2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)最新文献_第3页

Subnanosecond pulsed intense electromagnetic field radiators for non-invasive cancer treatment 用于非侵入性癌症治疗的亚纳秒脉冲强电磁场辐射器

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292212

A. Petrishia, M. Sasikala

引用次数: 1

Investigation a critical selection of pulse duration effect on growth rate of HeLa cells 研究了脉冲时间对HeLa细胞生长速率的影响

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292213

Mohamed A. Milad Zaltum, M. N. Adon, Sallehuddin Hamdan, M. Dalimin, M. Mahadi Abdul Jamil

引用次数: 4

Simultaneous tilt correction and registration of CT angiography and dynamic CT brain images 同时倾斜校正和配准的CT血管成像和动态CT脑图像

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292224

I. H. Arka, K. Chellappan, S. Mukari, Z. Law, R. Sahathevan, Ashrani Aizzuddin Abd Rahni

引用次数: 3

Performance evaluation of automated lung segmentation for High Resolution Computed Tomography (HRCT) thorax images 高分辨率计算机断层扫描(HRCT)胸部图像自动肺分割的性能评价

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292215

N. Noor, J. Than, O. M. Rijal, R. M. Kassim, A. Yunus

{"title":"Performance evaluation of automated lung segmentation for High Resolution Computed Tomography (HRCT) thorax images","authors":"N. Noor, J. Than, O. M. Rijal, R. M. Kassim, A. Yunus","doi":"10.1109/ICBAPS.2015.7292215","DOIUrl":"https://doi.org/10.1109/ICBAPS.2015.7292215","url":null,"abstract":"Segmentation is the preliminary steps in developing a computer aided diagnosis (CAD) system. Determining the quality of segmentation will be able to minimize errors in the CAD system. Ninety-six High Resolution Computed Tomography (HRCT) thorax images in DICOM format were obtained from the Department of Diag-nostic imaging of Kuala Lumpur, Malaysia consisting of Interstitial Lung Disease (ILD) cases, other lung related diseases (Non-ILD) cases and healthy (normal) cases. The study utilizes a framework of having five pre-determined levels of HRCT Thorax image slices based on lung anatomy selected by the radiologist. For the purpose of this study only Level 1 is used. The images were automatically segmented and compared with ground truth which the manual tracings done by a radiologist. Polyline distance metric and Euclidean distance were used to determine the quality of segmentation. The quality of the segmentation deteriorates when the polyline and Euclidean distance increases. Generally values above five pixels would yield poor segmentation quality. Using the Bland-Altman method and plot, it can be seen the level of agreement between polyline and Euclidean distance metrics as well as the quality of segmentation.","PeriodicalId":243293,"journal":{"name":"2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114586384","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

Initial result of body earthing on student stress performance 身体接地对学生压力表现的初步结果

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292232

M. Mustafa, Sia Kee Huong, N. Sulaiman, R. Samad, N. Abdullah, Nasrul Salim Pakheri, M. Taib

{"title":"Initial result of body earthing on student stress performance","authors":"M. Mustafa, Sia Kee Huong, N. Sulaiman, R. Samad, N. Abdullah, Nasrul Salim Pakheri, M. Taib","doi":"10.1109/ICBAPS.2015.7292232","DOIUrl":"https://doi.org/10.1109/ICBAPS.2015.7292232","url":null,"abstract":"The body earthing technique is a kind of method that can neutralize our positive charge and negative charge in our body by connecting to the earth. It is believed that body earthing gives a positive effect on human body. There is a possibility that EEG signals can verify the positive effect of body earthing. The experiment of body earthing is done by attaching the patched kit to the hand of the subjects. Then, low voltage of multimeter was used to measure the body voltage of the subjects and EEG signals were collected. After that, the collected EEG data were processed by Band-pass filter in MATLAB to filter out the Alpha and Beta frequency bands separately. The threshold of signal amplitude was set to -100 μV to 100 μV in order to remove the noise of the signals. Next, the Power Spectral Density (PSD) graphs of each EEG signals were plotted and the maximum points of each signal were recorded. Then the peak points were plotted in a histogram to see the changes of the Alpha and Beta band signals. Lastly, the results of before the body earthed and after body earthed were compared through the histogram plotted. It is observed that, before the body earthed, the Alpha-band is low, while the Beta-band is high. Then after body earthed, the Alpha band increased, while the Beta band are decreased.","PeriodicalId":243293,"journal":{"name":"2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115052048","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

Determination of heart rate from photoplethysmogram using Fast Fourier Transform 利用快速傅立叶变换从光电容积图中测定心率

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292239

N. H. Mohd Sani, W. Mansor, K. Y. Lee, N. Ahmad Zainudin, S. A. Mahrim

引用次数: 10

Bipolar Pulse Active features for ECG biometric application 双极脉冲有源特征用于ECG生物识别应用

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292207

S. Safie, M. I. Yusof, K. Kadir, H. Nasir

引用次数: 0

Decrease alpha waves in depression: An electroencephalogram(EEG) study 抑郁症α波减少:脑电图(EEG)研究

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292237

D. Kan, P. F. Lee

{"title":"Decrease alpha waves in depression: An electroencephalogram(EEG) study","authors":"D. Kan, P. F. Lee","doi":"10.1109/ICBAPS.2015.7292237","DOIUrl":"https://doi.org/10.1109/ICBAPS.2015.7292237","url":null,"abstract":"There was no affirm study that differentiates the brainwaves between depression subjects and healthy subjects until today. Hyperactivity and low activity of the brain activities in various parts and regions could be evaluated and studied though the brainwaves measured from the electroencephalogram (EEG). The losing ability of the brain to transmit signals and information that caused a person to be depressed makes a person influences their normal daily activities. Depression is a mood disorder which may affect our daily work, sleep, eating habits and general health. Therefore, it is a general term and commonly infected by anyone. The aim of this study was to determine the differences of alpha waves between normal and depression groups. Throughout the research, depression screening measurements of Patient Health Questionnaire-9 (PHQ-9) and Depression Anxiety Stress Scale-21 (DASS-21) were taken into accounts in order to identify the normal and depression groups. A total of 4 normal subjects and 4 depressed subjects participated in this study. A 32 channels EEG was used to detect the difference of alpha waves in depression and normal groups. The alpha waves in depression group were found out to be lower compared to the normal group in both close eyes and open eyes conditions. The T-Test statistical analysis shown that there were significant differences in the alpha-1 waves in close eyes condition and alpha 1 and alpha-2 waves in the open eyes condition for depression group. In addition, the frontal lobe, parietal lobe, occipital lobe and temporal lobe had found out to have much lower alpha waves in the depression group compared to the normal group. In short, by measuring the alpha waves of a person using EEG may be a biomarker in differentiating a healthy or depressed person in the future.","PeriodicalId":243293,"journal":{"name":"2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114321076","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: 45

A framework of MRI fat suppress imaging fusion system: MRI inhomogeneity correction for femur abnormality analysis MRI脂肪抑制成像融合系统框架:股骨异常分析的MRI不均匀性校正

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292216

Belinda Chong Chiew Meng, U. K. Ngah, B. Khoo, I. Shuaib, M. Aziz

{"title":"A framework of MRI fat suppress imaging fusion system: MRI inhomogeneity correction for femur abnormality analysis","authors":"Belinda Chong Chiew Meng, U. K. Ngah, B. Khoo, I. Shuaib, M. Aziz","doi":"10.1109/ICBAPS.2015.7292216","DOIUrl":"https://doi.org/10.1109/ICBAPS.2015.7292216","url":null,"abstract":"Short Inversion Time Inversion Recovery (STIR) is one of the fat suppression imaging techniques which involves inversion recovery pulse sequences. STIR uses time delay TI to nullify longitudinal magnetisation. This is to suppress the fat signals from tissues and increase the echo time (TE) so that another sequence called T2 will increase the contrast between tissues. STIR sequence has greater advantage of display signal based on water information about a patient. However, intensity inhomogeneity is a common artifact occurs in MRI machines due to radio-frequency non-uniformity and static field-inhomogeneity. The purpose of this study is to propose a method uses image fusion system, imitating the MRI machine to produce STIR or any other fat suppressed images. The image fusion system could completely remove the fat signals and correct inhomogeneity which occurs in the MRI machine. Image quality measurement on Mean Square Error (MSE) is low (0.055069) and Similarity Index (SSIM) is high (0.995606) for 4 clusters. This show that the resultant fused `STIR' like image has high similarity with the original MRI STIR.","PeriodicalId":243293,"journal":{"name":"2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117200172","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

Acceleration plethysmogram based biometric identification 基于加速度体积谱的生物识别

2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) Pub Date : 2015-05-26 DOI: 10.1109/ICBAPS.2015.7292210

N. L. Jaafar, K. Sidek, Siti Nurfarah Ain Mohd Azam

{"title":"Acceleration plethysmogram based biometric identification","authors":"N. L. Jaafar, K. Sidek, Siti Nurfarah Ain Mohd Azam","doi":"10.1109/ICBAPS.2015.7292210","DOIUrl":"https://doi.org/10.1109/ICBAPS.2015.7292210","url":null,"abstract":"This paper presents the feasibility study of Acceleration Plethysmogram (APG) based biometric identification system. APG signals are obtained from the second derivative of the Photoplethysmogram (PPG) signal. It has been reported from previous literature that APG signals contain more information as compared to the PPG signal. Thus, in this paper, the robustness and reliability of APG signal as a biometric recognition mechanism will be proven. APG signals of 10 subjects were acquired from the Multiparameter Intelligent Monitoring in Intensive Care II Waveform Database (MIMIC2WDB) which contains PPG signals with a sampling frequency of 125 Hz. The signals were later converted into an APG waveform. Then, discriminating features are extracted from the APG morphology. Finally, these APG samples were classified using commonly known classification techniques to identify individuals. Based on the experimentation results, APG signal when using Bayes Network gives an identification rate of 97.5 percentage as compared to PPG signal of 55 percentage for the same waveform. This outcome suggests the feasibility and robustness of APG signals as a biometric modality as compared to PPG signals.","PeriodicalId":243293,"journal":{"name":"2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121260674","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: 19