{"title":"IBIOMED 2018 Welcome Message from the Chair of iBioMed","authors":"","doi":"10.1109/ibiomed.2018.8534822","DOIUrl":"https://doi.org/10.1109/ibiomed.2018.8534822","url":null,"abstract":"","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"296 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131843685","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":"Development of Learning Support System on Auscultation for Nurse Using Virtual Reality","authors":"Megumi Chiba, K. Hamamoto","doi":"10.1109/IBIOMED.2018.8534826","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534826","url":null,"abstract":"Auscultation is carried out as a daily basic work of a nurse, however, it is difficult to differentiate between normal sound and abnormal sound. Therefore, learning of auscultation is an important subject for a student in a nursing department. A patient simulator is usually used for the learning of auscultation. Although the simulator can provide real sound at its accurate position, it is very expensive and too large to be moved. In this research, a virtual patient simulator that solves the problems of a conventional patient simulator is proposed. The virtual patient simulator creates a patient model in a virtual environment. The simulator can also present a sense of touch with the patient model using a haptic device. A user can learn an accurate position for auscultation, corresponding sound of the position and differentiation between normal sound and abnormal sound. As a result of subjective evaluation of the simulator by students and staffs in a nursing department, it is suggested that the simulator is effective for a novice.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123496685","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}
Fadel Muhammad Ali, Achmad Fauzi Rachmani, F. Zulkifli
{"title":"Octagonal Ultrawideband Antenna with Circular Notch for Microwave Imaging","authors":"Fadel Muhammad Ali, Achmad Fauzi Rachmani, F. Zulkifli","doi":"10.1109/IBIOMED.2018.8534774","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534774","url":null,"abstract":"In recent years, microwave imaging is considered to be the solution of cancer detection. One of the important component in microwave imaging is antenna. A microstrip octagonal antenna with circular notch and modified ground structure is presented in this paper. In simulation the frequency range of the antenna from 2.3 to 12 GHz with coefficient reflection≤-10 dB is achieved. The antenna has physical dimension of 47 x 41 x 1.6 mm. As substrate, antenna use epoxy (FR-4) with dielectric constant of 4.6 and dielectric loss tangent of 0.025. In addition, the fabricated antenna has frequency range 2.16-12 GHz. But, the proposed antenna meets the criteria commonly used for microwave imaging.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219792","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}
A. Barlian, Regina Giovanni, U. A. Wibowo, H. Judawisastra, N. L. W. Ekayanti, Netty Paramita Pulungan
{"title":"Directed Differentiation of Human Mesenchymal Stem Cells into Chondrocytes Using Micropatterning Method","authors":"A. Barlian, Regina Giovanni, U. A. Wibowo, H. Judawisastra, N. L. W. Ekayanti, Netty Paramita Pulungan","doi":"10.1109/IBIOMED.2018.8534833","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534833","url":null,"abstract":"The necessity of chondrocytes can be obtained by inducing Mesenchymal Stem Cells (MSCs) using internal and external stimuli. In this research, MSC was directed to be differentiated on modified substrate and L-ascorbic acid addition. The objective of this research is to direct human MSCs (hMSCs) to become chondrocytes on modified substrates by qualitative and quantitative evaluation using several spesific markers. Mesenchymal stem cells were obtained from adipose tissue (ADMSC). Cell stemness was evaluated using flow cytometry and multipotency analysis. Micropatterned substrate was developed using Parafilm™ by doing mechanical method and pith size was measured after getting Scanning Electron Microscope (SEM) image and analyzedusing imageJ. The cells were seeded in 2.4× 104 cells/mL and incubated for 12 days. The expression of Collagen II was observed by immunocytochemistry method and sulphated-GAG using Alcian Blue Staining on day 6 and day 12. Cell morphology was observed using SEM imaging. ADMSCs were successfully obtained from adipose tissue and complied the mesenchymal stem cellscriteria. The micropatterned substrate was well developed using Parafilm™ and could be used to modify the substrate because ADMSCs were only attached on pith (P) that was not covered by Parafilm™. ADMSCs expressed Collagen II and GAG on day 6 and 12 of observation.The cells morphology also confirmed that chondrogenicdifferentiation was affected by seeding density because ADMSCs were found in more rounded shape and also expressed more Collagen II in narrow pith than in widepith.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124733088","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":"Screening of Indonesian Phytochemicals as Adenylate Kinase 2 Inhibitor for Cancer Therapy.","authors":"Dhea Qiasita, D. Indarto, Y. H. Suselo","doi":"10.1109/IBIOMED.2018.8534803","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534803","url":null,"abstract":"Adenylate Kinase-2 (AK2) activity increases in cancer cells which results in high demand of energy supply through anaerobic metabolism. Bis(adenosine)-5’- pentaphosphate (Ap5a) is a synthetic compound that is able to inhibit AK family in cancer cells but it is still under development. There are 9,600 Indonesian phytochemicals which are predicted to have pharmacological activities and have been recorded in a database. Therefore this study aimed to identify Indonesian phytochemicals that can inhibit AK2 activity for cancer therapy. This was a bioinformatics study which used a molecular docking method. Because 3D structure of AK2 has not been established yet, MODELLER 9.19 program was used to create the AK2 model using AK1 template (PDB code: 1Z83). Ap5a, the standard compound, was obtained from zinc database (access code 96006032). Indonesian herbal plants which were registered in HerbalDB, had 3D structure in the PubChem database and met Lipinski’s criteria becameresearch samples. The binding energy of Ap5a/phytochemicals with AK2 was determined using the AutoDock Vina 1.5.6 program and the visualization of docking results was doneusing PyMol 1.7.4 program. BR-Xanthone A, Thwaitesixanthone, Chitranone, Sojagol, Withanolide D, Dehydrodeguelin, MLS001143540, (-)-sesamin, and strigol had the lowest docking score but only BR-Xanthone A (−11,30) and Thwaitesixanthone (−11,00) had lower binding energy than Ap5a. All nine phytochemicals bond to the binding sites of AK2. Similar conformation to Ap5a was observed in seven phytochemicals (BR-Xanthone A, Thwaitesixanthone, Chitranone, Withanolide D, MLS001143540, (-)-sesamin, and strigol). In conclusion, BR-Xanthone A is the most potential candidate for AK2 inhibitor in silico. This study proposes that BR-Xanthone A can have its anticancer property, as globally known, by inhibitingAK2.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124509232","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}
Ilena Gabriella, Kamarga Stella A., Setiawan Agung W.
{"title":"Early Detection of Tuberculosis using Chest X-Ray (CXR) with Computer-Aided Diagnosis","authors":"Ilena Gabriella, Kamarga Stella A., Setiawan Agung W.","doi":"10.1109/IBIOMED.2018.8534784","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534784","url":null,"abstract":"In this paper, a Computer-aided Diagnosis (CADx) system based on image processing is proposed to assist doctors and radiologists in interpreting Chest X-rays (CXR) for early detection of lung Tuberculosis (TB). CXR can indicate lung abnormalities including TB. However, the interpretations of CXR might vary from one individual to another. It is important to accurately and quickly detect TB because early treatment will prevent more infections and fatal effects from happening. The steps that were performed by the proposed system consisted of preprocessing, segmentation, feature extraction, and classification. In the preprocessing stage homomorphic filter, histogram equalization, median filter, and Contrast-Limited Adaptive Histogram Equalization (CLAHE) were applied to increase image quality. Segmentation was done by using Active Contour Model. Feature extraction was performed by analyzing the image’s first order statistical features. The last stage, classification, was based on the mean values. The results indicated that the system can increase specificity while maintaining sensitivity and accuracy of TB diagnosis. In conclusion, there is a high chance that CADx can assist doctors and radiologists for a more accurate and quick interpretation of CXR in early detection of TB.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124611249","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":"Identification of Human Epidermal Growth Factor Receptor 2 Antagonist In Silico for Breast Cancer Therapy, Derived from Indonesian Phytochemicals","authors":"T. Ratnasari, D. Indarto, R. S. Wulandari, Balqis","doi":"10.1109/IBIOMED.2018.8534924","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534924","url":null,"abstract":"Breast cancer is one of human cancer types that causes high morbidity and mortality rates in the world including Indonesia. Human Epidermal Growth Factor Receptor (HER2) overexpression is found in 25% patients with breast cancer that are assosiated with a poor clinical outcome. Trastuzumab is one of monoclonal antibody (mAb) that be first-line therapy for HER2 overexpressed breast cancer, but administration of this mAb has some side effects and can cause cancer resistancy. Therefore, this study aimed to identification of HER2 antagonist from Indonesian phytochemicals in silico for breast cancer therapy. This biocomputational study used 3D structure of 517 Indonesian phytochemicals which were registered in HerbalDB, Pubchem Databases respectively and fulfill criteria of Lipinski’s rule of five. The 3D structure of trastuzumab-HER2 binding complexes was obtained from Protein Data Bank (PDB), with access code: IN8Z. Trastuzumab and HER2 had large molecule weight, these molecules were truncated. Validation of truncated trastuzumab or phytochemicals and truncated HER2 was determined using the AutoDock Tools version 1.1.2. Visualization of docking results was done using PyMOL version 1.3. Interaction of truncated standard 1 and 2 with truncated HER2 had mean binding energy -4.067 and -4.7 kcal / mol respectively. Arg50 at standard 1 bound to Glu558 and Asp560 HER2, while Gly103 at standar 2 bound to Lys593 HER2. The binding site same as standard 1 was observed in Pulmatin and Gluco-obtusifolin, while (-)-Annonaine and Cinchonain Id had samiliar binding sites with standard 2. All those phytochemicals had lower mean binding energy compared to standard 1 and 2. In conclusion, there were no phytochemicals that interacted with all of HER2 binding sites.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121081115","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":"Study of Midfield Wireless Power Transfer for Implantable Medical Devices","authors":"K. Keerthi, Ilango Karuppasamy, G. Manjula","doi":"10.1109/IBIOMED.2018.8534820","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534820","url":null,"abstract":"Mid-field wireless power transfer (MF-WPT) is a scheme developed for transcutaneous power transfer to microimplants kept deep inside the body in GHz frequency.With deep seated implants, the possible locations available for application increases to almost the entire body. But, this advantage of applicability is severely limited as the power delivered to the micro implants by MF-WPT is very low -in the range of few 100W. Yet, the mid-field operations have higher efficiency in miniaturized weakly coupled coil implants compared to traditional near-field system. So, with improvement in certain aspects, MF-WPT is expected to play a vital role in biomedical field. For the same reason this paper focuses on analyses of literature available in various aspects of MF-WPT, its challenges, drawbacks and future scope of the scheme in medical field.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134367484","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}
Triwiyanto, O. Wahyunggoro, H. A. Nugroho, Herianto
{"title":"Time Delay Neural Network to Estimate the Elbow Joint Angle Based on Electromyography","authors":"Triwiyanto, O. Wahyunggoro, H. A. Nugroho, Herianto","doi":"10.1109/IBIOMED.2018.8534939","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534939","url":null,"abstract":"Elbow joint angle estimation is essential in the field of biomechanical engineering especially for an apparatus based on myoelectric control. The purpose of this study is to develop a model of electromyography (EMG) signal to elbow joint angle estimation using time delay neural network (TDANN). The EMG signals were recorded only from biceps muscle from ten healthy male subjects. In order to obtain the features, the EMG signal is extracted for every 100 samples using sign slope change (SSC) features. The EMG features are used as the training data, in order the TDANN able to recognize the elbow joint angle. The results of this study reveal that the performance of the estimation is better if it is compared to the other studies. The RMSE values for the continuous and random motion are 14.97°±5.17° and 18.69°± 2.76°, respectively. The Pearson correlation coefficients are 0.87± 0.0087 and 0.78±0.11 for continuous and random motion, respectively. The results have confirmed the usefulness of the proposed method to estimate the elbow joint angle.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380384","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}