2018 2nd International Conference on Biomedical Engineering (IBIOMED)最新文献

Optimum Features Computation Using Genetic Algorithm for Wet and Dry Cough Classification 基于遗传算法的干湿咳嗽分类最优特征计算

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534913

Yusuf A. Amrulloh, Ibnu H Priastomo, E. S. Wahyuni, R. Triasih

{"title":"Optimum Features Computation Using Genetic Algorithm for Wet and Dry Cough Classification","authors":"Yusuf A. Amrulloh, Ibnu H Priastomo, E. S. Wahyuni, R. Triasih","doi":"10.1109/IBIOMED.2018.8534913","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534913","url":null,"abstract":"The nature of cough sound has been considered as one of the important diagnostic tools. For example, wet cough in children may represent lower respiratory tract infections. However, cough classification is not an easy task. It cannot be done easily by community health workers. Therefore, an automated method is needed to help them in classifying the types of cough. Several features extraction methods have been proposed for classifying wet/dry cough with different performances. Using all those features have consequences increasing the computational cost. In this work, we develop a method to select the optimum feature set for classifying wet and dry cough in children. We recorded cough sound from thirty children younger than four years diagnosed with respiratory tract infections. Then, sound features such as Mel-frequency cepstral coefficients, energy, non-Gausianity index, zero crossing, linear predictive coding and pitch were extracted. We implemented genetic algorithm to select the optimum features and artificial neural networks to classify wet/dry cough. The results show that our proposed method could reduce around twenty-five percent of the features used in the computation while keeping the accuracy, sensitivity and specificity higher than 96%. The results are much higher compared to the previous studies which involving pediatric subjects. This significant achievement supports the development of in situ respiratory disease screening in distant areas.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"3 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":"116167066","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

Study on the Comparison of the Difference of Reaching Between the Real and the Virtual Environment Using HMD 基于HMD的真实与虚拟环境到达差异比较研究

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534857

Kazuki Hiramoto, K. Hamamoto

{"title":"Study on the Comparison of the Difference of Reaching Between the Real and the Virtual Environment Using HMD","authors":"Kazuki Hiramoto, K. Hamamoto","doi":"10.1109/IBIOMED.2018.8534857","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534857","url":null,"abstract":"The purposes of this research are to investigate a difference of human cognitive behavior (in other word, ecological cognition) in VR using HMD and the real environment and to examine a method to compensate the difference. Therefore, this research conducts a comparative experiment using a cognitive behavior called “Reaching”. First, a subject estimates the longest distance to a cylinder placed in front of the subject at which the subject can reach the cylinder. After that, the subject grabs the cylinder and places it as far as possible. The result is investigated in the real and the virtual environment. In the real, it has been found that the longest distance to an object for a person to decide to be able to reach for and grab the object is about 1.1 times as long as the longest distance where a person actually can reach for grab the object. On the other hand, despite the same scale of the real and the VR environment, this research showed the value in the virtual environment is not the same as one in the real. In addition, the result of measuring the trajectory of grasping the cylinder also showed that there is a difference between the real and the VR environment. As the result, it was found that there is an essential cognition difference between the real and the VR environment, and it was shown that the amount of environmental information and experience of the virtual environment may influence the ecological cognition in the virtual environment. In addition, as a method to complement the difference, it was suggested that it is necessary to give sufficient information to cognitive behavior.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"93 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":"114738656","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

Thyroid Nodule Classification Based on Characteristic of Margin using Geometric and Statistical Features 基于边缘特征的甲状腺结节几何统计分类

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534944

Eka Legya Frannita, H. A. Nugroho, A. Nugroho, Zulfanahri, I. Ardiyanto

{"title":"Thyroid Nodule Classification Based on Characteristic of Margin using Geometric and Statistical Features","authors":"Eka Legya Frannita, H. A. Nugroho, A. Nugroho, Zulfanahri, I. Ardiyanto","doi":"10.1109/IBIOMED.2018.8534944","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534944","url":null,"abstract":"Ultrasound is a digital imaging modality used to assess thyroid nodules. However, ultrasound still has some deficiencies to the result of diagnosis. Ultrasound produce operator dependent result, it means the result of the analysis of ultrasound is highly dependent on the ability, expertise, and skills of the operators who perform the examination. To solve this problem, it is necessary to develop computerization system that can help radiologist in making decisions of diagnosis. This system works by analyzing the characteristics of thyroid nodules. One of these characteristics of margin. Previous research has discussed the classification of margin characteristics to define the diagnosis of thyroid nodules with the classification of two classes: smooth and irregular. This study try to classify the thyroid nodule in three: smooth, ill define, and irregular. To solve the problem, a total of 99 images are used. The proposed method are started with removing the artefacts and noises using adaptive median filtering and speckle reducing bilateral filtering. The result of this step is segmented using active contour and morphological operation to fine the concern area of nodule. Segmented area is used to classify thyroid nodule in three classes using MLP. Experiment result show the performance of method with the accuracy of 90.91%, sensitivity of 90.71%, specificity of 93.46%, PPV of 90.84%, and NPV of 93.49%. These results show that proposed method has good performance to classify thyroid nodule based on characteristics of margin.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"84 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":"126504487","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

Brachial-Ankle Pulse Wave Velocity Calculation Methods Based On Oscillometric Pressure Measurement For Arterial Stiffness Assessment 基于示波压力测量的肱-踝脉波速度计算方法用于动脉刚度评估

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534778

Amanatulhay Pribadi, Tuti Adi Tama Nasution, H. Zakaria, T. Mengko

{"title":"Brachial-Ankle Pulse Wave Velocity Calculation Methods Based On Oscillometric Pressure Measurement For Arterial Stiffness Assessment","authors":"Amanatulhay Pribadi, Tuti Adi Tama Nasution, H. Zakaria, T. Mengko","doi":"10.1109/IBIOMED.2018.8534778","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534778","url":null,"abstract":"Brachial-ankle pulse wave velocity (baPWV) is a vascular parameter used to assess the stiffness of arterial segments between the brachial and femoral arteries, including aorta. The baPWV value is determined by the distance and the time difference between two wave patterns in the upper arm and ankle. This research studied six calculation methods to find specific reference point on the oscillometric waveform (OMW) from cuff pressure measurement to calculate time difference between two OMW patterns. The methods used were maximum value, minimum value, maximum first derivative, maximum second derivative, intersection between tangent of maximum first derivative and minimum value points, and intersection between tangent of maximum second derivative and minimum value points. baPWV calculation was performed during three levels of cuff pressure. At each pressure level, at least 3 waves were used for calculation. The best baPWV calculation method was determined by the smallest value of data variance. The method test was performed on 81 subjects in which 77 subjects were for general test and 4 subjects were for repetition test. General test results showed that the maximum second derivative method provides the most consistent baPWV value, meanwhile the repetition test results from 6 OMW data for each subject showed that the maximum first derivative method also gave the most consistent baPWV value with insignificant differences compared to the maximum second derivative method.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"154 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":"121183058","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

Could Water Replace Muscle Tissue Used in Electron and Photon Beams?: A Monte Carlo Study 水能代替电子和光子光束中的肌肉组织吗?一项蒙特卡洛研究

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534894

S. Yani, F. P. Lestari, F. Haryanto

{"title":"Could Water Replace Muscle Tissue Used in Electron and Photon Beams?: A Monte Carlo Study","authors":"S. Yani, F. P. Lestari, F. Haryanto","doi":"10.1109/IBIOMED.2018.8534894","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534894","url":null,"abstract":"This study was conducted to evaluate the use of different phantom materials (muscle_ICRP, muscle_ICRU, and water) using Geant4-GAMOS Monte Carlo method. GAMOS which based on the Geant4 toolkit developed by European Organization for Nuclear Research (CERN) is a Monte Carlo simulationsoftware. The material composition and density of muscle skeletal (ICRP), muscle striated (ICRU), and water (ICRU) used in this simulation were provided by Geant4 cross section data. Simulation objects consist of world, detector, source, and phantom. The phantom material used was distinguished. The source was placed inside a tube while detector was placed inside phantom. The detector was separated 2 cm from source in + x direction. The photon and electron beam with varied energies 0.5, 1.0, 1.5, and 2.0 MeV was used as source. The simulation time for each simulation was different depend on the incident particle type, particle energy, and phantom material composition. Electron beam takes longer time simulation than photon beam for varied phantom materials. TheRayleigh scattering, Compton scattering, and the photo-electric effect were occurred in each simulation but gamma conversion into electron andpositron pairs only discovered in 1.5 and 2.0 MeV photon beam. The positron was produced because of pair production interaction. The energy histogram collected in this simulation shows that the muscle (ICRP and ICRU) material can be replaced by water if the muscle depth from the skin surface is not more than 2 cm. This results also were confirmed by comparing the mass coefficient attenuation and stopping power ratio curves between muscle (ICRP and ICRU) and water material extracted using other Monte Carlo software, EGSnrc.","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":"128131642","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

Design of Mass-Sensitive Sensor Array for Biomedical Application: Sensing Lipoproteins 生物医学应用质量敏感传感器阵列的设计:检测脂蛋白

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534925

Suticha Chunta, P. Lieberzeit

引用次数: 1

Removal of Ocular Atrifacts from Single Channel EEG Signal Using DTCWT with Quantum Inspired Adaptive Threshold 基于量子启发自适应阈值的DTCWT单通道脑电信号眼源性去除

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534915

N. S. Malan, Shiru Sharma

{"title":"Removal of Ocular Atrifacts from Single Channel EEG Signal Using DTCWT with Quantum Inspired Adaptive Threshold","authors":"N. S. Malan, Shiru Sharma","doi":"10.1109/IBIOMED.2018.8534915","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534915","url":null,"abstract":"While acquiring EEG signal for recording brain activities, we often receive signals from other muscle activities which are added with the brain activity signal thus resulting in a contaminated EEG signal. Muscle activities such as eyeblink (EB) and eye ball movement are referred as Ocular Artifacts (OAs) which highly affect EEG signals. In Brain Computer Interface (BCI) systems, removal of OAs is important for correctly converting the brain thoughts into commands in order to control the external device. Various techniques like Independent component Analysis (ICA), and Principle Component Analysis (PCA) are widely used for the elimination of OAs but these techniques require multi channel EEG signals for processing. In this paper we have proposed the use of dual tree complex wavelet transform (DTCWT) with quantum inspired adaptive wavelet threshold algorithm for the elimination of OAs from single channel EEG signal. We have estimated Relative Root Mean Square Error (RRMSE). Results show better performance in reduction of ocular artifacts when using DTCWT with quantum inspired adaptive threshold.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"93 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":"127125475","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

Electric Field Distribution Measurement for electrocapacitive cancer therapy by using Wire Mesh Tomography 用丝网体层摄影测量电容性癌症治疗的电场分布

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534933

A. Nismayanti, M. Baidillah, L. Andiani, TriwikantoroTriwikantoro, EndarkoEndarko, W. Taruno

{"title":"Electric Field Distribution Measurement for electrocapacitive cancer therapy by using Wire Mesh Tomography","authors":"A. Nismayanti, M. Baidillah, L. Andiani, TriwikantoroTriwikantoro, EndarkoEndarko, W. Taruno","doi":"10.1109/IBIOMED.2018.8534933","DOIUrl":"https://doi.org/10.1109/IBIOMED.2018.8534933","url":null,"abstract":"Although low energy alternating electric field are gaining an acceptance for electrotherapy of cancer treatment, recent studies have only discussed the electric field distribution characteristics theoretically using numerical approaches. In order to obtain the optimum benefit of low energy alternating electric field, an accurate vector of the low energy alternating electric field in the region of cancer cells should be achieved. In this study, we propose a novel electric field measurement method by using wire mesh tomography (WMT) in order to obtain a feedback to minimize the error of numerical simulation of ECCT. The WMT sensor consists of 8×8 copper wire matrix in a circular shape vessel with diameter 12 cm. The cross-sectional of biomaterial phantoms of human head model with known electrical properties a priori were inserted the wire mesh sensor and were exposed by low energy alternating electric field by using ElectroCapacitive Cancer Therapy (ECCT) system based on numerical and experimental studies. The electric field value in the air medium has the highest value compared to the value of electric field in grey matter matter and cancer cells. And the electric field value in grey matter matter has a higher value than the value of the electric field in the cancer cell. This study can be a new science in measuring electric field so that electric field-based treatment can be more optimal in its planning.","PeriodicalId":217196,"journal":{"name":"2018 2nd International Conference on Biomedical Engineering (IBIOMED)","volume":"17 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":"131958945","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

Machine Learning Algorithms for Classifying Abscessed and Impacted Tooth: Comparison Study 脓肿牙与阻生牙分类的机器学习算法比较研究

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/IBIOMED.2018.8534887

Ni’matul ’Abdah Adhiya Fakhriy, I. Ardiyanto, H. A. Nugroho, Gilang Nugraha Putu Pratama

引用次数: 2

IBIOMED 2018 Index

2018 2nd International Conference on Biomedical Engineering (IBIOMED) Pub Date : 2018-07-01 DOI: 10.1109/ibiomed.2018.8534772

引用次数: 0