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2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

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A Deep Multi-Scale Convolutional Neural Network for Classifying Heartbeats 一种用于心跳分类的深度多尺度卷积神经网络
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633163
Mengyao Bai, Yongjun Xu, Lianyan Wang, Zhihui Wei
{"title":"A Deep Multi-Scale Convolutional Neural Network for Classifying Heartbeats","authors":"Mengyao Bai, Yongjun Xu, Lianyan Wang, Zhihui Wei","doi":"10.1109/CISP-BMEI.2018.8633163","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633163","url":null,"abstract":"The electrocardiogram (ECG) is a very important tool to reflect the health of the human heart. There are many cardiac abnormalities which can be diagnosed from ECG data. In our paper, we design a 15-layer multi-scale convolutional neural network (CNN) which can map ECG data and RR intervals to the corresponding rhythm classes. One of the key points of the proposed model is that the multi-scale convolution block enables the network extract scale-relevant features of heartbeats, which is effective in practice. Another key point is that shortcut connections are employed to avoid the loss of information as the network depth increases. Furthermore, we employ RR interval as dynamic features and concatenate them with the morphological features extracted by the multi-scale CNN model as the final heartbeat features for classification. We use the open source PhysioBank MIT-BIH Arrhythmia database to train and evaluate ECG algorithms. In “class-based” strategy, the recognition accuracy rate reaches 98.32%, while in the “subject-based” strategy, the accuracy is 93.9%, which exceed the performance of most existing classification methods.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132063922","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
GVF and CV Model-Based Pulmonary Artery Edge Detection of CTPA Image Sequence 基于GVF和CV模型的CTPA图像序列肺动脉边缘检测
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633041
Xin Guo, Hongfang Yuan, Zhou Wen, Min Liu, Huaqing Wang
{"title":"GVF and CV Model-Based Pulmonary Artery Edge Detection of CTPA Image Sequence","authors":"Xin Guo, Hongfang Yuan, Zhou Wen, Min Liu, Huaqing Wang","doi":"10.1109/CISP-BMEI.2018.8633041","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633041","url":null,"abstract":"Since the gradient vector flow (GVF)model is not suitable for multi-objects edges detection and cannot adapt to the change of the object's geometric topology, and the Chan-Vese (CV)model is easy to result in false detection, this paper proposes a new method for detecting the edges of the pulmonary artery for the computed tomographic pulmonary angiography (CTPA)image sequences which combines the advantages of GVF model and CV model. Firstly, the initial contour is driven by the GVF field. After getting the converged contour curve, the image inside the curve is extracted; Secondly, CV model-based edge detection is performed on the segmented image to solve the problem of multi-objects detection. Experiments show that the proposed method can effectively solve the problem of pulmonary artery edges detection in CTPA images. Applying the algorithm to targets tracking for image sequence, the method can detect the edges of each target separately, and obtain the independent contours, when the pulmonary artery is split into two.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230387","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 Characteristic Extraction Method of Fiber Intrusion Signals Based on Band Cutting and Imaging 基于带切割和成像的光纤入侵信号特征提取方法
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633165
Zhiyong Sheng, Tingliang Feng, Yanping Wang, Jun Fan
{"title":"The Characteristic Extraction Method of Fiber Intrusion Signals Based on Band Cutting and Imaging","authors":"Zhiyong Sheng, Tingliang Feng, Yanping Wang, Jun Fan","doi":"10.1109/CISP-BMEI.2018.8633165","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633165","url":null,"abstract":"This thesis put forward a band cutting and imaging to extract characteristic for optical fiber intrusion signals. Firstly, frequency-time distribution of every dimensional intrusion location is obtained by the frequency-time analysis technique of original collected signals. Then, energy band integral goes along the frequency direction. The 2-D images are further stacked to form layers, leading to 3-D space-time-frequency cubic data. Lastly, the corresponding time and space feature spectrum based on the 3-D cube data is as the feature of the intrusion signals. The actual data experiments show that multi-band cutting and imaging is a very effective method for feature extraction and type identification of fiber-optic intrusion signals.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133741503","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
Quantitying Nonlinear Dynamic Complexity of Epileptic EEG by Conditional Entropy Based on Different Entropy Measures 基于不同熵测度的条件熵定量癫痫脑电非线性动态复杂性
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633053
Bin Zhu, Jiafei Dai, Jin Li, Jun Wang, F. Hou
{"title":"Quantitying Nonlinear Dynamic Complexity of Epileptic EEG by Conditional Entropy Based on Different Entropy Measures","authors":"Bin Zhu, Jiafei Dai, Jin Li, Jun Wang, F. Hou","doi":"10.1109/CISP-BMEI.2018.8633053","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633053","url":null,"abstract":"Brain is a typical nonlinear complex system, influenced by different factors. We employ CondEn (conditional entropy) based on linear, kernel and k-nearest-neighbor estimators to quantify nonlinear dynamic complex of epileptic brain electric activities from Bonn database. The three entropy measures all have promising results, among which kernel estimator shows optimal performance with feature of insensitivity to tolerance. CondEn of seizure EEG is the highest 3.2bit approximately while the seizure-free brain activities have lowest 1.5bit, and the entropy value of EEGs of the normal subjects is 1.9bit. CondEn is an effective parameter to measure nonlinear dynamic complexity of EEG, and EEG during seizure have the highest entropy, the normal EEG signal followed, and the seizure-free state was the lowest.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114077222","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 Realization Framework of Intelligent Film Evaluation System 智能电影评价系统的实现框架
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633250
Shan Liu, Yi Zhang, Ciran Wang
{"title":"A Realization Framework of Intelligent Film Evaluation System","authors":"Shan Liu, Yi Zhang, Ciran Wang","doi":"10.1109/CISP-BMEI.2018.8633250","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633250","url":null,"abstract":"The paper combines the classical screenwriting theory recognized by the film and television industry, using natural language processing technology to evaluate the script from the two directions of character relations and emotional trends. Based on the social network theory and the application of computer-assisted literature, the person-to-person relationship is built in a network of key role relationships. Moreover, we simulate the emotional sentiment analysis using emotional lexicon technology and combines the “three-screen theory” of the film and television industry to calculate the emotional changes of the entire film and build a Screenplay Evaluation Network. The results are significant as the evaluation system can be used in the film industry to help improve the quality of the future productions.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116241700","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 Non-Invasive Respiration Rate Monitoring Method Using 915 MHz Frequency Band 一种基于915mhz频段的无创呼吸频率监测方法
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633213
Yanli Wang, W. Ke, Jun Lu, Haoran Zuo, Mengling Chen, Jie Jin
{"title":"A Non-Invasive Respiration Rate Monitoring Method Using 915 MHz Frequency Band","authors":"Yanli Wang, W. Ke, Jun Lu, Haoran Zuo, Mengling Chen, Jie Jin","doi":"10.1109/CISP-BMEI.2018.8633213","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633213","url":null,"abstract":"Breathing frequency not only indicates the progression of the disease but also an important vital sign predicting a rapid decline in health. For this purpose, noncontact monitoring systems are increasingly prevalent to clearly enhance patient comfort. As a low cost solution for noninvasive respiratory monitoring, respiratory rate measurement based on inexpensive transceiver based received signal strength (RSS) is widely used. In this research, respiration rate monitoring method based on ready-made pair of transceivers has been proposed. We propose a method to estimate and improve accuracy and evaluate its effect. Furthermore, respiration monitoring and frequency estimation are performed in the frequency band of 915 MHz. Experimental results show reliable detection and high frequency estimation accuracy.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132176431","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
Research on Real-Time Graphics Drawings Technology in Virtual Scene 虚拟场景中的实时图形绘制技术研究
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633195
Pingao Liu, Yu-Chen Wu
{"title":"Research on Real-Time Graphics Drawings Technology in Virtual Scene","authors":"Pingao Liu, Yu-Chen Wu","doi":"10.1109/CISP-BMEI.2018.8633195","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633195","url":null,"abstract":"The drawing technology of real-time graphics in virtual scenes has been continuously upgraded. The purpose of this study is to study the rapid generation algorithm of virtual campus models. Based on the analysis of the current existing Z-buffer blanking algorithm using two depth cache variables, virtual reality is used. Technology (VRML), 3D panoramic technology and computer network technology to build a virtual campus, using OpenGL programming, 3D max modeling technology, design and implementation of a virtual campus panorama roaming model to generate a Z buffer Buffering algorithm using a deep cache variable to solve To observe three-dimensional objects in a certain point of view, you can see the dotted surface of the surface of the object, and the other parts may be occluded by these parts; this algorithm can effectively blank the complex scene target virtual scene. The model was optimized and the realistic campus panorama environment was simulated using computer technology to realize a friendly and interactive virtual campus roaming system.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294993","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
Application of Synchronous Acquisition Technology Based on JESD204B Protocol in Phased Array Radar 基于JESD204B协议的同步采集技术在相控阵雷达中的应用
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633139
Min Xie, Siyuan Liu, Dengyue Zhai, Jiadong Yuan
{"title":"Application of Synchronous Acquisition Technology Based on JESD204B Protocol in Phased Array Radar","authors":"Min Xie, Siyuan Liu, Dengyue Zhai, Jiadong Yuan","doi":"10.1109/CISP-BMEI.2018.8633139","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633139","url":null,"abstract":"Phased array radar (PAR)is an important part of modern military electronic equipment. Multi-channel data synchronous acquisition is a key technology that needs to be solved when receiving and processing PAR signal. Traditional parallel acquisition systems have low channel integration and limited transmission rate, which does not meet the trend of miniaturization, high bandwidth and deterministic delay of data acquisition systems. This paper briefly introduces the principle of phased array radar, and principle of JESD204B protocol for synchronous design. Based on the full understanding of the principle, this paper analyzes the key technology of synchronization using this protocol and designs a multi-channel data acquisition board. The board realizes single system synchronization through strict routing, and achieves multi-system synchronization using the master-slave system design. The test results show that the data acquisition system using JESD204B protocol can effectively realize multi-channel data synchronous acquisition.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132835251","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
Application of a Wearable Physiological Monitoring System in Pulmonary Respiratory Rehabilitation Research 可穿戴生理监测系统在肺呼吸康复研究中的应用
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633113
Desen Cao, Zhengbo Zhang, Hong Liang, Xiaoli Liu, Yingjia She, Yuzhu Li, Deyu Li, Mengsun Yu
{"title":"Application of a Wearable Physiological Monitoring System in Pulmonary Respiratory Rehabilitation Research","authors":"Desen Cao, Zhengbo Zhang, Hong Liang, Xiaoli Liu, Yingjia She, Yuzhu Li, Deyu Li, Mengsun Yu","doi":"10.1109/CISP-BMEI.2018.8633113","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633113","url":null,"abstract":"Pulmonary rehabilitation has been demonstrated as a highly effective and safe treatment for improving health-related quality of life and reducing hospital admissions mortality in chronic obstructive pulmonary disease (COPD) patients. Despite significant progress within the physiological monitoring device industry, the widespread integration of wearable systems into medical practice remains limited. In this paper, we present a medical-grade wearable multi-sensor system to acquire COPD patients' vital signs and assist in pulmonary respiratory rehabilitation. Currently, 4 areas in this field were explored: breathing pattern analysis, respiratory exercises training, six minute walk test and inpatient 24-hours physiological monitoring. Totally 130 subjects enrolled in this study. The results show that this system can acquire cardiopulmonary physiological signals unobtrusively and accurately, and provide useful information for pulmonary respiratory rehabilitation. The next step for this work is to collect more physiological data from COPD patients during respiratory training exercises and generate individualized guideline and therapy for pulmonary respiratory rehabilitation.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"55 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132900073","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
Information Retrieval Based on Word Semantic Clustering 基于词语义聚类的信息检索
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI: 10.1109/CISP-BMEI.2018.8633017
Chia-Yang Chang, Yan-Ting Lin, Shie-Jue Lee, Chih-Chin Lai
{"title":"Information Retrieval Based on Word Semantic Clustering","authors":"Chia-Yang Chang, Yan-Ting Lin, Shie-Jue Lee, Chih-Chin Lai","doi":"10.1109/CISP-BMEI.2018.8633017","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633017","url":null,"abstract":"Information retrieval is an important topic in the modern age. With the advance of Internet, it is more and more easy to retrieve other people's writings or publications. However, how to retrieve desirable information efficiently is a challenging work. Traditional methods like vector space model or bag-of-words are short of providing a good solution due to the incapability of handling the semantics of words satisfactorily. In this paper, we propose a new method for information retrieval. We use Word2vec to transform the words into word vectors which are able to represent the semantic relationship among different words. By considering the semantic of words and clustering the word vectors into concepts, information retrieval can be done effectively.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132437826","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
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