Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology最新文献

Testing Methods to Minimise Range-shifting Time with Conservation Actions 用守恒动作最小化距离移动时间的测试方法

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340076

Daniyah A. Aloqalaa, J. Hodgson, D. Kowalski, Prudence W. H. Wong

{"title":"Testing Methods to Minimise Range-shifting Time with Conservation Actions","authors":"Daniyah A. Aloqalaa, J. Hodgson, D. Kowalski, Prudence W. H. Wong","doi":"10.1145/3340074.3340076","DOIUrl":"https://doi.org/10.1145/3340074.3340076","url":null,"abstract":"Climate change is a global threat to species, and their capability to invade and colonise new landscapes could be limited by the habitat fragmentation. Improving landscapes by adding additional resources to landscapes is an important initiative to restore habitats. Such improvements will be particularly important to promote species recovery in fragmented landscapes and to understand as well as facilitate range-shifting for species (also called an invasion). We use a recent method to approximate the time taken by species to invade landscapes and reach the new areas of suitable environment, which based on network flow theory. Based on this, we propose and test a new method that can help to compute the best locations in landscapes in order to restore habitat which leads to minimising the expected time taken by species to invade and reach targets. The new optimisation method has been compared with other two baseline methods. The evaluation conducted using real heterogeneous landscapes shows that the proposed method outperforms the competitive baseline methods in terms of proposing landscape modifications that minimise the expected time of the invasion process.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380126","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

Motion Capture based Dynamic Assessment of Hip Joint Cartilage Contact Pressure during Daily Activities 基于动作捕捉的日常活动中髋关节软骨接触压力动态评估

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340090

Xianqiang Liu, Xiaoyan Zhang, Sheng-hua Zhong

{"title":"Motion Capture based Dynamic Assessment of Hip Joint Cartilage Contact Pressure during Daily Activities","authors":"Xianqiang Liu, Xiaoyan Zhang, Sheng-hua Zhong","doi":"10.1145/3340074.3340090","DOIUrl":"https://doi.org/10.1145/3340074.3340090","url":null,"abstract":"Hip joint cartilage contact stresses are clinically relevant and necessary to improve our understanding of hip osteoarthritis. Therefore, the objective of this paper is to assess the contact pressure changes during series of dynamic postures such as slow walking, normal walking, fast walking, descending stairs and ascending stairs. A standard anatomical model is built from CT images and twenty kinematical models are constructed using a motion capture system. A two-step adjusted-iterative closest point method is proposed to register the anatomical model with the motion capture recorded kinematical model. After the registration, acetabular cartilage contact pressure is analyzed by a finite element method. According to simulation results among twenty subjects, the contact pressure distribution of walking and stairs movements are mostly uniform during a cycle of movement. The peak of contact pressure appears at the transition location from superior to posterior. The peak of contact pressure happens almost at the time of heel-strike. The contact area is changing from anterior to superior-posterior and ending at anterior for all the activities. These results demonstrate the trends for normal hip contact pressure in cartilage during daily activities. These results also provide guidance for the diagnosis of osteoarthritis. The location at transition from superior to posterior should be paid more attention in the diagnosis of osteoarthritis. And the osteoarthritis patient should try to avoid the movement of ascending and descending stairs.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126143999","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

Predicting Essential Genes of Escherichia coli based on Clustering Method 基于聚类方法的大肠杆菌必需基因预测

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340080

Xiao Liu, Ting He, Zhirui Guo, Meixiang Ren

引用次数: 0

Sketch-based Registration of 3D Cine MRI to 4D flow MRI 基于草图的三维电影MRI与四维流动MRI配准

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340094

Samin Sabokrohiyeh, Kathleen Ang, M. Elbaz, F. Samavati

{"title":"Sketch-based Registration of 3D Cine MRI to 4D flow MRI","authors":"Samin Sabokrohiyeh, Kathleen Ang, M. Elbaz, F. Samavati","doi":"10.1145/3340074.3340094","DOIUrl":"https://doi.org/10.1145/3340074.3340094","url":null,"abstract":"Cardiac 4D Flow magnetic resonance imaging (4D Flow MRI) is a recent powerful technology that uniquely enables in-vivo acquisition of time-varying volumetric blood flow velocity field information in the three spatial dimensions over the cardiac cycle. Hence, 4D Flow MRI has emerged as an important medical diagnostic tool for evaluation of blood flow alteration in the heart chambers and great vessels. A critical requirement for accurate quantification and visualization of blood flow within the different heart chambers (e.g. the left ventricle (LV)) is the accurate anatomical context of cardiac chambers, which is missing in the 4D Flow MRI data. To tackle this problem, recent studies have proposed fusing the 4D Flow data with a complementary anatomical MRI scan (short axis 3D (multiple 2D slices) cine SSFP) through registration. However, since image registration is a non-linear optimization problem, the registration is slow and may not be accurate (e.g. the left ventricle can be incorrectly aligned to the right ventricle). To improve the registration performance and accuracy, localization techniques can be used. In this paper, we propose two sketch-based methods for effective localization of 4D Flow MRI to 3D cine MRI registration. We evaluate these methods and compare them with other localization methods.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115316152","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

Comparing Deep Learners with Variability Grading for Cancer Detection on Limited Histopathology Dataset 在有限的组织病理学数据集上比较深度学习与可变性分级的癌症检测

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340083

P. Furtado

引用次数: 0

ECG Denoising by using FIR and IIR Filtering Techniques: An Experimental Study 基于FIR和IIR滤波技术的心电信号去噪实验研究

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340088

Nancy Betancourt, Marco J. Flores-Calero, Carlos Almeida

引用次数: 5

Computer Aided Detection of Normal and Abnormal Heart Sound using PCG 心音正常与异常的PCG计算机辅助检测

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340086

Muhammad Fahad Khan, Maliha Atteeq, Adnan N. Qureshi

{"title":"Computer Aided Detection of Normal and Abnormal Heart Sound using PCG","authors":"Muhammad Fahad Khan, Maliha Atteeq, Adnan N. Qureshi","doi":"10.1145/3340074.3340086","DOIUrl":"https://doi.org/10.1145/3340074.3340086","url":null,"abstract":"A PCG (phonocardiogram) is a method of plotting of heart sounds and murmurs during a cardiac cycle, with the help of machine called phonocardiograph. A PCG can be visually represented. PCG recordings comprise of bio-acoustic statistics indicating the functional condition of the heart. Intelligent and automated analysis of the PCG is therefore very important not only in detection of cardiac diseases but also in monitoring the effect of certain cardiac drugs on the condition of the heart. PCG analysis includes segmentation of the PCG signal, feature extraction from the segmented signal and then classification. We used Kaggle data sets [10] and have extracted feature sets of different domains i.e. Time domain, frequency domain and statistical domain. We used 8 features of 118 recordings and train our different classifiers (Bagged Tree, subspace Discriminant, Subspace KNN, LDA, Quadratic SVM and Fine Tree) to obtain and compare accuracy and results. We use only two classes for classification i.e. normal and abnormal. Out of these 6 classifiers Bagged tree gave highest accuracy of 80.5%.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124373318","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: 6

S1 and S2 Heart Sound Recognition using Optimized BP Neural Network 基于优化BP神经网络的S1和S2心音识别

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340097

Xue Chundong, Long Qinghua, Zhou Jing

{"title":"S1 and S2 Heart Sound Recognition using Optimized BP Neural Network","authors":"Xue Chundong, Long Qinghua, Zhou Jing","doi":"10.1145/3340074.3340097","DOIUrl":"https://doi.org/10.1145/3340074.3340097","url":null,"abstract":"For the problems of Back Propagation(BP) neural network relying on initial weights, slowing convergence and easily falling into local extremum, the development ability of standard Artificial Bees Colony algorithm is weak, local search ability is poor, etc, propose an improved artificial bees colony algorithm to optimize BP neural network for fundamental heart sound(FHS) recognition. A novel improving following bees global search and probability selection algorithm, applying the optimized BP neural network to the FHS recognition is proposed. For the problems of heart sound contain noisy and Mel Frequency Cepstrum Coefficient(MFCC) feature parameters of heart sound signal are not effective under the condition of low signal-to-noise ratio(SNR). Propose an improved method to extract MFCC parameters, experimental results show that heart sound improved Mel Frequency Cepstrum Coefficient(IMFCC) feature is superior to MFCC and homomorphic envelope(Homo-Env) feature in the same case of classifier. In the same feature parameters, the improved Artificial Bees Colony algorithm optimization of BP neural network recognition accuracy has a greater degree of improvement, comparing with the classical BP, Random forest, support vector machine, k-Nearest Neighbor algorithm.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130576774","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

Automated Spore Counting using Morphology and Shape 使用形态学和形状的自动孢子计数

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340085

Punnarai Siricharoen, U. Humphries

引用次数: 0

Magnetically Targeted Drug Delivery System through Imaging Technology PID Feedback Control and MATLAB 基于成像技术、PID反馈控制和MATLAB的磁靶向给药系统

Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology Pub Date : 2019-05-29 DOI: 10.1145/3340074.3340093

Faizan Saifullah, H. Inam, M. Ali, Umar Ansari

{"title":"Magnetically Targeted Drug Delivery System through Imaging Technology PID Feedback Control and MATLAB","authors":"Faizan Saifullah, H. Inam, M. Ali, Umar Ansari","doi":"10.1145/3340074.3340093","DOIUrl":"https://doi.org/10.1145/3340074.3340093","url":null,"abstract":"Conventional dose such as capsules which are used traditionally have severe side effects including raising of blood sugar level by dissolution of drug in blood, can be overcome by replacing traditional drug delivery with specifically targeted drug delivery system. The main concept of using magnetic levitation for drug delivery is to deliver the drug to a specific point via magnetic actuation and imaging technique, magnetic material encoated by drug can rupture the artery by getting strongly attracted towards externally applied magnetic field. By taking magnetically levitated drug to the targeted area, it will minimize the risk of rupturing of the artery. Dispersion of drug will be minimized as drug-coated core will be under influence of applied electromagnetic field, drug can be released by altering electromagnetic fields. In this study, one-dimensional (1D) force system is used. Two forces counter each other i.e. electromagnetic force and gravitational force. Addition of Ki to Kp and Kd speeds up the motion when reaching to the targeted set point, blob stays in levitated condition around the set point thus stability is increased by the addition of Ki but oscillation are still present that hinders the stability of the system. Exponential function is introduced to decrease the power of Kp, in result, it supplies the power when the error is large, power gets zero when error is reduced to zero. In this stable system, Kp and Kd gain are applied to minimize the oscillations and keep the blob levitated at targeted set point.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132398502","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