D. Sueaseenak, Thunchanok Uburi, Paphawarin Tirasuwannarat
{"title":"Optimal Placement of Multi-Channels sEMG Electrod for Finger Movement Classification","authors":"D. Sueaseenak, Thunchanok Uburi, Paphawarin Tirasuwannarat","doi":"10.1145/3168776.3168802","DOIUrl":"https://doi.org/10.1145/3168776.3168802","url":null,"abstract":"This research aims to propose the optimal electrode positions for surface EMG by using a modern gesture control device called MYO armband. Seven healthy volunteers participated in this research. The sEMG signal was collected form three different electrode positions in the superficial forearm muscles positions such as Extenser digitorum muscle, Flexor digitorum superficialis muscle, Palmaris longus muscle during finger movements 5 gesture including flexion thumb, index, middle, ring and little. Waveform length (WL) is a feature extraction method, EMG features were represented in scatter diagrams to explain their behaviors. The well-known quantitative parameters used to evaluate the performance of EMG feature included scattering criterion. The result showed optimal position to obtain the best quality surface EMG recording by MYO armband for finger movement classification. The position is a middle of forearm length area.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"423 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115997676","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}
{"title":"BreastCancerMine: A Comprehensive Biological and Database for Breast Cancer","authors":"Y. Zhang, Jiannan Chen, Yi Zhao","doi":"10.1145/3168776.3168778","DOIUrl":"https://doi.org/10.1145/3168776.3168778","url":null,"abstract":"BreastCancerMine is an integrated breast cancer database and analysis platform developed for large and complex biological and clinical data sets. It can help researchers to analysis data from multiple databases quickly and easily, and then, free them from the annoying and time-consuming data management. Designed for integrative analysis, it can be accessed through a user-friendly web interface. This central data warehousing system retrieves biological and clinical data from multiple databases and presents them in an interactive and uniformed way. BreastCancerMine will enable users to access, visualize and analysis multiple types of data and to generate new ideas intuitively for breast cancer research.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128770192","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}
L. Santos, N. Carbonaro, A. Tognetti, L. González, J. Fraile, J. Pérez-Turiel, E. de la Fuente
{"title":"Characterization of Hand Movements using a Sensing Glove in Hand Assisted Laparoscopic Surgery","authors":"L. Santos, N. Carbonaro, A. Tognetti, L. González, J. Fraile, J. Pérez-Turiel, E. de la Fuente","doi":"10.1145/3168776.3168793","DOIUrl":"https://doi.org/10.1145/3168776.3168793","url":null,"abstract":"The past thirty years have seen increasingly rapid advances in the field of laparoscopic surgery, in part because of the use of robots. A well-known example is the da Vinci surgical system. However, far too little attention has been paid to Hand Assisted Laparoscopic Surgery (HALS), a surgery in which the surgeon introduces the non-dominant hand into the abdomen of the patient. The risk of collision between the hand of the surgeon and the tool moved by the robot is the reason why these robots for laparoscopic surgery are not appropriate for HALS. On the other hand, in recent years, there has been an increasing interest in wearables, which have been introduced in our daily life. This interest and the lack of surgery robots for HALS are the reasons to develop a sensing glove which co-works with a collaborative robot in this kind of surgery. The aim of this paper is to study the use of a sensing glove which will provide information of the movements of the surgeon's hand to the collaborative robot. This information determinates the actions that the robot will carry on. The first step was to define different movements of the hand which could be identified. An algorithm identifies these movements using the data given by the sensing glove. For the purpose of algorithm accuracy measurement, 4 persons wearing the sensing glove made a sequence with different movements. The evidence from this study suggests that a sensing glove can be used to send information of the movements of the surgeon's hand to a collaborative robot during a HALS.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114338566","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}
I. Rodríguez-Rodríguez, M. A. Zamora, J. Rodríguez
{"title":"Towards a New Diabetes Mellitus Management by Means of Novel Biosensors and Information and Communication Technologies","authors":"I. Rodríguez-Rodríguez, M. A. Zamora, J. Rodríguez","doi":"10.1145/3168776.3168795","DOIUrl":"https://doi.org/10.1145/3168776.3168795","url":null,"abstract":"Type 1 Diabetes Mellitus (DM1) is a chronic disease characterized by fast changes in blood glucose (BG) due to a lack of insulin production. This forces the patient to check his BG several times per day in order to infer a trend and predict future values, thus making a decision about the insulin dosage. However, novel biosensors and gadgets offer, along with recent advances in information and communication technologies (ICT), a new perspective in DM1 management. In this work, an analysis of such perspective is presented, thoroughly describing all the elements involved as well as the challenges to be overcome in forthcoming DM1 smart management systems.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114781293","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}
{"title":"Correlation between Cobb Angle and Spinous Process Angle Measured from Ultrasound Data","authors":"Junhua Zhang, Hongjian Li, Bo Yu","doi":"10.1145/3168776.3168783","DOIUrl":"https://doi.org/10.1145/3168776.3168783","url":null,"abstract":"The correlation between the Cobb angle and spinous process angle (SPA) measured from ultrasound data was analyzed in this study. The three-dimensional (3D) spine model was reconstructed by using a freehand 3D ultrasound imaging system. With non-planar volume rendering, the Cobb angle and SPA were measured by manually detecting anatomical landmarks of the spine. A thoracic spinal phantom set in 24 different poses was used in the experiment. For each spinal curve, the Cobb angle and SPA were measured twice by three observers, respectively. Results showed that the correlation coefficients between these two measurements were 0.92 and 0.78 for the curves with two-dimensional (2D) and 3D deformity, respectively. Results indicate that the SPA has high correlation with the Cobb angle measured from ultrasound data, especially for the curves with 2D deformity. Therefore, SPA may be used as an alternative parameter to the Cobb angle for scoliosis assessment in an ultrasound imaging system.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116920350","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}
Lewis A. Carney, Josiah Kane, Jonathan F. Mather, Asem A. Othman, A. G. Simpson, Aryana Tavanai, Richard A. Tyson, Yiqun Xue
{"title":"A Multi-Finger Touchless Fingerprinting System: Mobile Fingerphoto and Legacy Database Interoperability","authors":"Lewis A. Carney, Josiah Kane, Jonathan F. Mather, Asem A. Othman, A. G. Simpson, Aryana Tavanai, Richard A. Tyson, Yiqun Xue","doi":"10.1145/3168776.3168800","DOIUrl":"https://doi.org/10.1145/3168776.3168800","url":null,"abstract":"We have developed a Multi-Finger Touchless fingerprinting system that can be deployed on most smartphones, capturing prints with only the rear camera and the LED flash. These prints are interoperable with conventional touch-based print databases. This allows fingerprint identification to be rolled out to the general population as a software only solution. This system features an automatic image capture system where we automatically detect each finger and enhance each finger's corresponding image to resemble a touch-based print. From start to finish the capture time is approximately 6 seconds with a favourable deployment footprint of under 10MB. On an initial test database of 1400 touchless fingerprints and 6600 touch-based fingerprints, we achieved a touchless-touch match rate of 98.6% with a 0.0% false accept rate.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117171160","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}
Fazlullah Khan, S. Akbar, A. Basit, I. Khan, Hamza Akhlaq
{"title":"Identification of Anticancer Peptides Using Optimal Feature Space of Chou's Split Amino Acid Composition and Support Vector Machine","authors":"Fazlullah Khan, S. Akbar, A. Basit, I. Khan, Hamza Akhlaq","doi":"10.1145/3168776.3168787","DOIUrl":"https://doi.org/10.1145/3168776.3168787","url":null,"abstract":"Cancer is a serious disease and occurs the cause of death around the world. Various traditional methods i.e. targeted therapy chemotherapy and radiation based therapies have been extensively used by the investigators but still it is considered ineffective due to its high cost, side effects and Vulnerability towards finding errors. Therefore; an automatic and efficient model highly desirable to identify anticancer peptides. In this paper, the peptides sequences are formulated using three numerical descriptors namely; Split amino acid composition, dipeptide composition and Pseudo amino acid composition. The predicted outcomes of the proposed method is evaluated using two different nature classification learners, i.e., instance based k-nearest neighbor and Support vector machine. Our proposed model achieved the an accuracy of 93.31% sensitivity of 86.23% and specificity of 98.06% and MCC of 0.86, the success rate shows the remarkable improvement in performance matrices in comparison with existing techniques in the literature. It is observed that our proposed method will be useful for the investigators in the area of drugs design and proteomics.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525532","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}
{"title":"An Electrooculogram Signal Based Control System in Offline Environment","authors":"Babita Thakur, P. Syal, P. Kumari","doi":"10.1145/3168776.3168794","DOIUrl":"https://doi.org/10.1145/3168776.3168794","url":null,"abstract":"Human Machine Interface (HMI) application based on Electrooculogram (EOG) signals for converting user intention into control command finds promising scope in development of prosthetic devices for persons suffering from motor impairment. In the present work, the EOG signals based control system has been investigated in offline environment. The signal has been acquired through g.LADYbird active electrodes placed at distinct positions on human face around the eyes. A classifier model has been trained by feature matrix which encapsulates the time domain features extracted by using Dual Tree Complex Wavelet Transform (DTCWT). Linear Support Vector Machine (SVM) classifier has been used to develop a classified trained model by using 240 training data sets recorded from 12 healthy subjects. The MATLAB simulation showed 99.2% classification accuracy for horizontal eye movement in two directions, left and right. The classified signals have been converted into commands through Arduino to grasp and release an object by prosthetic myoelectric hand.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132816285","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}
{"title":"Chronic Exposure of Cisplatin Induces GRP78 Expression in Ovarian Cancer","authors":"Tai‐An Chen, Shan Xu","doi":"10.1145/3168776.3168803","DOIUrl":"https://doi.org/10.1145/3168776.3168803","url":null,"abstract":"Glucose regulated protein 78 (GRP78) is a type of molecular chaperone. Previous research indicates that it may possibly be induced by exposure of cisplatin in ovarian cancer and related to survival rate. Methods: The expression of GRP78 in HOSE cells and ovarian cancer cells are tested by Western Blotting. Kaplan Meier Analysis is utilized to show the relationship between GRP78 expression and survival rate of patients who receives cisplatin treatment. Both acute cisplatin treatment and chronic exposure to cisplatin are carried out on ovarian cancer cell lines, followed by the subsequent Western Blotting. Results: GRP78 is expressed in both HOSE cells and Ovarian Cancer Cells, but the HOSE cell line shows evidently less expression of GRP78 than the tested ovarian cancer cell lines. Kaplan Meier Analysis shows that higher GRP78 expression level correlates to lower 5-year progression free survival rate. Chronic exposure to cisplatin induces GRP78 expression. Conclusions: GRP78 is expressed in both HOSE cells and ovarian cancer cells. The hypothesis is that efficient metabolism of cancer cells, which relates to accumulation of unfolded polypeptides in the ER, may be responsible for the over-expression of GRP78 of some ovarian cancer cell lines. Kaplan Meier Analysis suggests an important role of GRP78 in cancer progression and the potential of GRP78 as an ovarian cancer diagnosis marker. Chronic exposure to cisplatin induces GRP78 may increase the chemoresistance that GRP78 generates. Why acute cisplatin treatment cannot induce GRP78 needs further researches.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124314902","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}
{"title":"Decision Support System Based on Robust Design Methods","authors":"A. Deaconescu","doi":"10.1145/3168776.3168796","DOIUrl":"https://doi.org/10.1145/3168776.3168796","url":null,"abstract":"Situations where a certain variability of the quality characteristics of a product is observed, require the detection of the causes generating this instability. These causes however, can be numerous, and an analysis of their effects can be cost and time consuming. The greater the number of causes influencing the quality of a product, the more compelling the application of swift and less costly methods of analysis. The paper presents a computer-based intelligent decision support system designed to achieve the optimization of the lapping of plane surfaces, by the Taguchi's method of arrays of experiments. The steps to be followed for solving the issue of optimization are described, the most important ones concerning the defining of the targeted objective, establishing the factors influencing the process and their respective levels, selection of the optimum array of experiments, processing of the results and determining the optimum configuration of the levels of the considered factors.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127507541","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}