2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

Rare Animal Image Recognition Based on Convolutional Neural Networks 基于卷积神经网络的珍稀动物图像识别

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965748

Xinyu Hao, Guangsong Yang, Qiubo Ye, Donghai Lin

引用次数: 3

A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence 基于时空特征序列的驾驶员疲劳识别算法

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965990

Chen Zhang, Xiaobo Lu, Zhiliang Huang

引用次数: 5

CycleGAN Based on Relative Loss Functions 基于相对损失函数的CycleGAN

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965890

Huibai Wang, Liyuan Yu

引用次数: 0

Fissured Tongue Image Recognition Based on Support Vector Machine 基于支持向量机的舌裂图像识别

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965785

Chao Wan, Yue Zhang, Chunming Xia, P. Qian, Yiqin Wang

{"title":"Fissured Tongue Image Recognition Based on Support Vector Machine","authors":"Chao Wan, Yue Zhang, Chunming Xia, P. Qian, Yiqin Wang","doi":"10.1109/CISP-BMEI48845.2019.8965785","DOIUrl":"https://doi.org/10.1109/CISP-BMEI48845.2019.8965785","url":null,"abstract":"Tongue diagnosis is a primary method of traditional Chinese medicine (TCM) diagnosis, and the identification of fissured tongue is one of the important contents of tongue diagnosis, since fissured tongue always reflects some diseases. In this paper, the recognition of fissured tongue is studied. Firstly, the images of fissured tongue and non-fissured tongue were preprocessed by median filtering, histogram averaging and tongue segmentation. Because there are obvious texture and gray gradient differences between fissured and non-fissured areas in tongue images, local binary pattern (LBP), histogram of oriented gradient (HOG) and haar-like feature extraction were applied to tongue images respectively to get the input vectors. Then support vector machine (SVM) with four different kernel functions were respectively applied to train the classifiers and five-fold cross validation was adopted to get the average accuracy, precision and recall of the classification model. The results show that LBP features with linear kernel function can get the best classification effect, among which the accuracy rate is 97.72%, the precision rate is 97.46%, and the recall rate is 98.06%. This research lays a foundation for further fissure extraction in fissured tongue, and further facilitates the development of intelligence and automation of tongue diagnosis in the field of traditional Chinese medicine.","PeriodicalId":257666,"journal":{"name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125058164","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: 4

Acoustic Detection of ArterioVenous Access Stenosis Based on MUSIC Power Spectral Features 基于MUSIC功率谱特征的动静脉通道狭窄声学检测

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965794

Jinhai Zhou, Jingping Tong, Yang Chang, Shiyi Zhou, Yichuan Wang, Hua Li, Yibiao Huang, Cheng Zhu, Xiangfei Wu

{"title":"Acoustic Detection of ArterioVenous Access Stenosis Based on MUSIC Power Spectral Features","authors":"Jinhai Zhou, Jingping Tong, Yang Chang, Shiyi Zhou, Yichuan Wang, Hua Li, Yibiao Huang, Cheng Zhu, Xiangfei Wu","doi":"10.1109/CISP-BMEI48845.2019.8965794","DOIUrl":"https://doi.org/10.1109/CISP-BMEI48845.2019.8965794","url":null,"abstract":"Arterio Venous Vascular Access (AVA) stenosis is a common complication in hemodialysis patients. Clinically, AVA stenosis happens when the cross-sectional area is reduced to less than 50% of the normal area. In order to highlight the correlation between the power spectral features of AVA Phonoangiography signals (PCG) and degree of stenosis (DOS), In-vitro BioPhysical Simulation Model (BPSM) is used to control individual conditions. Previous studies have pointed out that the features of PCG can be used to detect stenosis, but there were differences in the specific frequency band range. In this study, a method for extracting the power spectral features of PCG based on MUltiple SIgnal Classification power spectrum estimation algorithm (MUSIC) is proposed. This method has a high resolution for the high-frequency low-energy sound caused by stenosis. Using the proposed method, a strong correlation is found between the frequency peak near 820 Hz (820 ±70 Hz) and the AVA stenosis. Based on the above feature extraction method, a support vector machine (SVM) classification model is trained on data obtained on the BPSM. Finally, using MUSIC features extraction model and SVM classification model, the correct classification rate on BPSM data is 96.4%, and the SVM model is validated on 19 clinical measured data, the accuracy is 84.2%.","PeriodicalId":257666,"journal":{"name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114273287","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

Prediction of ECG Signal Based on TS Fuzzy Model of Phase Space Reconstruction 基于相空间重构TS模糊模型的心电信号预测

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965793

Fang Su, Hong-Sheng Dong

引用次数: 5

An Ambulatory Blood Pressure Monitoring System Based on the Uncalibrated Steps of the Wrist 基于腕部非校准步数的动态血压监测系统

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8966011

Qiwei Wu, Jie Yang, Guoyan Zheng, Xianwen Zhang, Yandong Zhang, Cai Xu, Jintian Tang

{"title":"An Ambulatory Blood Pressure Monitoring System Based on the Uncalibrated Steps of the Wrist","authors":"Qiwei Wu, Jie Yang, Guoyan Zheng, Xianwen Zhang, Yandong Zhang, Cai Xu, Jintian Tang","doi":"10.1109/CISP-BMEI48845.2019.8966011","DOIUrl":"https://doi.org/10.1109/CISP-BMEI48845.2019.8966011","url":null,"abstract":"Hypertension has become the most common chronic disease which brings a heavy medical burden to society. However, current intermittent measuring instruments, such as electronic sphygmomanometer, cannot monitor blood pressure (BP) in real time. At the same time, there are calibration steps in ambulatory measuring instruments represented by pulse arrival time (PAT)-based measuring instruments, which are inconvenient for patients. In order to overcome the above mentioned shortcomings, this study developed a wrist-based wearable real-time measurement system without calibration steps. Based on the hemodynamic principle of the linear relationship between the waveform parameters of Photoplethysmography (PPG)-Ballistocardiography (BCG) and BP, the systolic and diastolic blood pressure prediction results of this device had a correlation coefficient of 0.9 and 0.92, respectively, compared with the actual values. The MAD and RMSE were 3.08 ± 4.29 mmHg and 1.52 ± 2.20 mmHg correspondingly, which was superior to traditional PAT-based BP prediction devices. The results showed that the device has the advantages of simplicity and accuracy, which helps to improve the quality of life for patients and reduce the medical burden caused by hypertension.","PeriodicalId":257666,"journal":{"name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129750602","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

Automatic Full and Partial Shoeprint Retrieval System for Use in Forensic Investigations 用于法医调查的全、部分鞋印自动检索系统

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965755

Hsin-Chuan Chiu, Chung-Hao Chen, Wen-Chao Yang, Jiajun Jiang

{"title":"Automatic Full and Partial Shoeprint Retrieval System for Use in Forensic Investigations","authors":"Hsin-Chuan Chiu, Chung-Hao Chen, Wen-Chao Yang, Jiajun Jiang","doi":"10.1109/CISP-BMEI48845.2019.8965755","DOIUrl":"https://doi.org/10.1109/CISP-BMEI48845.2019.8965755","url":null,"abstract":"Forensic identification methods can be divided into physical forensics, chemical forensics, and biological forensics categories. Robust automatic identification or retrieval systems, such as AFIS and DNA-STR analysis systems, for fingerprints and biological evidence have been introduced. However, there are still challenges for shoeprint evidence. For example, most of identification or retrieval methods can only be applied to intact shoeprints, and do not compare shoeprints with different sizes. In addition, the shoeprints at a real crime scene are commonly incomplete, noisy, and unclear. In this paper, we propose a new shoeprint retrieval system that normalizes the size of shoeprints and is efficient in retrieving full- and partial-print shoeprints. Experimental results demonstrate our proposed method is capable of handling shoeprint identification in varied situations such as dusting environment, partial print, etc. In particular, our proposed method outperforms Ho's method when dealing with different shoe sizes.","PeriodicalId":257666,"journal":{"name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128556031","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: 3

Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation 基于优化CNR和专家主观评价的计算机断层低对比度分辨率评价

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965951

Chengwei Li, Jie Sun, Luchen Liu, Peng Zhang, Wenli Liu, Pu Zhang

{"title":"Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation","authors":"Chengwei Li, Jie Sun, Luchen Liu, Peng Zhang, Wenli Liu, Pu Zhang","doi":"10.1109/CISP-BMEI48845.2019.8965951","DOIUrl":"https://doi.org/10.1109/CISP-BMEI48845.2019.8965951","url":null,"abstract":"This study aimed to optimize the evaluation procedure of contrast to noise ratio (CNR) on low-contrast resolution (LCR) phantom images of computed tomography (CT). Axial CT images of phantom Catphan 600 which contained the low-contrast module CTP515 and the uniformity module CTP486 were acquired from five 64-slices spiral CT scanners with the same scanning parameters. Through conjoint analysis of images of CTP515 and CTP486, two steps of optimization were added to the evaluation procedure to get the optimized CNR results. Meanwhile, four experts were invited to perform the subjective evaluation of the same low-contrast images. With the method of normalization, results gained by optimized CNR and the experts' subjective evaluation were compared to investigate the consistency of the two evaluation methods. According to the comparison of the normalized values, the optimized CNR gained by the method of two-stage average could be used as basis to assist tester achieve similar result compared to that from experts' subjective evaluation.","PeriodicalId":257666,"journal":{"name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129349784","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 Target Tracking Algorithm Based on Multi-Feature Fusion 基于多特征融合的目标跟踪算法

2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2019-10-01 DOI: 10.1109/CISP-BMEI48845.2019.8965691

Kun Liu, Hua Cai, Bingxue Wang, Guangqiu Chen, XueWei Wang

引用次数: 1