2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)最新文献

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2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018) 第二届生物信号分析、处理与系统国际会议(ICBAPS 2018)
Siti Zura, Narina A. Samah, Hafiza Abas, Abd Aziz, Aishah Umairah, Nur Syazarin Natasha, Abd Wahab, Muhamad Amin, Abd. Rahni, Ashrani Aizzuddin, Abdul Kadir, Mohammed Rafiq, Abdul Razak, Mohd Azhar, Asnida Abdul Wahab, N. A. Abdul-Kadir, Hajara Abdulkarim, Haslaile Abdullah
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引用次数: 0
Optimize Velocity of Gene Function Prediction by Using Greedy-Genetic Algorithm on Computational Sequence Variants 基于计算序列变异的贪婪遗传算法优化基因功能预测速度
A. Kheirkhah, S. Daud, K. Kamardin, N. M. Noor, A. Azizan, Y. Yusuf
{"title":"Optimize Velocity of Gene Function Prediction by Using Greedy-Genetic Algorithm on Computational Sequence Variants","authors":"A. Kheirkhah, S. Daud, K. Kamardin, N. M. Noor, A. Azizan, Y. Yusuf","doi":"10.1109/ICBAPS.2018.8527411","DOIUrl":"https://doi.org/10.1109/ICBAPS.2018.8527411","url":null,"abstract":"The point which makes the Genetic Algorithm so robust in many kinds of complex situations is its flexibility to generate many populations by employing the crossover and mutation techniques. This is shown in solving a difficult problem like the computational DNA sequence variant which can be easily solved by applying a simple Genetic Algorithm. However, achieving a fast and optimized algorithm to generate any order of reproduction is a matter of time and cost. The main contribution of this paper is on the optimization in the selection stage of the Genetic Algorithm (GA) that proposes to build a new hybrid of the Greedy and the Genetic Algorithms for the computation of DNA sequences variant. This is achieved by integrate Greedy and Genetic algorithm, aim to pick up the most suitable parents on selection segment. Sequentially, fitness function combined with greedy algorithm is applied to reduce the number of node within the network and optimize the velocity of selection segment through genetic algorithm. In comparison with other well-known algorithm, this method optimized the complexity into O(nlogn).","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"24 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":"116584481","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
Acoustic Feature Extraction from Music Songs to Predict Emotions Using Neural Networks 利用神经网络提取音乐歌曲的声学特征来预测情绪
Rab Nawaz, H. Nisar, Yap Vooi Voon, Tang Pek Yee
{"title":"Acoustic Feature Extraction from Music Songs to Predict Emotions Using Neural Networks","authors":"Rab Nawaz, H. Nisar, Yap Vooi Voon, Tang Pek Yee","doi":"10.1109/ICBAPS.2018.8527414","DOIUrl":"https://doi.org/10.1109/ICBAPS.2018.8527414","url":null,"abstract":"We describe a scheme of emotion prediction from the music songs based on seven acoustic features from three different categories; timbre, rhythm, and dynamics. 20 full-length songs from different genre were selected. Two-dimensional emotion model (arousal-valence model) is adopted. The ratings of arousal and valence for these songs were calculated by multiple linear regression method. Neural network with two different parameter sets were trained by extracted features using 80% of the dataset. The trained network is tested on the remaining 20% of data. First neural network with 7 input layers, the default number of hidden layers (average input and output layers) and 4 output layers did not perform well (50% accuracy). The second neural network with the number of hidden layers equal to the number of input layers and 4 output layers performed a good job with 75% accuracy in predicting the emotion class. The result of the study indicates, that training a neural network can identify the statistical consistencies across acoustic features of music to predict the emotion.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"1 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":"115690328","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
Comparison Between Projection Weighting and Rebinning Approaches in Analytical Image Reconstruction in Off-Center Flat Panel Cone-Beam CT Imaging 投影加权与重建方法在离心平板锥束CT分析图像重建中的比较
A. T. Amin, Ashrani Aizzuddin Abd. Rahni, S. S. Mokri, Rozilawati Ahmad
{"title":"Comparison Between Projection Weighting and Rebinning Approaches in Analytical Image Reconstruction in Off-Center Flat Panel Cone-Beam CT Imaging","authors":"A. T. Amin, Ashrani Aizzuddin Abd. Rahni, S. S. Mokri, Rozilawati Ahmad","doi":"10.1109/ICBAPS.2018.8527405","DOIUrl":"https://doi.org/10.1109/ICBAPS.2018.8527405","url":null,"abstract":"In cone-beam CT (CBCT) imaging, a half-fan (HF) mode acquisition can be used to obtain a larger field-of-view (FOV) without physically increasing the detector size. However, this leads to an asymmetric sinogram with a truncated set of projection that needs to be considered during image reconstruction., especially when using analytical methods such as the filtered backprojection (FBP) and its 3D approximation, the Feldkamp-Davis-Kress (FDK) algorithm. Various approaches have been suggested in literature, which can be roughly categorized as weighting based and projection rebinning approaches. In this paper, a comparison between the two approaches are made using the XCAT phantom, based on the geometry of the Varian On-Board Imager (OBI) as the CBCT acquisition device that is usually used for image guided radiotherapy (IGRT) during treatment delivery. It is found that analytical reconstruction alone will produce a percent normalized root mean squared error (NRMSE) of 36.81% in the reconstructed image, whereas using the weighting based and rebinning approaches reduces this error to 22.86% and 4.68% respectively. Apart from that, the weighting based approach is also found to be on average biased and produces an overall lower intensity in the reconstructed image whereas the rebinning approach does not have this problem, as well as having a smaller standard deviation of the intensity deviations from the original phantom image as the ground truth.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"143 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114047096","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
2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018) 第二届生物信号分析、处理与系统国际会议(ICBAPS 2018)
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引用次数: 0
2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018) 第二届生物信号分析、处理与系统国际会议(ICBAPS 2018)
Mohd Ashraf, Minhaz Uddin, Husam Qassim
{"title":"2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018)","authors":"Mohd Ashraf, Minhaz Uddin, Husam Qassim","doi":"10.1109/icbaps.2018.8527377","DOIUrl":"https://doi.org/10.1109/icbaps.2018.8527377","url":null,"abstract":"2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018)","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"1 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":"130814810","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
Brainwave-Controlled System for Smart Home Applications 智能家居应用的脑波控制系统
Marwan Nafea, Amirah ‘Aisha Badrul Hisham, N. A. Abdul-Kadir, F. K. Che Harun
{"title":"Brainwave-Controlled System for Smart Home Applications","authors":"Marwan Nafea, Amirah ‘Aisha Badrul Hisham, N. A. Abdul-Kadir, F. K. Che Harun","doi":"10.1109/ICBAPS.2018.8527397","DOIUrl":"https://doi.org/10.1109/ICBAPS.2018.8527397","url":null,"abstract":"This paper presents an electroencephalogram (EEG)-controlled system for a smart home that is intended to assist disabled and elderly people. The system consists of a NeuroSky MindWave EEG sensor that is paired with an Android application, which is developed to allow the user to control four home appliances. The Android application is paired with an Arduino Uno board using an HC-05 Bluetooth module to control the appliances. The connections between the EEG sensor, the Android application, and the Arduino board are done via Bluetooth, which offers a low power consumption and a portable solution for smart home applications. The system allows the user to individually switch on and off the four appliances using blinking and attention levels. The EEG signal is extracted to analyze the activity of the brain during the experiment. The results agree well with the command, standby, focus, and running modes used during the experiment. The developed system can be easily implemented in smart homes and has high potential to be used in smart automation and wireless biomedical applications.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"71 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":"116325763","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: 21
IoT (Internet of Things) Based Infant Body Temperature Monitoring 基于物联网的婴儿体温监测
N. A. Zakaria, Fatin Nadia Binti Mohd Saleh, M. A. A. Razak
{"title":"IoT (Internet of Things) Based Infant Body Temperature Monitoring","authors":"N. A. Zakaria, Fatin Nadia Binti Mohd Saleh, M. A. A. Razak","doi":"10.1109/ICBAPS.2018.8527408","DOIUrl":"https://doi.org/10.1109/ICBAPS.2018.8527408","url":null,"abstract":"Body temperature of the baby is an important element that will inform the actual health condition of a baby. Parents and caregiver occasionally do not aware of drastic increase in body temperature in a short period of time and febrile seizure may happen that could leads to epilepsy. In Malaysia, device that could monitor the infant body's temperature is already available. However, the device could not continuously be used for a long hours and create discomfort to the babies due to its size of devices. Therefore, a small, lightweight device that continuously monitors the body temperature and comfortably used by baby is developed. It directly helps parents by alerting them whenever the baby's body temperature increased higher than normal a degree. This system monitors the vital parameter which is the body temperature by using a wearable sensor. The information then transferred to their parents through a wireless network. The system is extended for interfacing with the mobile phones to enable remote monitoring. Architecture of the system consists of a wearable sensor for monitoring the vital parameter and a sound buzzer where all of the component be controlled by a single microcontroller, the ESPresso Lite V2.0 based on ESP8266 and supplied by the lithium ion polymer battery. Even though the system is more focusing on temperature monitoring only, it can be further expanded or upgrade to monitor other vital parameter such as heart rate, oxygen saturation, respiration rate or any other parameter.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"7 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":"123730787","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: 33
ECG Heart Beat Detection Using Modified Slope Sum Function and Teager-Kaiser Energy Method 基于修正斜率和函数和Teager-Kaiser能量法的心电心跳检测
Shalini A. Rankawat
{"title":"ECG Heart Beat Detection Using Modified Slope Sum Function and Teager-Kaiser Energy Method","authors":"Shalini A. Rankawat","doi":"10.1109/ICBAPS.2018.8527395","DOIUrl":"https://doi.org/10.1109/ICBAPS.2018.8527395","url":null,"abstract":"Heart beat detection in Electrocardiograph (ECG) helps medical practitioners in diagnosis of cardiac diseases and heart abnormalities. Therefore, accurate beat detection is essential in ECG signal analysis. In this paper, modified Slope Sum Function and Teager - Kaiser Energy (SSF-TKE) method has been proposed for beat detection in ECG and its performance on different standard databases is compared with that of other QRS detectors. Modified SSF-TKE method has achieved overall score of 92.53%, 99.79%,93.76% and 90.05% in ECG heart beat detection on PhysioNet Challenge 2014 public training dataset, MIT-BIH polysomnographic database, MIT-BIll noise stress test database and MGH/MF waveform database respectively. The beat detection algorithm performance is also extremely good in noisy ECG and it is better than that of other well known QRS detectors.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"70 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":"126391468","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
2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018) 第二届生物信号分析、处理与系统国际会议(ICBAPS 2018)
{"title":"2nd International Conference on BioSignal Analysis, Processing and System (ICBAPS 2018)","authors":"","doi":"10.1109/icbaps.2018.8527376","DOIUrl":"https://doi.org/10.1109/icbaps.2018.8527376","url":null,"abstract":"Andrew Taberner (MSc(Tech), PhD 1999) is a physicist and bioengineer, and Associate Professor with the Auckland Bioengineering Institute at University of Auckland, New Zealand. From 2002-2008 he was a Post-Doctoral Associate, Research Scientist, and comanager of the Bioinstrumentation Laboratory at Massachusetts Institute of Technology. His teaching is centered on the principles and methods of bioinstrumentation and measurement, and forms part of his University's BE(Hons) in Biomedical Engineering degree program. The quality of his teaching has been recognized by five “Students' Choice Top-teacher” awards, and a “Sustained Excellence in Teaching” award. He leads a team of researchers in his Bioinstrumentation Laboratory in novel instrumentation design, construction and development. He has supervised 25 PhD, 15 ME and 50+ honours students.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"34 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":"130888100","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
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