2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)最新文献_第3页

Human Skin Micro-Mechanics Measured in Vivo Using Atomic Force Microscopy(AFM) 用原子力显微镜(AFM)测量人体皮肤微观力学

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430265

Sahba Iravanimanesh, Mohammad Ali Nazari, M. Mahjoob, M. Azadi

{"title":"Human Skin Micro-Mechanics Measured in Vivo Using Atomic Force Microscopy(AFM)","authors":"Sahba Iravanimanesh, Mohammad Ali Nazari, M. Mahjoob, M. Azadi","doi":"10.1109/ICBME.2017.8430265","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430265","url":null,"abstract":"Detecting mechanical properties of the intact skin in vivo can lead to a quantitative method that can diagnose skin diseases and can monitor skin conditions in long period of time in clinical setting. Current methods either measure human skin mechanics in-vitro in non-physiological conditions or measure the human skin mechanics in larger scale where mechanics of the underneath tissues are also captured. This study demonstrates the feasibility of measuring the human skin mechanics in vivo in micro scale for the first time in which only mechanics of the surface layer of the skin (stratum corneum) is captured. In this study, atomic force microscope (AFM) micro-scale indentation was used for detecting the skin elastic modulus of the finger of four human subjects as well as a fixed/dried skin samples in vitro. The measured elastic moduli (mean value of 23 MPa and standard error of 3 MPa) are in the same range as those reported in literature. As expected the moduli of the fixed/dried skin was more than one order of magnitude harder with elastic moduli at mean value of 703 MPa and standard error of 13 MPa. More works is needed to improve the measurement technique and extend its use for testing skin of other body locations such as face.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117101131","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

Multi-Resolution Multiple Sparse Prior EEG Inverse Problem Solution 多分辨率多稀疏先验脑电图反问题求解

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430263

M. Farokhzadi, H. Soltanian-Zadeh, G. Hossein-Zadeh

引用次数: 0

Automatic Breast Tumor Classification Using a Level Set Method and Feature Extraction in Mammography 基于水平集和特征提取的乳腺肿瘤自动分类

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430285

Soheil Pashoutan, Shahriar Baradaran Shokouhi, Meisam Pashoutan

{"title":"Automatic Breast Tumor Classification Using a Level Set Method and Feature Extraction in Mammography","authors":"Soheil Pashoutan, Shahriar Baradaran Shokouhi, Meisam Pashoutan","doi":"10.1109/ICBME.2017.8430285","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430285","url":null,"abstract":"Breast cancer is one of the leading factors of cancer-related deaths among women, therefore designing Computer Aided Diagnosis (CADx) systems to detect malignant and benign tumors of breast masses is extensively essential. Using a segmentation method and subsequently a proper feature extraction is crucial to obtain an appropriate performance in CADx system. In this paper, the Mammography Imaging Analysis Society (MIAS) data is used in order to detect whether breast masses are malignant or benign. A method is based on level set and with the purpose of segmenting the region of the tumor in mammography for the first time and in following, four additional methods were introduced. Including wavelet transform, Gabor wavelet transform Zernike moments and Gray-Level Co-occurrence Matrix (GLCM) to extract features and each one leads to the extraction of a group of the segmented tumor features. Proper features are selected using P value. Consequently, in order to investigate the efficiency of selected features, each group of features are used within one Multilayer Perceptron (MLP). In this paper, the results focus on the appropriate efficiency of proposed segmentation and features extraction methods. Among these considered features, the features related to GLCM are among the best results with the accuracy of 93.37 and sensitivity of 94.18.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116219236","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: 6

Personal Authentication Using Inner Knuckle Print Based on RGB Images 基于RGB图像的指关节内指纹身份验证

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430234

Amirmohammad Kazemtarghi, Farzam Kharajinezhadian, S. Rashidi

引用次数: 0

Functional Brain Networks in Parkinson's Disease 帕金森病的功能性脑网络

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430243

Shirin Akbari, E. Fatemizadeh, Mohammad Reza Deevband

{"title":"Functional Brain Networks in Parkinson's Disease","authors":"Shirin Akbari, E. Fatemizadeh, Mohammad Reza Deevband","doi":"10.1109/ICBME.2017.8430243","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430243","url":null,"abstract":"Parkinson's disease (PD) is the second most common and progressive neurological disorder. Parkinson's signs are caused by dysfunction in PD patient's brain network. Newly, resting state functional magnetic resonance imaging has been utilized to assess the altered functional connectivity in PD patients. In this study, we investigated the properties of the brain network topology in 19 PD patients compared to 17 normal healthy group by means of graph theory. In addition, we used four different graph formation methods to explore linear and nonlinear relationships between fMRI signals. Each correlation measure created a weighted graph for each subject. Different graph characteristics have been extracted from the weighted graphs. Finally, we discovered between groups changes by nonparametric tests such as Mann-Whitney u-test and t-test. Based on our results, PD patients exhibited a marked reduction in centralization, a global measure, compared to healthy normal group. Furthermore, we explored alterations of brain network in terms of nodal-based properties. The obtained evaluations on topological properties suggest that Parkinson made alterations to the brain functional network.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129725300","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

Design and Fabrication of a Robust Bidirectional Current Source with Application to Transcranial Electrical Current Stimulation (tECS) Devices 用于经颅电流刺激(tECS)装置的鲁棒双向电流源的设计与制造

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430225

Ahmadreza Mohammadzadeh Ghomian, N. Samadzadehaghdam, Bahador MakktAbadi

{"title":"Design and Fabrication of a Robust Bidirectional Current Source with Application to Transcranial Electrical Current Stimulation (tECS) Devices","authors":"Ahmadreza Mohammadzadeh Ghomian, N. Samadzadehaghdam, Bahador MakktAbadi","doi":"10.1109/ICBME.2017.8430225","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430225","url":null,"abstract":"Recent neuroscience studies have shown that transcranial electrical stimulation (tES) of the brain can have neuromodulatory effects on brain disorders or cognitive performance. One type of tES is known as transcranial direct current stimulation (tDCS) in which electrodes are placed on the scalp and deliver direct current with tunable amplitudes to be propagated in cortical layer. These electrodes could act as cathode or anode. In this paper, we designed and implemented a robust bipolar current source which could be applied as sink or source so that there is no need to replace the electrode positions manually while changing the stimulation direction. This makes the device much more applicable and user-friendly. We have tested the designed current source specifications in simulation environment. It has proper output resistance (12 kΩ) in both DC and AC modes (0 to 700 kHz bandwidth) and the peak value of current up to 2 mA. It also does not suffer from problems such as unbalanced negative and positive feedbacks nor is not affected by the tolerance of resistors which are prevalent in Howland current sources.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"231 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133390522","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

Quantification of Blood Flow Velocity of the Internal Carotid Artery: A Comparison Between Phase-Contrast MRI and Doppler Ultrasound 颈内动脉血流速度的定量:相衬MRI与多普勒超声的比较

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430232

Tahere Sadat Safavi, N. Fatouraee, Effat Soleimani

{"title":"Quantification of Blood Flow Velocity of the Internal Carotid Artery: A Comparison Between Phase-Contrast MRI and Doppler Ultrasound","authors":"Tahere Sadat Safavi, N. Fatouraee, Effat Soleimani","doi":"10.1109/ICBME.2017.8430232","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430232","url":null,"abstract":"Noninvasive techniques for quantifying the blood flow velocity profile of the internal carotid artery are clinically valuable. In this study two modalities most frequently used for blood velocity estimation were compared. In the present study blood flow velocity waveform of the internal carotid artery of a healthy male subject was acquired using phase-contrast MRI and Doppler ultrasound modalities. The Doppler spectrum was denoised and maximum velocity envelope curve was extracted using an automatic MATLAB program. Furthermore, the phase-contrast MRI images were processes and the maximum velocity profile was extracted. The extremum values of two profiles as well as the area under the velocity curves were extracted and compared. Results of the present study showed that the overall pattern of the blood velocity waveforms obtained from two modalities were similar (R=0.84). However, Peak systolic, end diastolic and mean velocities resultant from two modalities have a difference of 7.48, 2.83 and 3.19 cm/s respectively. Our results demonstrated that there is a high correlation between blood velocities resulted from Doppler Ultrasound and Phase-contrast MRI and either techniques can be used for blood flow measurements in the internal carotid artery.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122094886","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

A Centrifugal Microfluidic Platform to Measure Hemoglobin of Whole Blood 离心微流控平台测定全血血红蛋白

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430272

E. Mahmodi Arjmand, M. Saadatmand, Mohammad Reza Bakhtiari, M. Eghbal, Alireza Balaei

{"title":"A Centrifugal Microfluidic Platform to Measure Hemoglobin of Whole Blood","authors":"E. Mahmodi Arjmand, M. Saadatmand, Mohammad Reza Bakhtiari, M. Eghbal, Alireza Balaei","doi":"10.1109/ICBME.2017.8430272","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430272","url":null,"abstract":"Microfluidics has been becoming more and more popular over last two decades. The reason for this, is inherent features of microfluidics including low consumption of samples and reagents, high sensitivity, short analysis time, and low cost. As well as, centrifugal microfluidics as a subset of microfluidics has been able to prove itself as a helpful tool in analytic assays. The main application of centrifugal microfluidic devices is being used in point-of-care testing systems. Herein, we presented a microfluidic disc for measuring hemoglobin(Hb) concentration in the EDTA-anticoagulated venous blood using cyanmethemoglobin method. In this experiment, at first a hand-made standard solution was made and using it, a linear standard curve was plotted. In order to detect of Hb concentration, we designed two inlets, one mixing chamber, and a detection chamber. In our design, the blood and Drabkin's solution due to the displacement between primary and secondary mixing chambers were mixed well and all erythrocytes were lysed completely. As well as, we designed the detection chamber in a way that, it is filled with fluid using inertial force without any bubble trapping. Then, the absorbance of samples was read out with a high-resolution spectrometer. Finally, in order to prove the assay procedure, the hemoglobin concentration of 11 blood samples was quantified. The results were compared with hematology analyzer data. The quantified values had good linearity and also good conformity with hematology analyzer data. In this experiment, the maximum standard deviation and the required time were ± 0.51 and 68 seconds, respectively.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334082","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

Modeling Activation of Oncogenes in the Cell Population of a Tissue Using Evolutionary Game Theory1 用进化博弈论模拟组织细胞群中癌基因的激活

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430278

Heydar Khadem, Z. Veisi, H. Kebriaei

引用次数: 0

Investigation of Functional Brain Networks in MDD Patients Based on EEG Signals Processing 基于脑电信号处理的重度抑郁症患者脑功能网络研究

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2017-11-01 DOI: 10.1109/ICBME.2017.8430273

Fatemeh Hasanzadeh, M. Mohebbi, R. Rostami

{"title":"Investigation of Functional Brain Networks in MDD Patients Based on EEG Signals Processing","authors":"Fatemeh Hasanzadeh, M. Mohebbi, R. Rostami","doi":"10.1109/ICBME.2017.8430273","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430273","url":null,"abstract":"Analysis of functional brain networks using graph theory metrics reveals informative aspects of brain functions. Major depressive disorder (MDD) which is a widespread disorder worldwide cause disruption in some brain functions and thus leads to brain network changes. To study the abnormality of brain function networks in MDD, functional brain networks were constructed from resting state EEG data of 16 MDD patients and 16 normal subjects. The networks based on phase lag index (PLI) were extracted in delta, theta, alpha, beta and total frequency bands. The extracted networks were binarized by Minimum Connected Component (MCC) technique. Average clustering coefficient, average characteristic path length and node degree for two groups were extracted. Results show significantly lower average characteristic path length in depressed group in alpha and total frequency bands. No significant differences in average clustering coefficient between two groups were observed. Higher average degree and higher average PLI in depressed group in alpha, beta and total frequency bands were also observed that may indicate over activation in some brain networks in depressed individuals.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115260999","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: 6