patients are examined every day, so B-mode ultrasound doctors often work at full-load every day and lead to eye fatigue. Eye fatigue easily causes erroneous diagnosis or missed diagnosis. With the development of artificial intelligence technology and computer technology, more and more work done by human can be completed by computer instead. The computer will not feel fatigue for long working hours, and its analysis has objectivity and consistency. Therefore, computer-aided diagnosis is an urgent need in the field of B-mode ultrasound. Random forests algorithm is a machine learning algorithm based on decision tree, which can be used for classification. In this study, a B-mode ultrasound texture recognition algorithm for liver based on random forests is established. Compared with CART decision tree algorithm with sufficient samples, it is found that random forests is superior to CART decision tree in the accuracy of texture recognition, so random forests has a good application prospect in the analysis of B-mode ultrasound texture and computer aided diagnosis of diseases.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130437","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

Revisiting Linear Convolution, Circular Convolution and Their Related Methods 回顾线性卷积、圆卷积及其相关方法

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263607

Changli Li, H. Kwan, Xinxin Qin

{"title":"Revisiting Linear Convolution, Circular Convolution and Their Related Methods","authors":"Changli Li, H. Kwan, Xinxin Qin","doi":"10.1109/CISP-BMEI51763.2020.9263607","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263607","url":null,"abstract":"For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the system impulse response is much shorter, the overlap and add method (OA), and the overlap and save method (OS) are efficient for calculating the response. During the calculation, the long input sequence is sectioned into short blocks and the block circular convolution is computed by the fast Fourier transform (FFT) algorithm. In this paper, we revisit the linear convolution and circular convolution, bring some new perspectives, and make detailed explanations for OA and OS. Firstly, based on the definition of linear convolution, we make comments and also propose a so-called tabulation method for it. Then we establish a relationship between the circular convolution and linear convolution of two same finite-length sequences, and derive a similar tabulation method for the circular convolution. Moreover, we provide an interpretation for OA from the point of view of the tabulation method. Finally, after illustrating OS, we provide a sound proof for it based on the derived relationship between the linear convolution and circular convolution and also make some comments on it.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696313","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 Real-Time Impedance Measurement System for EEG Based on Embedded System 基于嵌入式系统的脑电图实时阻抗测量系统

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263533

Peng Shen, Yunqing Liu, Wenqiang Xiong, Aijun He, Mengya Zhang

{"title":"A Real-Time Impedance Measurement System for EEG Based on Embedded System","authors":"Peng Shen, Yunqing Liu, Wenqiang Xiong, Aijun He, Mengya Zhang","doi":"10.1109/CISP-BMEI51763.2020.9263533","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263533","url":null,"abstract":"The contact between the electrodes in the electroencephalogram (EEG) machine and the scalp has a great influence on the quality of the EEG. In order to guarantee the quality of the collected brain waves, we designed an embedded real-time impedance measurement system for the EEG. The system uses the ADS1299 chip, which depends on the on-chip current source to generate an alternating current which is higher than the frequency of the EEG signal as the output signal for impedance measurement. After A/D conversion, the obtained signals contain both EEG signals and impedance measurement signals. Furthermore, the system uses stm32f723 as the main control chip to design a filter to separate the two kinds of signals, and calculate the impedance value between the electrode and scalp in real time. In this system, the EEG signal and the impedance value data are stored in the SD card in BDF format at the same time, which provides the basis for judging the effective EEG data in the later signal processing. At the same time, the impedance value is compared with the preset threshold, and the LED is used to indicate whether the scalp is in good contact. Based on stm32F723 embedded system, the whole system has high integration, small volume, high measurement accuracy and strong real-time performance, which is of great significance for obtaining high-quality EEG data.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127090156","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

3D Reconstruction From Monocular Images Based on Deep Convolutional Networks 基于深度卷积网络的单眼图像三维重建

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263626

Yinhui Ren, Zhihui Wang, Daoerji Fan

引用次数: 1

Modeling of Chinese Brush Deformation Behaviors and Real-time Simulation of Half-dry Strokes 中文笔刷变形行为建模及半干笔划实时仿真

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263592

Wei-hua An, Dongying Liu

引用次数: 0

A Novel Maneuvering Target Tracking Algorithm Using Polynomial Filter 一种新的基于多项式滤波的机动目标跟踪算法

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263679

Xiaoke Lu, Xinyue Zhao, Jinping Sun

引用次数: 0

Improved Adaptive Filtering based Artifact Removal from EEG Signals 基于改进自适应滤波的脑电信号伪影去除

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263595

Bo Hua

引用次数: 0

A Green Power Traceability Technology Based on Timestamp in a Main-Side Chain System 基于时间戳的主侧链绿色电力溯源技术

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263525

Hongkai Wang, Yiyang Yao, Xiaohui Wang, Xiaoyi Wang, L. Zeng, Weiwei Qiu, Dong He, Qiang Wang

{"title":"A Green Power Traceability Technology Based on Timestamp in a Main-Side Chain System","authors":"Hongkai Wang, Yiyang Yao, Xiaohui Wang, Xiaoyi Wang, L. Zeng, Weiwei Qiu, Dong He, Qiang Wang","doi":"10.1109/CISP-BMEI51763.2020.9263525","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263525","url":null,"abstract":"With the low carbon emission target out of protecting environment, electric vehicle is a promising transportation tool. The number of electric vehicles is rising rapidly in recent years which creates lots of corresponding charging demands. With both users and charging piles rising, however, condition of charging pile and price of electricity in different district are not transparent for users. In order to promote the benign interaction of production, distribution and consumption of green power, merging blockchain technology is a promising strategy. Unchangeable and traceable property of blockchain can make green power traceable. In this paper, a green power traceable system based on blockchain technology is proposed for providing convenient green power charging services for users. This system consists of main chain, transaction side chain and data side chain. Through the three dimensions of quantity, price and time, the type of energy and the region can be traced. In this system, we proposed a fast tracing technology based on index by timestamp. Experiment contrast index technology with traversal and smart contact. It shows that index by timestamp technology is more effective than traversal and smart contract.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124573575","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

Graph and Word Similarity for Word Sense Disambiguation 词义消歧的图与词相似度

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263579

Fanqing Meng

引用次数: 1

A Realization Framework of International Image Prediction System for Film and TV Works 国际影视作品图像预测系统的实现框架

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2020-10-17 DOI: 10.1109/CISP-BMEI51763.2020.9263494

Shan Liu, Xiaoqing Wu, Mingyue Zheng, Xinqiao Cheng, Ruijing Fang, Pingru Long

引用次数: 0