2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)最新文献

Rare Association Rules Mining of Diabetic Complications Based on Improved Rarity Algorithm 基于改进罕见度算法的糖尿病并发症罕见关联规则挖掘

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854639

Qiao Pan, Lan Xiang, Yanhong Jin

{"title":"Rare Association Rules Mining of Diabetic Complications Based on Improved Rarity Algorithm","authors":"Qiao Pan, Lan Xiang, Yanhong Jin","doi":"10.1109/ICBCB.2019.8854639","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854639","url":null,"abstract":"Although the frequent pattern mining has attracted widespread attention of scholars, it is undeniable that the rare pattern mining plays a significant role in many fields, such as medical, financial, and scientific fields. And it is more valuable to study the rare pattern mining, because it tends to find some unknown and unexpected associations. There are some previous algorithms of rare itemsets mining, however, Arima spends much time and Rarity wastes much space. So based on the Rarity algorithm, this paper presents an improved top-down approach to efficiently mine all rare itemsets and their association rules, which uses the graph structure to indicate all combinations of existing items in the database, defines a pattern matrix to record all itemsets and the support_count, and combines the hash table to accelerate support calculation to quickly find all rare itemsets, and then generate all patterns to choose useful rules according to their interesting rate. In the experiment, this paper uses the real diabetic clinical data to verify this improved approach and mines some useful rules among the diabetic complications. Moreover, compared with the two methods mentioned above, this method decreases much time and space complexity in the association rules mining.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125444963","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: 5

Stability of MRI Radiomic Features of the Hippocampus: An Integrated Analysis of Test-Retest Variability 海马体MRI放射学特征的稳定性:测试-再测试变异性的综合分析

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854668

Zhuoran Li, Huichuan Duan, Kun Zhao, Yanhui Ding, Yuanjie Zheng

引用次数: 1

Research on Localization of sEMG Detection Sites Across Individual Upper Limbs 个体上肢肌电信号检测位点的定位研究

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854631

Yunlong Wang, Xueliang Bao, Yuxuan Zhou, Xiaoying Lv, Zhigong Wang

引用次数: 0

Prediction Model of Chilling Injury Combined with Quadratic-Orthogonal-Rotation-Combination Design Technique for Postharvest Cucumber Fruit during Cold Storage 结合二次-正交-旋转-组合设计技术的黄瓜采后冷库冷害预测模型

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854633

Min Zhang, Jiale Li, Wenting Ai, Yuxuan Zhao, Wei Liu

{"title":"Prediction Model of Chilling Injury Combined with Quadratic-Orthogonal-Rotation-Combination Design Technique for Postharvest Cucumber Fruit during Cold Storage","authors":"Min Zhang, Jiale Li, Wenting Ai, Yuxuan Zhao, Wei Liu","doi":"10.1109/ICBCB.2019.8854633","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854633","url":null,"abstract":"Cucumber fruit is susceptible to chilling injury (CI) which results in the cellular structure damage of fruit during low temperature storage. However, visual symptoms of chilling injury may not be observed when they were taken out from low temperature. In this study, the critical value of chilling injury for postharvest cucumber fruit during low temperature storage was investigated. The thermal conductivities of cucumber fruit were determined using a specifically designed thermal conductivity probe system. Combined with the quadratic-orthogonal-rotation-combination design technique, a prediction model based on the chilling injury detection indicators from the ratio of thermal conductivity of cucumber fruit was developed and the critical value of chilling injury detection indicator was identified. Verification test was shown that the suggested prediction model was suitable to estimate safe storage temperature and safe storage time by calculating the critical value for preventing chilling injury. Furthermore, it might be beneficial to provide the potential application of method for chilling injury detection in other cold sensitive fruit.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616102","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 Algorithm for Sleep Apnea and Hypopnea Detection 睡眠呼吸暂停和低呼吸暂停检测的实时算法

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854636

Yuhan Dong, Jinbo Kang, Rui Wen, Changmin Dai, Xingjun Wang

引用次数: 3

Estimation of the Equilibrium GC Content of Human Genome 人类基因组平衡GC含量的估算

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854660

Jianrei Sun, Shi-Meng Ai, H. Luo, Bo Gao

引用次数: 0

Clu-RNN: A New RNN Based Approach to Diabetic Blood Glucose Prediction 基于RNN的糖尿病血糖预测新方法

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854670

Yuhan Dong, Rui Wen, Zhide Li, Kai Zhang, Lin Zhang

{"title":"Clu-RNN: A New RNN Based Approach to Diabetic Blood Glucose Prediction","authors":"Yuhan Dong, Rui Wen, Zhide Li, Kai Zhang, Lin Zhang","doi":"10.1109/ICBCB.2019.8854670","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854670","url":null,"abstract":"Diabetes is a kind of metabolic disease characterized by increased chronic blood glucose (BG) and may introduce a series of severe complications in a long run. To facilitate health management for diabetic patients, continuous monitoring and prediction of BG concentration are particularly important. Among the popular data driven solutions to BG prediction, machine learning methods, e.g. SVR, RNN and etc., utilize BG data of multiple patients to train the prediction model. However, all the training data sharing the same parameters may not be able to capture the characteristics of BG fluctuation effectively. Motivated by the fact that different subgroups of diabetic patients possess different BG fluctuation patterns, we propose a new BG prediction approach referred to as Clu-RNN based on recurrent neural networks (RNN) by incorporating a pre-process of clustering into the classical RNN. Numerical results suggest that the proposed Clu-RNN approach utilizes more than one cluster for both type I and type II diabetes and has gained improvements compared with support vector regression (SVR) and other RNN methods in terms of BG prediction accuracy.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350946","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: 20

Establishment and Simulation of 3D Gastric Impedance Detection Model 胃阻抗三维检测模型的建立与仿真

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-21 DOI: 10.1109/ICBCB.2019.8854671

Zhangyong Li, Shangzhi Xiang, Zhaoyu Liu

{"title":"Establishment and Simulation of 3D Gastric Impedance Detection Model","authors":"Zhangyong Li, Shangzhi Xiang, Zhaoyu Liu","doi":"10.1109/ICBCB.2019.8854671","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854671","url":null,"abstract":"This paper builds a three-layer electrical impedance imaging (EIT) model. The changes in gastric impedance information in gastric contents and gastric volume of different conductivity were studied in different electrode excitation models. In this paper, the human abdominal cavity model was constructed by using COMSOL MULTIPHYSICS simulation software, and a 48-electrode system was constructed on the outer layer of the model. In the experiment, two models of relative electrode excitation and adjacent electrode excitation were established, and the simulated gastric emptying process was simulated. Secondly, by measuring the voltage and analyzing the data. Finally, the system is evaluated by using the boundary measurement voltage sensitivity δ and the boundary voltage measurement dynamic range Ũ. The analysis shows that the relative electrode excitation model has lower sensitivity and better signal-to-noise ratio for system detection and stability. At the same time, it is proved that more gastric emptying information can be obtained through the three-layer EIT model, which can effectively reflect different relevant impedance information of gastric contents.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128453918","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

Prototype System Design and Experimental Validation of Gait-Oriented EMG Bridge for Volitional Motion Function Rebuilding of Paralyzed Leg 面向步态的瘫痪腿意志运动功能重建肌电桥原型系统设计与实验验证

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-01 DOI: 10.1109/ICBCB.2019.8854632

Z. Bi, Xueliang Bao, Haipeng Wang, Xiaoying Lv, Zhigong Wang

{"title":"Prototype System Design and Experimental Validation of Gait-Oriented EMG Bridge for Volitional Motion Function Rebuilding of Paralyzed Leg","authors":"Z. Bi, Xueliang Bao, Haipeng Wang, Xiaoying Lv, Zhigong Wang","doi":"10.1109/ICBCB.2019.8854632","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854632","url":null,"abstract":"The voluntary participation of paralyzed patients is crucial for the neuromuscular electrical stimulation (NMES) therapy. In this paper, an NMES technique based on surface electromyogram (sEMG) communication between healthy side and affected side of hemiplegic patients, called gait-oriented EMG bridging (EMGB), is proposed to realize the motion of paralyzed leg under the stimulation of the volitional sEMG signal of healthy leg. The sample entropy algorithm is used to detect the onset and offset of agonist sEMG in the healthy side, which triggers or ends the recording of agonist sEMG. The MAV/NSS co-modulation (MNDC) algorithm is used to modulate a various frequency and pulse width of stimulation according to the recording agonist sEMG. The stimulation is triggered by the onset of antagonistic sEMG in healthy side to stimulate the target affected muscles. A prototype gait-oriented EMGB system was developed for real time control of dorsiflexion and plantarflexion in sitting position. The experimental results indicated that alternate ankle motions can be achieved successfully. The angle trajectory of ankle can be reproduced alternately with a latency within 300 ms and a maximum cross-correlation coefficient > 0.82.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089379","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 the Method of Blood Microscopic Multi-field Image Stitching 血液显微多场图像拼接方法的研究

2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB) Pub Date : 2019-03-01 DOI: 10.1109/ICBCB.2019.8854666

Zhangyong Li, Hui Liu, Mengxi Ju, Fuqu Chen, Xinwei Li

引用次数: 0