Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19最新文献

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Comparison of Molar Distalization Devices in a Treatment of Malocclusion Class II: Finite Element Analysis 磨牙远端装置治疗错颌ⅱ类的比较:有限元分析
Kornkamol Anasart, Atinun Pattarahirun, E. Suzuki, B. Suzuki, C. Sukjamsri
{"title":"Comparison of Molar Distalization Devices in a Treatment of Malocclusion Class II: Finite Element Analysis","authors":"Kornkamol Anasart, Atinun Pattarahirun, E. Suzuki, B. Suzuki, C. Sukjamsri","doi":"10.1145/3326172.3326208","DOIUrl":"https://doi.org/10.1145/3326172.3326208","url":null,"abstract":"Malocclusion Class II is a poor-bite condition when the lower first molar situates more posteriorly than the upper first molar. To restore the normality of bite condition, the upper molar is often moved distally using an orthodontic device. The objective of this study was to predict and compare the outcomes of two different orthodontic devices both equipped with miniscrews. The first device, called a buccal mini-implant, has miniscrews placed on the alveolar bone on the buccal surface. The second device, called an indirect palatal miniscrew anchorage and distalization appliance or iPANDA, has miniscrews inserted along the midline of the palatal bone. For comparison purpose, a three-dimensional (3D) model of both devices was virtually attached to a 3D model of the upper teeth with maxillary bone and periodontal ligament. A force of 200g was applied through the devices to simulate a recommended distalization force. Teeth displacement, stress in both miniscrews and surrounding bone, and micromotion at miniscrew-bone interface were measured using finite element method. The findings show that the iPANDA device led to a higher molar distalization and higher micronmotion compared to the buccal mini-implant device. Stress obtained from the iPANDA device was also found to be higher, however, it was relatively too small to damage both the miniscrew and surrounding bone.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123735683","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
Modification of Optical Compound Microscope to Detect Malaria Blood Parasites Using Wright-Giemsa Staining Process with SURF Based Stitching 基于SURF拼接的Wright-Giemsa染色法改进光学复合显微镜检测疟疾血液寄生虫
Ramon G. Garcia, C. Paglinawan, A. Paglinawan, Hanes Mar F. Gatus, J. Mallari, Michael Anthony G. Maniacup, Aldwin A. Saguiguit
{"title":"Modification of Optical Compound Microscope to Detect Malaria Blood Parasites Using Wright-Giemsa Staining Process with SURF Based Stitching","authors":"Ramon G. Garcia, C. Paglinawan, A. Paglinawan, Hanes Mar F. Gatus, J. Mallari, Michael Anthony G. Maniacup, Aldwin A. Saguiguit","doi":"10.1145/3326172.3326194","DOIUrl":"https://doi.org/10.1145/3326172.3326194","url":null,"abstract":"Hematology is the study of diseases and disorders causing irregularities in blood cells. Hematology is used to determine the irregularities in the blood cell containing different parasites ranging from mild to severe symptoms. Malaria has been found to be the 9th leading cause of death in the country. Malaria is caused by a bite of an Anopheles mosquito, an infected mosquito carrying a virus called Plasmodium parasite that will then be released onto a person's blood stream. The general objective of this study is to detect blood parasite from sample blood smears. This study is obtrusive and the device requires a blood sample to be tested, the researchers let expert medical doctors and laboratorians to take the blood from the patients. In hope of helping the telemedicine in the Philippines the device is able to capture images from the microscope and designed an algorithm that will process the captured images stitching it into one whole image. In addition, the device can output if the blood sample is positive or negative based on the dominant color seen from the images. The prototype is designed to replace the analytics of a skilled hematologist in rural cases whereas shortage in experts is a major problem.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122082064","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
EPILEPTIC Seizure Classification Using Gradient Tree Boosting Classifier 基于梯度树增强分类器的癫痫发作分类
M. Asjid Tanveer, A. Salman
{"title":"EPILEPTIC Seizure Classification Using Gradient Tree Boosting Classifier","authors":"M. Asjid Tanveer, A. Salman","doi":"10.1145/3326172.3326182","DOIUrl":"https://doi.org/10.1145/3326172.3326182","url":null,"abstract":"Analysis of electroencephalography (EEG) is widely used for the diagnosis of epilepsy in which relevant information extraction from EEG signals poses great challenge due to noise and interference with various environmental factors. This paper proposes a binary classification system through which EEG signals are analyzed to distinguish between ictal and normal signals. For this purpose discrete wavelet transform (DWT), along with gradient boosting is used for classification. Two level, Daubechies order 4 wavelet are used to decompose the signal into three sub-bands after which Hjorth mobility and Hjorth complexity are calculated from these sub-bands resulting in a 6-dimensional feature vector. We use two benchmark datasets in our experimentation i.e., the Bonn's dataset and CHB-MIT dataset. We establish our classifier using training samples from the Bonn's dataset. Classification accuracy of 99.4% is achieved when tested on same dataset using different samples. To validate the effectiveness and better generalization of our system, we cross-test on CHB-MIT dataset which yielded accuracy of 96.8%. Achieved performance surpasses previous state of the art technologies, giving better classification results than other well-known techniques used for seizure classification. Considering low feature dimension and hence decreasing complexity, coupled with the high performance on both datasets prove the given method to be favourable for distinguishing between epileptic and non-epileptic EEG signals.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973840","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
Determination of Schizophrenia Using Electronic Nose via Support Vector Machine 支持向量机电子鼻诊断精神分裂症
Rainier V. Leal, Alyssa Xyra C. Quiming, J. Villaverde, A. Yumang, N. Linsangan, M. V. Caya
{"title":"Determination of Schizophrenia Using Electronic Nose via Support Vector Machine","authors":"Rainier V. Leal, Alyssa Xyra C. Quiming, J. Villaverde, A. Yumang, N. Linsangan, M. V. Caya","doi":"10.1145/3326172.3326212","DOIUrl":"https://doi.org/10.1145/3326172.3326212","url":null,"abstract":"Schizophrenia is a chronic brain disorder that is considered as the top mental illness in the Philippines. When schizophrenia is not prevented, especially on early stage more complications on the brain functionality is affected due to the deterioration of gray matter or brain tissues. Breath Analysis using electronic nose (e-nose) is a non-invasive and easy to use method of detection in providing information for many illnesses. This paper examines and measures the concentration of pentane, ammonia and other volatile organic compounds (VOCs) in determining schizophrenia using breath analysis. The preliminary performance of the electronic nose has been demonstrated on 10 breath samples from a subject that has schizophrenia than in healthy individual subject which has found out that the e-nose can discriminate the patterns of VOCs from these two groups. Confusion matrix was used to show the accuracy of the system in detecting schizophrenia. This study uses support vector machine for classification and achieving the accuracy of 80% of classifying schizophrenic and non-schizophrenic subjects.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130221201","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: 10
A Study of Using Tetrapolar and Eight-Polar Electrode System to Detect Fat by Bioelectrical Impedance Analysis (BIA) Technique 生物电阻抗分析(BIA)技术应用四极和八极电极系统检测脂肪的研究
Taweechai Ouypornkochagorn, Apichada Sillaparaya, Piyaorn Piyapongjarat
{"title":"A Study of Using Tetrapolar and Eight-Polar Electrode System to Detect Fat by Bioelectrical Impedance Analysis (BIA) Technique","authors":"Taweechai Ouypornkochagorn, Apichada Sillaparaya, Piyaorn Piyapongjarat","doi":"10.1145/3326172.3326184","DOIUrl":"https://doi.org/10.1145/3326172.3326184","url":null,"abstract":"Bioelectrical Impedance Analysis (BIA) is a technique to estimate the total fat mass of a body. Tetrapolar and eight-polar electrode system are conventionally used to measure transimpedance computed from skin voltage information. Each system has different sensitivity of voltage measurement to the presence of fat in the different part of the body. Consequently, each system may have limitations to detect fat residing in different regions. In this studies, these limitations were investigated by simulation. Three current schemes and three measurement positions were simulated to detect the increase of fat in the whole body. The result showed that the tetrapolar system was able to detect fat only the half limb of the body. On the other hand, the eight-polar system can detect fat in the whole body. However, fat residing in the arms, the hip, the thighs, and the bottom may influence the accuracy of the fat mass estimation, because the bioimpedance of these regions is used as both the bioimpedance of the trunk and that of the legs or the arms. It is also found that the breast which is mostly fat had less influence in the estimation. This means the estimation for the fat mass of women may be not accurate and may be less in correlation to the breast size as well.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129266995","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: 2
Study of Fluid Flow Measurement Using Positron Annihilation Technology 利用正电子湮没技术测量流体流量的研究
Guo Ruipeng, Qi Ya'nan, Zhao Min, Yao Min
{"title":"Study of Fluid Flow Measurement Using Positron Annihilation Technology","authors":"Guo Ruipeng, Qi Ya'nan, Zhao Min, Yao Min","doi":"10.1145/3326172.3326199","DOIUrl":"https://doi.org/10.1145/3326172.3326199","url":null,"abstract":"Positron annihilation technology is used to study the behavior of flow and an algorithm is proposed to track tracer particle without a priori knowledge of the initial location of the particles. The features points is extracted from the original slice image group, the trajectory is linked by using Kuhn-Munkres algorithm and smoothed by using Kalman filter algorithm, and the 3D motion trajectory image and the average velocity value can be obtained finally. A series of experiments is performed to test the effectiveness of the approach. Experimental results show that positron annihilation technology is capable as a means of examining characteristics of flow regime.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126485797","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
A New Look at the Essence of the Array Photoplethysmograph 阵列光电脉搏波仪本质的新认识
Wei-Ru Han, Yang Ming Chou, Chih-Yuan Chuang, Chung-yuo Wu, Sen H. Huang
{"title":"A New Look at the Essence of the Array Photoplethysmograph","authors":"Wei-Ru Han, Yang Ming Chou, Chih-Yuan Chuang, Chung-yuo Wu, Sen H. Huang","doi":"10.1145/3326172.3326187","DOIUrl":"https://doi.org/10.1145/3326172.3326187","url":null,"abstract":"Photoplethysmography (PPG) has been widely used to investigate various cardiovascular conditions. Previous studies have demonstrated the effects of temperature of the measurement environment. However, an integrated evaluation has not been established in environments with gradual air temperature variations. This study was conducted to determine the correlation between the activity frequency (AF) of array PPG image and the changes in skin surface temperature (SST) by environment temperature control. The study participants were 13 company employees aged between 27 and 48 years (mean age: 35.6 years) who were treated with an IR heater to increase the skin temperature for approximately 15 min. Measurements of finger array PPG and finger SST were obtained before infrared heating as baseline, and the intervention of 15-min infrared heating was continued in the left hand as the experiment group. The right hand was not subjected to heating, which served as the control group. The results showed that the local fingertip SST increase affected the local AF of the array PPG image, which could be related to the biphasic skin blood flow response. The array PPG image could be used for monitoring the activity control of microcirculation or endothelial function.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121842079","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
Correlation Indices of Electroencephalogram-Based Relative Powers during Human Emotion Processing 基于脑电图的人类情绪处理相对功率的相关指标
N. Al-Qazzaz, Mohannad K. Sabir, K. Grammer
{"title":"Correlation Indices of Electroencephalogram-Based Relative Powers during Human Emotion Processing","authors":"N. Al-Qazzaz, Mohannad K. Sabir, K. Grammer","doi":"10.1145/3326172.3326179","DOIUrl":"https://doi.org/10.1145/3326172.3326179","url":null,"abstract":"The present study sought to employ audio-visual video clip stimuli to explore the electroencephalography-based (EEG) correlation between various emotional states. To that end, seven short video clips were shown to ten volunteer participants without health conditions whilst emotional EEG data were captured. The method of independent component analysis and wavelets (AICA-WT) was adopted for screening the extracted data. The correlation indices were computed based on spectral features employing the relative powers (RP) of delta (ΔRP), theta (&thetas;RP), alpha (αRP), beta (βRP), and gamma (γRP). The next step was calculation of Pearson's correlation between the of the neutral state and the of the six fundamental emotional states (i.e. anger, anxiety, disgust, happiness, sadness and surprise) of every EEG channel for different brain areas (i.e. frontal, temporal, parietal and occipital scalp). According to the findings obtained, the correlation of brain activity and emotional states among the brain areas observable in healthy EEG data can be investigated based on the relevant indices afforded by the new denoising method alongside EEG-based correlation analysis of the RP.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"445 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123433146","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: 7
Lumbar Spinal Loading during Stoop, Squat, and Kneeling Lifting: A Musculoskeletal Modeling Analysis 弯腰、深蹲和跪举时腰椎负荷:肌肉骨骼模型分析
Arjaree Ausavanonkulporn, K. Areekul, W. Senavongse, C. Sukjamsri
{"title":"Lumbar Spinal Loading during Stoop, Squat, and Kneeling Lifting: A Musculoskeletal Modeling Analysis","authors":"Arjaree Ausavanonkulporn, K. Areekul, W. Senavongse, C. Sukjamsri","doi":"10.1145/3326172.3326210","DOIUrl":"https://doi.org/10.1145/3326172.3326210","url":null,"abstract":"Pain at the lower back is a common health problem affecting working-age population around the world. The risk of low back pain has been assessed through spinal loads that change across different postures. Lifting is the most frequent posture that has been studied in previous literature. However, it is unclear which lifting posture should be performed in order to decrease the incidence of low back pain. The objective of this study was to evaluate spinal loads for three different lifting techniques; stoop, squat, and kneeling, at several levels of the lumbar spine. The present study was conducted via musculoskeletal modeling using commercial software (AnyBody Technology). The results indicate that there was no significant difference in compressive and resultant force among the three liftings. However, the difference in shear force between stoop and kneeling lifting was found to be significant. Increasing level of the lumbar spine significantly led to the decrease of shear force. The findings should benefit various research studies dealing with LBP.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121608541","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
Eczema, Hives and Psoriasis Detection with the Application of Local Binary Pattern, Color Histogram, SVM and RGB-HSV Color Space 局部二值模式、颜色直方图、支持向量机和RGB-HSV颜色空间检测湿疹、荨麻疹和银屑病
Jennifer C. Dela Cruz, Ramon G. Garcia, Ericson D. Dimaunahan, Jason J. Labaclado, G. B. Reyes, Holy Merr Carol P. Riomero, Patrisha Mae Salamatin
{"title":"Eczema, Hives and Psoriasis Detection with the Application of Local Binary Pattern, Color Histogram, SVM and RGB-HSV Color Space","authors":"Jennifer C. Dela Cruz, Ramon G. Garcia, Ericson D. Dimaunahan, Jason J. Labaclado, G. B. Reyes, Holy Merr Carol P. Riomero, Patrisha Mae Salamatin","doi":"10.1145/3326172.3326217","DOIUrl":"https://doi.org/10.1145/3326172.3326217","url":null,"abstract":"This paper uses a system that can recognize and detect skin diseases such as hives, eczema and psoriasis and provide temporary relief using RGH-HSV Color Space, Local Binary Pattern, Color Histogram and Support Vector Machine (SVM). These algorithms were used to train images for the testing process of the system. For the controlled testing the researchers gathered 30 images for each disease, eczema, hives and psoriasis, from dermnet.com and images from people that have been already diagnosed with the mentioned diseases in both training the prototype and testing the system's accuracy. The system identifying eczema, hives, and psoriasis have the following accuracies respectively, 96.0560%, 95.8041%, and 98.5609%.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130694991","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: 2
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