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Analysis between ECG and respiration signals in type II diabetic patients in the UAE 阿联酋2型糖尿病患者的心电图和呼吸信号分析
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783274
Thuraia M. Alkhoori, Habiba S. Alsafar, A. Khandoker
{"title":"Analysis between ECG and respiration signals in type II diabetic patients in the UAE","authors":"Thuraia M. Alkhoori, Habiba S. Alsafar, A. Khandoker","doi":"10.1109/MECBME.2014.6783274","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783274","url":null,"abstract":"This study presents the first successful preliminary attempt to directly investigate the interactions of power spectra of electrocardiography (ECG) and respiration signals of patients with type II diabetes by coherence analysis. Also the interactions comparing angiotensin converting enzyme (ACE) genotyping groups. ECG and Respiration signals were collected from 43 non-diabetic healthy subjects and 55 patients with type II diabetes in the United Arab Emirates. Coherence between two signals over different frequency bands (0-0.4 Hz) were calculated for very low frequency (VLF: 0.003-0.04 Hz), low frequency (LF: 0.04-0.15Hz) and high frequency (HF: 0.15-0.4 Hz). Overall coherence of ECG and Respiration in HF band is higher in control group than that in the diabetic patients group. A significant (p=0.0162 and p=0.001 after age correction) difference of coherence in the range of 0.15-4 Hz was found between the two groups. Significant HF results for genotyping ACE groups with (p=0.002) were reported after correction for age. The results could be useful in detecting cardiovascular complications to characterize why diabetes population has a high incidence of heart disease. The genotyping analysis could be used for personalizing the diagnosis.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131902614","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
Poincaré plot analysis of heart rate variability in the diabetic patients in the UAE 阿联酋糖尿病患者心率变异性的poincar<e:1>图分析
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783280
H. Abubaker, Habiba S. Alsafar, H. Jelinek, K. Khalaf, A. Khandoker
{"title":"Poincaré plot analysis of heart rate variability in the diabetic patients in the UAE","authors":"H. Abubaker, Habiba S. Alsafar, H. Jelinek, K. Khalaf, A. Khandoker","doi":"10.1109/MECBME.2014.6783280","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783280","url":null,"abstract":"Major complications such as cardiac death and cardiac autonomic neuropathy are caused by diabetic autonomic neuropathy. Heart Rate Variability (HRV) analysis has shown to detect variations in the autonomic balance of heart rate and is useful for early detection of autonomic dysfunction. This study presents the outcome of HRV analysis of short ECG recordings taken from nondiabetic and type 2 diabetes patients, applying Poincaré plot indices represented by short term variation (SD1), long term variation (SD2) and complex correlation (CCM) measure which measures the temporal dynamics, for early detection of cardiac autonomic neuropathy. SD1 and the ratio SD1/SD2 were found to be significantly lower in type 2 diabetes patients than the control group. The highest discriminatory power was observed with CCM, indicating the advantage of using a dynamic measure for HRV rather than the static Poincaré plot indices. SD1 and CCM could be markers for CVD risk in type 2 diabetic patients.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116615785","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
Usability study of mobile social networking system among Saudi Type 2 diabetes patients (SANAD) 沙特2型糖尿病患者移动社交网络系统可用性研究
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783263
T. Alanzi, R. Istepanian, N. Philip
{"title":"Usability study of mobile social networking system among Saudi Type 2 diabetes patients (SANAD)","authors":"T. Alanzi, R. Istepanian, N. Philip","doi":"10.1109/MECBME.2014.6783263","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783263","url":null,"abstract":"In recent years, the use of social networking tools in the Gulf region and especially in the Kingdom of Saudi Arabia (KSA) has greatly increased, with the region having one of the highest percentages of social network users globally. The region also has one of the highest percentages of onset diabetes cases globally. There is an increasing interest in the effects of social networks on diabetes management. However, to date there has been no such study either in the Gulf region or in the KSA. In this paper, a new Saudi Arabia Networking Aiding Diabetes (SANAD) system is presented. SANAD would provide smart social behavioural change intervention and management for Saudi diabetic patients. In this paper, we present evaluations of the usability of the SANAD system among Saudi Type 2 diabetes patients. A questionnaire was designed and a survey using QUIS was used to collect data. A sample population of 33 diabetic patients in the Dammam region were surveyed. The key outcome from this study is that 80% of these patients indicated that the SANAD system would be an effective part of their diabetes management.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869744","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: 11
Performance analysis of mass transfer of hollow fiber hemodialyser with ultrafiltration and varied dialysate concentration 不同透析液浓度下超滤中空纤维血液透析器传质性能分析
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783243
M. Kamali, F. Hormozi, G. Karimi
{"title":"Performance analysis of mass transfer of hollow fiber hemodialyser with ultrafiltration and varied dialysate concentration","authors":"M. Kamali, F. Hormozi, G. Karimi","doi":"10.1109/MECBME.2014.6783243","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783243","url":null,"abstract":"A mathematical model of mass transfer in hollow fiber hemodialyser with simultaneous dialysis and ultrafiltration is developed numerically in this study. The influence of dialysate phase flow rate, flow rate configuration (co- and counter-current) and ultrafiltration velocity are investigated. The numerical simulations show that the introduction of ultrafiltration effects in a dialysis system can improve separation as compared with the pure dialysis without ultrafiltration.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132447126","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
Newborn sleep stage identification using multiscale entropy 基于多尺度熵的新生儿睡眠阶段识别
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783278
L. Fraiwan, K. Lweesy
{"title":"Newborn sleep stage identification using multiscale entropy","authors":"L. Fraiwan, K. Lweesy","doi":"10.1109/MECBME.2014.6783278","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783278","url":null,"abstract":"Neonatal sleep stage identification is of great importance as it helps diagnosis of certain possible disabilities in newborns. The sleep stage identification is normally done manually for an entire sleep recording which requires great human resources; therefore a reliable automated sleep stage identification system offers a helpful tool for specialists. This study demonstrated a new method for automated sleep stage scoring in neonates. The automated approach comprises two major steps: feature extraction and classification. This study presented a new approach for feature extraction based on multiscale entropy (MSE), a recently developed method for the analysis of time series and physiological signals. The features were extracted from a single EEG recording where 13 recordings from preterm infants and 14 from full term infants were used. The classification was done using the Weka software with three different classifiers: neural networks, random forests, and classification via regression. The performance of the proposed method was found to be comparable to the methods reported in the literature. The reported accuracy was found to be 0.813 for preterm subjects and 0.864 for fullterm subjects.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129186876","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
Improving measurement of hip joint center location using neural networks 利用神经网络改进髋关节中心位置测量
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783273
A. Abdulrahman, K. Iqbal
{"title":"Improving measurement of hip joint center location using neural networks","authors":"A. Abdulrahman, K. Iqbal","doi":"10.1109/MECBME.2014.6783273","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783273","url":null,"abstract":"In human movement analysis accuracy of locating the hip joint center (HJC) becomes important in measurements of the hip muscle lengths and hip moment arms. Conventional gait analysis methods use regression and polynomial estimation techniques based on cadaver measurements to locate the HJC. Keeping in view the importance of Neural Networks (NN) in estimation, two Feedforward NN were constructed to estimate the HJC position from training sets of actual HJC positions from MRI data. First network was based on data from 32 subjects (8 adults, 14 children and 10 children with cerebral palsy), and second NN based on 22 healthy subjects. Estimation results were compared with multivariable linear regression (MR) and Newington-Gage (NG) methods. From the validation data, the proposed networks reduced error in HJC position estimation by approximately 69% compared to NG method, and 30% compared to the MR method.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129862320","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
New T-wave parameters describing repolarization abnormalities induced by drug 描述药物引起的复极异常的新t波参数
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783248
N. Khodor, G. Carrault, P. L'Hostis, H. Amoud, M. Khalil, A. Hernández
{"title":"New T-wave parameters describing repolarization abnormalities induced by drug","authors":"N. Khodor, G. Carrault, P. L'Hostis, H. Amoud, M. Khalil, A. Hernández","doi":"10.1109/MECBME.2014.6783248","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783248","url":null,"abstract":"In this study, we identify additional markers extracted from the T-wave of vectrocadiogram sensitive to the variation induced by drug. These parameters which were not tested before for drug effect evaluation were compared with other T-wave indicators by beat to beat calculation of all parameters using different mathematical tools on the ECG of two patients with nearly 6 hours recordings from a clinical d-Sotalol study. The results confirm the QT-interval prolongation induced by d-Sotalol and show high sensitivity of the new parameters even with reduced concentration of d-Sotalol.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131535231","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
Tissue perfusion in Fluid therapy 液体疗法中的组织灌注
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783239
J. Siam, O. Barnea
{"title":"Tissue perfusion in Fluid therapy","authors":"J. Siam, O. Barnea","doi":"10.1109/MECBME.2014.6783239","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783239","url":null,"abstract":"Fluid resuscitation affects blood flow and oxygen concentration. Administered fluid increases blood flow and oxygen delivery rate but also decreases blood oxygen concentration. This study aims at analyzing these two effects on oxygen supply to tissue to determine an optimal fluid regimen. For this purpose a hemodynamic model of the cardiovascular system and a model of oxygen transfer to tissue were developed and combined. Simulation results showed that indeed fluid administration increases oxygen delivery by the blood stream. However, oxygen transfer to tissue deteriorates during the course of the fluid therapy due to the high sensitivity of oxygen diffusion to oxygen partial pressure in the blood.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129138965","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
Particle filter-assisted positioning method for identifying RFID-tag implanted in the organism 用于识别植入生物体内的rfid标签的粒子滤波辅助定位方法
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783267
Gen Imai, Katsushi Matsuda, Hiromi Takahata, M. Okada
{"title":"Particle filter-assisted positioning method for identifying RFID-tag implanted in the organism","authors":"Gen Imai, Katsushi Matsuda, Hiromi Takahata, M. Okada","doi":"10.1109/MECBME.2014.6783267","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783267","url":null,"abstract":"This paper proposes a three-dimensional positioning method using particle filter for identifying a miniature RFID (Radio Frequency Identification) tag implanted in the organism. The RFID-based tumor marker for identifying the position and size of the tumor has been proposed. Although it is efficient in some applications, it takes a long time to point out the position because of scanning the sensor antenna for wide area of interest. Furthermore, the position is often lost due to motion of the organism. In order to find and track the RFID-tag position, this paper introduces a particle filter-assisted three-dimensional positioning method. The likelihood function, which is not only take into account the received signal power, but also the attitude and position of the sensor antenna and the motion of the RFID-tag, is applied to the particle filter to estimate the position. Computer simulation result shows that the proposed scheme is capable of estimating the three-dimensional position of the RFID-tag.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128893789","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
Improving P300 and SCP-based Brain computer interfacing by spectral subtraction denoising 用谱减法去噪改进P300与基于scp的脑机接口
2nd Middle East Conference on Biomedical Engineering Pub Date : 2014-02-01 DOI: 10.1109/MECBME.2014.6783246
Meena M. Makary, Y. Kadah
{"title":"Improving P300 and SCP-based Brain computer interfacing by spectral subtraction denoising","authors":"Meena M. Makary, Y. Kadah","doi":"10.1109/MECBME.2014.6783246","DOIUrl":"https://doi.org/10.1109/MECBME.2014.6783246","url":null,"abstract":"A new denoising technique for preprocessing of P300 and Slow Cortical Potential (SCP)-based Brain computer interface data is proposed. This new technique adaptively removes the superimposed noise using a modified version of spectral subtraction method. A better performance is achieved especially when less number of electrodes is used which accordingly reduce weight and consumed power for portable BCI applications. Classification accuracy and bitrate estimate were used as quantitative performance measures. Results showed better performance when compared to preprocessing without denoising and with using the relevant and widely used wavelet shrinkage denoising method. Results proved the practical utility of this method and we suggest adding it to different BCI experiments.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130618261","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
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