Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering最新文献

An Investigation into Audio Features and DTW Algorithms for Infant Cry Classification 婴儿哭声分类的音频特征和DTW算法研究

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375929

Xilin Yu, Laishuan Wang, Xian Zhao, Chunmei Lu, X. Long, Wei Chen

引用次数: 2

Study on Physical Strength Reserves of Diver after Underwater Delivery 水下交付后潜水员体力储备的研究

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375932

Fan Wei, Fu Xue Zhi, Liu Ping, Z. Yu

引用次数: 0

Encoding of Stimulus-driven and Intention-driven Actions in Monkey's Primary Motor Cortex 猴子初级运动皮层刺激驱动和意图驱动行为的编码

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375945

Keyi Liu, Wenjuan Hu, Yao Chen

引用次数: 0

Reference-free Correction for the Nyquist Ghost in Echo-planar Imaging using Deep Learning 利用深度学习对回波平面成像中奈奎斯特幽灵进行无参考校正

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375927

Xudong Chen, Yufei Zhang, H. She, Yiping P. Du

{"title":"Reference-free Correction for the Nyquist Ghost in Echo-planar Imaging using Deep Learning","authors":"Xudong Chen, Yufei Zhang, H. She, Yiping P. Du","doi":"10.1145/3375923.3375927","DOIUrl":"https://doi.org/10.1145/3375923.3375927","url":null,"abstract":"Echo-planar imaging suffers from Nyquist ghost (i.e., N/2 ghost) because of the imperfection of the gradient system and gradient delays. The phase mismatch between even and odd echoes can be eliminated by an extra reference scan without the phase encoding. However, due to the non-linear and time-varying local magnetic field changes or movement of the patients, the reference-based methods may have incorrect correction results. Other correction methods like parallel imaging reconstruction may suffer from the image noise amplification and signal-to-noise ratio penalty. In this study, a deep learning method is proposed to eliminate the phase error in k-space and correct the mismatch between even and odd echoes without reference scan and SNR penalty. The Fourier transform layer is introduced into the conventional U-Net structure, and the distortion-free images are directly reconstructed from the k-space EPI data. Turbo spin echo data and single-shot EPI data are tested using this network. The results show that this method has a good performance in ghost correction, and the ghost-to-signal ratio is effectively reduced compared to other state-of-the-art correction methods. The proposed deep learning method is reference-free and effective to correct Nyquist ghost in EPI, and can also combine with parallel imaging to achieve additional acceleration.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89913547","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

Control Algorithm for an Active Ankle-Foot Orthosis (AAFOs): Adaptative Admittance Control 主动踝足矫形器的控制算法:自适应导纳控制

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375931

Joseph Tsongo Vughuma, O. Verlinden

引用次数: 1

McBel-Plnc: A Deep Learning Model for Multiclass Multilabel Classification of Protein-lncRNA Interactions McBel-Plnc:蛋白质- lncrna相互作用多类多标签分类的深度学习模型

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375953

Natsuda Navamajiti, Thammakorn Saethang, D. Wichadakul

{"title":"McBel-Plnc: A Deep Learning Model for Multiclass Multilabel Classification of Protein-lncRNA Interactions","authors":"Natsuda Navamajiti, Thammakorn Saethang, D. Wichadakul","doi":"10.1145/3375923.3375953","DOIUrl":"https://doi.org/10.1145/3375923.3375953","url":null,"abstract":"One main function of long non-coding RNAs (lncRNAs) is to act as a scaffold facilitating multiple proteins to form complexes. Most of available prediction models for protein-RNA interactions, however, were proposed as a binary classifier, which limited on predicting the interaction between the non-coding RNAs and each individual RNA-binding protein (RBP). Hence, to predict if a lncRNA is acting as a scaffold, we consider this problem as a multiclass multilabel classification problem. To solve this problem, the high confident CLIP-seq data were selected from the POSTAR2 database with an augmentation of the data for the RBP classes with a small number of interacting lncRNAs. We then constructed a deep learning model for multiclass multilabel classification, called McBel-Plnc, based on the convolutional neural network (CNN) and long-short term memory (LSTM) using each of the five datasets randomly generated from the prepared data. Based on macro average, the test results showed the high precision of 0.9151 ± 0.0038 averaged from the five models with the lower recall of 0.5786 ± 0.0208. The small standard deviations confirmed the model stability. Comparing with iDeepE with a binary relevance method, iDeepE got the higher recall with the significantly lower precision (0.6912 and 0.1987, respectively). This result suggested that our model is competent to predict the protein-lncRNA interactions, especially with the lncRNAs targeted by multiple proteins. This suggested the potential to infer the insights of lncRNA functions and molecular mechanisms.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90296863","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

In Vitro Safety Assessment and Permeation Study of Topical Lidocaine Solution for Ocular Administration 利多卡因眼用外用溶液体外安全性评价及渗透研究

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375949

Sirikool Thamnium, V. Panapisal, J. Luckanagul

{"title":"In Vitro Safety Assessment and Permeation Study of Topical Lidocaine Solution for Ocular Administration","authors":"Sirikool Thamnium, V. Panapisal, J. Luckanagul","doi":"10.1145/3375923.3375949","DOIUrl":"https://doi.org/10.1145/3375923.3375949","url":null,"abstract":"In this research, topical lidocaine solution for ocular administration was assessed for biocompatibility as a non-invasive anesthetic drug delivery. The study aimed to investigate the cytotoxicity against human corneal epithelial cells (HCECs) and to evaluate drug permeation. In the case of cytotoxicity, HCECs were treated with drug solution, analyzed for percent viability. For permeation study, the modified-franz diffusion method was used to study permeation partition coefficient of lidocaine solution; moreover, the drug retained on the sclera was also determined. HCECs were treated with lidocaine solutions with the concentration range of 0.781 -100 g/L. Significantly decrease in cell viability with the concentration above 12 g/L was detected by Resazurin metabolic rate assay. The permeation coefficient of lidocaine hydrochloride solution could not be determined because of drug absence in the receptor chamber. The entire drug loaded remained in the donor chamber and adsorbed on the surface of sclera tissue. The results suggested that topical lidocaine solution showed reasonably safe and lidocaine drops did not absorbed through the sclera. In present study, local topical anesthetic delivery of lidocaine was considered safe for ophthalmologic treatment.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75171335","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

Improved Pathogen Recognition using Non-Euclidean Distance Metrics andWeighted kNN 利用非欧几里得距离度量和加权kNN改进病原体识别

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375956

M. Tharmakulasingam, Cihan Topal, Warnakulasuriya Anil Chandana Fernando, R. M. Ragione

{"title":"Improved Pathogen Recognition using Non-Euclidean Distance Metrics andWeighted kNN","authors":"M. Tharmakulasingam, Cihan Topal, Warnakulasuriya Anil Chandana Fernando, R. M. Ragione","doi":"10.1145/3375923.3375956","DOIUrl":"https://doi.org/10.1145/3375923.3375956","url":null,"abstract":"The timely identification of pathogens is vital in order to effectively control diseases and avoid antimicrobial resistance. Non-invasive point-of-care diagnostic tools are recently trending in identification of the pathogens and becoming a helpful tool especially for rural areas. Machine learning approaches have been widely applied on biological markers for predicting diseases and pathogens. However, there are few studies in the literature that have utilized volatile organic compounds (VOCs) as non-invasive biological markers to identify bacterial pathogens. Furthermore, there is no comprehensive study investigating the effect of different distance and similarity metrics for pathogen classification based on VOC data. In this study, we compared various non-Euclidean distance and similarity metrics with Euclidean metric to identify significantly contributing VOCs to predict pathogens. In addition, we also utilized backward feature elimination (BFE) method to accurately select the best set of features. The dataset we utilized for experiments was composed from the publications published between 1977 and 2016, and consisted of associations in between 703 VOCs and 11 pathogens.We performed extensive set of experiments with five different distance metrics in both uniform and weighted manner. Comprehensive experiments showed that it is possible to correctly predict pathogens by using 68 VOCs among 703 with 78.6% accuracy using k-nearest neighbour classifier and Sorensen distance metric.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85801831","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

Comprehensive Prediction and Interpretation of Viral Protein Subcellular Localization 病毒蛋白亚细胞定位的综合预测和解释

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375950

Xiyu Liu

引用次数: 0

Attitudinal Factors for Personal Health 个人健康的态度因素

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI: 10.1145/3375923.3375939

B. Voon, Joachim Engan Sigau, Joshua E.H. Voon, Grace E. H. Voon

{"title":"Attitudinal Factors for Personal Health","authors":"B. Voon, Joachim Engan Sigau, Joshua E.H. Voon, Grace E. H. Voon","doi":"10.1145/3375923.3375939","DOIUrl":"https://doi.org/10.1145/3375923.3375939","url":null,"abstract":"In this paper, the roles of attitudinal factors and fish were investigated to explore their relationships with the health performance of individuals. Specifically, the variables included were: Health Orientation (HO), Diet Orientation (DO), Life Satisfaction (LS), Attitude toward Fish (ATF), Fish Consumption (FC) Demographic variables and Health Performance (HP). A total of 300 respondents participated in the structured questionnaire survey. The data analyses included multi-item scale reliability, Chi-square, means, t-Test, ANOVA and multiple regression analyses. The influences of the various socio-demographic variables on attitudes and personal health were investigated accordingly. The attitudinal factors (i.e., Attitudes towards Health and Eating, Life Satisfaction and Attitudes towards Fish) had shown significant positive relationships with the personal health performance of individuals. The results suggested that the human factor engineering in biomedical sciences is essential. The attitudinal factors are potential determinants for personal health and should be managed effectively and efficiently.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87570382","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