发布求助
文献互助 智能选刊 最新文献

2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)最新文献

筛选
英文 中文
Finite modeling of SAW resonator for DF-1 cells 东风-1电池声表面波谐振器的有限建模
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742260
Nadira Jamil, A. Nordin, I. Voiculescu
{"title":"Finite modeling of SAW resonator for DF-1 cells","authors":"Nadira Jamil, A. Nordin, I. Voiculescu","doi":"10.1109/IECBES.2010.5742260","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742260","url":null,"abstract":"In this work, a finite element modeling of surface acoustic wave biosensors is presented. These resonators are formed using a lithium niobate substrate with Al electrodes as the interdigitated transducers. A study has been made to compare the efficiency and sensitivity of the acoustic wave biosensors in analyzing the DF-1 cells. DF-1 animal cell were modeled as a load on the acoustic wave sensors. In order to achieve the objectives, COMSOL Multiphysics™ was the primary software to perform the simulations. Multiple designs of SAW resonators are performed, varying in lambda, type of ports and the presence of delay line. These models were simulated to determine their resonant frequency as well as frequency shift due to the loading of a substance which is the DF-1 cells. This paper presents the biosensor prototype utilizing acoustic wave biosensors with and without delay lines; and compares their performance in the detection of DF-1 cells.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839630","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
ECG and blood oxygen level based Sleep Apnea study and detection 基于心电图和血氧水平的睡眠呼吸暂停研究与检测
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742245
S. Ali, V. Jeoti
{"title":"ECG and blood oxygen level based Sleep Apnea study and detection","authors":"S. Ali, V. Jeoti","doi":"10.1109/IECBES.2010.5742245","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742245","url":null,"abstract":"Respiration is considered to be the most vital phenomenon of life. Problematic breathing, if untreated, may bring disastrous results. Sleep Apnea, being a silent killer, normally stays hidden from being diagnosed and the patient suffers the whole life till silently passing away. This study mainly focuses those patients who are totally unaware of the root cause of their frequent heart problems, restless sleep and anemia etc. For the research, we have utilized common tests like ECG and blood oxygen level and aimed to detect apnea in those patients who are being treated for other related problems but have hidden sleep apnea as one of the major cause of their frequent illness. On the other hand, for those patients who are suspected for sleep apnea, continuous and dynamic analysis of breathing ailment turns out to be a very irritating and expansive process as compared to continuous cardio and blood oxygen level analysis. We are following the path of ECG to mark breathing ailments along with the statistical analysis of different heart features followed by introduction of oxygen level analysis as one of the important factor. For this purpose we are using ECG, nasal breathing and Oxygen level data provided at MIT-BIH.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132312366","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: 5
Comparison of speaker normalization techniques for classification of emotionally disturbed subjects based on voice 基于语音的情绪障碍分类的说话人归一化技术比较
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742248
K. S. Subari, D. Wilkes, R. Shiavi, Stephen E. Silverman, Marilyn K. Silverman
{"title":"Comparison of speaker normalization techniques for classification of emotionally disturbed subjects based on voice","authors":"K. S. Subari, D. Wilkes, R. Shiavi, Stephen E. Silverman, Marilyn K. Silverman","doi":"10.1109/IECBES.2010.5742248","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742248","url":null,"abstract":"When reviewing his clinical experience in treating suicidal patients, one of the authors observed that successful predictions of suicidality were often based on the patients voice independent of content. Research has shown that the Gaussian mixture model of the mel-cepstral features of speech can be used to distinguish the speech of suicidal persons from that of depressed and control persons with high classification rates. Since the vocal tract length vary from person to person, can the classification rates of suicidal persons be improved through speaker normalization? We approach this problem by warping the frequency axis of the mel-cepstral features. The results show that two different approaches yielded the best results: i) by using the maximum-likelihood approach in a gender-independent database to compute the warping factor for a nonlinear warp and ii) by a transformation of the first three formants in a gender-dependent database to compute the warping factor for a linear warp.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117246409","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
Leukocyte's nucleus segmentation using active contour in YCbCr colour space 利用YCbCr颜色空间的活动轮廓分割白细胞细胞核
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742239
A. Sadr, M. Jahed, P. Salehian, A. Eslami
{"title":"Leukocyte's nucleus segmentation using active contour in YCbCr colour space","authors":"A. Sadr, M. Jahed, P. Salehian, A. Eslami","doi":"10.1109/IECBES.2010.5742239","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742239","url":null,"abstract":"Blood cell segmentation is a crucial part of many medical and laboratory procedures such as cell counting and blood cell disorder diagnosis. Among different types of blood cells, white blood cells are the most important clinically, as they suffer greatest from blood disorders. In this paper we propose a method for automatic segmentation of white blood cells nucleus. A distinctive function is used in YCbCr color space to segment the white blood cells nucleus. Next, the sub-images are extracted which contain the whole body of white blood cell nucleus. Then an active contour method is applied to the sub-images extracted from the previous step to accurately segment the cell nucleus boundary. Our analysis conducted on 20 samples, show a great success on segmentation of white blood cells nucleus.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128738336","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
Estimation of muscle forces and joint torque from EMG using SA process 用SA法估计肌电图中的肌肉力和关节扭矩
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742204
Arif Wicaksana Oyong, S. Parasuraman, V. L. Jauw
{"title":"Estimation of muscle forces and joint torque from EMG using SA process","authors":"Arif Wicaksana Oyong, S. Parasuraman, V. L. Jauw","doi":"10.1109/IECBES.2010.5742204","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742204","url":null,"abstract":"This paper is motivated by works done in the area of robot-assisted stroke rehabilitation. The use of electromyographic (EMG) signal brings a new way of communication interface between user and robot. However, the EMG signal has to be transferred into useful information that serve as robot input. This paper presents a novel methodology for conversion of electromyographic (EMG) signal into estimated joint torque. Investigation of the proposed methodology covers human upper limb movement: shoulder flexion-extension, shoulder abduction-adduction, and elbow flexion-extension. Simulated annealing (SA) is implemented to obtain optimum model that maps EMG into estimated joint torque. General principle, design, and the implementation of SA for the problem are discussed in this paper. Experimentation was carried out to investigate the feasibility of the proposed algorithm. The results show that the algorithm is able to find optimum model that enables EMG to joint torque conversion.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915584","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: 8
The effect of F-ratio in the classification of asphyxiated infant cries using multilayer perceptron Neural Network 多层感知器神经网络中f比对窒息婴儿哭声分类的影响
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742213
A. Zabidi, W. Mansor, L. Khuan, I. Yassin, R. Sahak
{"title":"The effect of F-ratio in the classification of asphyxiated infant cries using multilayer perceptron Neural Network","authors":"A. Zabidi, W. Mansor, L. Khuan, I. Yassin, R. Sahak","doi":"10.1109/IECBES.2010.5742213","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742213","url":null,"abstract":"Artificial Neural Network has been widely applied for solving pattern recognition problems including infant cry classification for detecting infant health and physical status. Feature extraction is usually performed using Mel Frequency Cepstrum Coefficient (MFCC) analysis. If irrelevant features in the MFCC are not removed, the performance of the MLP will be degraded. The use of F-ratio is essential to select the significant features. This paper examines the effect of selecting features using F-ratio on the classification accuracy of the MLP. Results obtained from direct selection of coefficients and selection of coefficients via F-ratio, were compared. It is found that the contribution of F-ratio in the selection of input for the MLP has managed to produce high classification accuracy.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130661510","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: 9
Estimation of respiratory rate from principal components of photoplethysmographic signals 从光容积脉搏波信号的主成分估计呼吸速率
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742251
K. V. Madhav, M. R. Ram, E. Krishna, K. N. Reddy, K. Reddy
{"title":"Estimation of respiratory rate from principal components of photoplethysmographic signals","authors":"K. V. Madhav, M. R. Ram, E. Krishna, K. N. Reddy, K. Reddy","doi":"10.1109/IECBES.2010.5742251","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742251","url":null,"abstract":"Continuous monitoring of respiratory activity is mandatory in clinical, high risk situations such as ambulatory monitoring, intensive care, stress tests and sleep disorder investigations. Extraction of surrogate respiratory activity from electrocardiogram (ECG), blood pressure (BP) and photoplethysmographic (PPG) signals will potentially eliminate the use of additional sensor intended to record respiration. Principal Component Analysis (PCA) is a simple and standard non-parametric mathematical tool for extracting relevant information from complex data sets. In this paper, PCA is exploited for extraction of surrogate respiratory activity from PPG signals. The respiratory induced intensity variations (RIIV) of PPG signal are described by coefficients of computed principal components. Singular value ratio (SVR) trend is used to find the periodicity, which is one of the key parameters in forming the data sets for PCA. Test results on MIMIC data base clearly indicated a strong correlation between the extracted and actual respiratory signals. The evaluated similarity measures, both in time (RCC-Relative Correlation Coefficient) and frequency (MSC-Magnitude Squared Coherence) domains and calculated accuracy demonstrated the fact that respiratory signal is present in the form of first principal component.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436984","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: 26
Skull stripping of MRI brain images using mathematical morphology 利用数学形态学对MRI脑图像进行颅骨剥离
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742193
Rosniza Roslan, N. Jamil, R. Mahmud
{"title":"Skull stripping of MRI brain images using mathematical morphology","authors":"Rosniza Roslan, N. Jamil, R. Mahmud","doi":"10.1109/IECBES.2010.5742193","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742193","url":null,"abstract":"Skull stripping is a major phase in MRI brain imaging applications and it refers to the removal of its non-cerebral tissues. The main problem in skull-stripping is the segmentation of the non-cerebral and the intracranial tissues due to their homogeneity intensities. As morphology requires prior binarization of the image, this paper proposed mathematical morphology segmentation using double and Otsu's thresholding. The purpose is to identify robust threshold values to remove the non-cerebral tissue from MRI brain images. Ninety collected samples of T1-weighted, T2-weighted and FLAIR MRI brain images are used in the experiments. The results showed promising use of double threholding as a robust threshold value in handling intensity inhomogeneities compared to Otsu's thresholding.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"21 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085557","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: 32
A review of signal processing in brain computer interface system 脑机接口系统中信号处理的研究进展
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742278
N. Norani, W. Mansor, L. Khuan
{"title":"A review of signal processing in brain computer interface system","authors":"N. Norani, W. Mansor, L. Khuan","doi":"10.1109/IECBES.2010.5742278","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742278","url":null,"abstract":"Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode placement, filtering, feature extraction and EEG signal classifications are also discussed. Future improvements on BCI system are proposed based on the limitations that have been highlighted.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121217110","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: 40
Image quality assessment for performance evaluation of despeckle filters in Optical Coherence Tomography of human skin 人体皮肤光学相干层析成像中去斑滤波器性能评价的图像质量评价
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742289
D. Sheet, Santanu Pal, Arindam Chakraborty, J. Chatterjee, A. Ray
{"title":"Image quality assessment for performance evaluation of despeckle filters in Optical Coherence Tomography of human skin","authors":"D. Sheet, Santanu Pal, Arindam Chakraborty, J. Chatterjee, A. Ray","doi":"10.1109/IECBES.2010.5742289","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742289","url":null,"abstract":"The objective of this work is to evaluate the performance of a set of despeckle filters for Optical Coherence Tomography (OCT) of the skin. The six filters are based on local statistics, median filtering, pixel homogeneity, geometric filtering and transformed domain homomorphic filtering. The results of this study suggest that geometric filtering algorithm outperforms other candidate methods, and exhibits minimum Minkowski metric. It also has SNR > 50dB, with best image quality and intact structural similarity. The results of image quality are also related with visual assessment by an expert. The experiments performed here for selection of a proper despeckle filter for OCT requires further large scale evaluation for application in clinical practice, exploratory analysis, automated segmentation, texture analysis, and image based classification techniques. On a wider spectrum this work is also useful as a framework for comparative assessment of similar image quality improvement algorithms.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114295460","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: 13
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信