2016 3rd Middle East Conference on Biomedical Engineering (MECBME)最新文献

A comparison of post-processing techniques on the performance of EMG based pattern recognition system for the transradial amputees 基于肌电图的经桡骨截肢者模式识别系统的后处理技术比较

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-06 DOI: 10.1109/MECBME.2016.7745405

Ali H. Al-timemy, R. Khushaba, J. Escudero

{"title":"A comparison of post-processing techniques on the performance of EMG based pattern recognition system for the transradial amputees","authors":"Ali H. Al-timemy, R. Khushaba, J. Escudero","doi":"10.1109/MECBME.2016.7745405","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745405","url":null,"abstract":"Pattern recognition control applied on surface electromyography (EMG) from the extrinsic hand muscles has shown great promise for the control of powered prosthetics for transradial amputees. The use of limb prostheses is essential for maintaining personal independence and a more effective inclusion in society. However, due to their poor control, imposed by the reduced accuracy of hand movement classification, EMG-driven upper limb prostheses are still not widely used. Hence, post-processing techniques were proposed to reduce the misclassification rates. In this paper, we investigate the effect of two post-processing techniques, namely majority vote and Bayesian fusion, on the performance of EMG-based PR systems when applied on amputees. We measured the effectiveness of a number of time and frequency-based feature extraction methods with different post-processing techniques and various numbers of voting decisions. EMG data was collected from four transradial amputees while imagining seven classes of hand movements. Our results suggested that the recently proposed Time Domain Power-Spectral Descriptors (TD-PSD) can significantly enhance the performance of EMG pattern recognition and that the use of the suggested post-processing techniques can further enhance the performance of EMG-based PR systems, with error rates of approximately 5% on average across all amputees. Additionally, in problems with a large number of EMG channels, no significant differences were observed between the performance of both Bayesian fusion and majority vote.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115083996","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

On-line optimal design of process noise covariance in nonlinear Kalman Filters: A hemodynamic model application 非线性卡尔曼滤波器中过程噪声协方差的在线优化设计:一个血流动力学模型的应用

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745400

Mahmoud K. Madi, F. Karameh

引用次数: 1

Reduction of Parkinsonism disorder symptoms using passive dual absorbers 使用被动双重吸收剂减轻帕金森病症状

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745415

S. Gebai, M. Hammoud

{"title":"Reduction of Parkinsonism disorder symptoms using passive dual absorbers","authors":"S. Gebai, M. Hammoud","doi":"10.1109/MECBME.2016.7745415","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745415","url":null,"abstract":"Passive vibration absorber can be used as an effective device for tremor reduction of the involuntary tremor at proximal joints in hand of elderly patients suffering from Parkinsonism. Dual vibration absorber are suggested to reduce the Parkinson's tremor of a dynamic hand system excited using two harmonic excitation resonance frequencies in range of resting tremor. The three degree of freedom hand is actuated by the shoulder, elbow and wrist joint muscles activation to produce the involuntary flexion motion. The dual parallel conventional absorber and the dual series absorber which is modeled as an elastic absorber and viscous damper connected in series are designed to satisfy the tuning condition at both resonance frequencies. The dual parallel absorber reduces 57.0-82.5%, 51.6-76.9% and 26.6-62.0% of the flexion motion at the shoulder, elbow and wrist joints in the time domain, respectively. The dual series absorber reduces 82.6-97.3%, 77.24-84.2% and 33.0-62.0% of the flexion motion at the shoulder, elbow and wrist joints in time domain, respectively. Both absorbers are very useful in controlling the rest tremor and can be used by elderly patients instead of medications which may risk their lives.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126507646","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

Polar coded MIMO wireless EEG system 极性编码MIMO无线脑电图系统

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745406

H. K. Chaiel

引用次数: 1

Electromyographic control of a robotic arm for educational purposes 用于教育目的的机械臂肌电图控制

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745424

Marcos D. Azulay, M. I. Pisarello, J. Monzon

引用次数: 1

An adaptive nonlinear autoregressive approach for modeling biological signals 生物信号建模的自适应非线性自回归方法

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745409

U. C. Eid, F. Karameh

引用次数: 0

Portable EEG recording system for BCI application 用于脑机接口的便携式脑电图记录系统

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745413

S. Rihana, T. Azar, E. Bitar

引用次数: 1

Multi-variant bioreactor for cartilage tissue engineering 用于软骨组织工程的多变体生物反应器

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745418

Waddah Malaeb, R. Mhanna, R. Hamade

{"title":"Multi-variant bioreactor for cartilage tissue engineering","authors":"Waddah Malaeb, R. Mhanna, R. Hamade","doi":"10.1109/MECBME.2016.7745418","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745418","url":null,"abstract":"Articular cartilage is a stratified tissue with distinct layers expressing different protein types/amounts and having different cell morphologies. Research on articular cartilage has shown that compression, hydrostatic pressure, and hypoxic conditions tend to give the articular cartilage the properties of the middle and bottom layers of the natural tissue, while surface motion and normoxic conditions induce a superficial zone cartilage phenotype. Our objective is to build a bioreactor that can control all of these parameters in order to test for different values and find optimal ranges to create an engineered cartilage tissue with ideal characteristics. Thus we built a four-chamber bioreactor that can apply hydrostatic pressure, compression, shear and torsion, in addition to controlling oxygen tension supplied to the cartilage. The mechanical simulation is applied using a gear-rack mechanism having a frequency of 0.5Hz. The oxygen tension is controlled by electric valves connected to O2 and N2 bottles coming to the bioreactor's chambers, oxygen and pressure sensors are used in the process. The bioreactor is controlled and coded using Arduino software. After building the bioreactor, a Matlab computer vision test was done to check for the precision of the mechanism, and finally injurious and proliferation tests were performed to check for the effectiveness of the bioreactor. Results of the precision testing showed a 4% error for a 1mm displacement. Results of the injurious tests showed significant numbers of dead cells for compressive forces larger than 10 MPa. In conclusion, our newly developed system is capable of delivering a variety of mechanical stimuli and oxygen tension simulating those in native cartilage. The importance of this system lies in its applicability to cartilage but also to other mechanoresponsive and oxygen sensitive tissues such as bone, muscle, tendons, ligaments, and blood vessels. In the future, we plan to improve our bioreactor by using a cam-follower mechanism for higher precision.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129499714","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

Developing a skin conductance device for early Autism Spectrum Disorder diagnosis 开发用于早期自闭症谱系障碍诊断的皮肤电导装置

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745426

B. Nehme, R. Youness, T. Hanna, W. Hleihel, R. Serhan

引用次数: 9

Automated localization and segmentation of brain lesions due to hemiplegia using windowing-based entropy comparison 基于窗口熵比较的偏瘫脑损伤自动定位与分割

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745420

A. Ali, Hassan Ahmad, Soha Saleh

{"title":"Automated localization and segmentation of brain lesions due to hemiplegia using windowing-based entropy comparison","authors":"A. Ali, Hassan Ahmad, Soha Saleh","doi":"10.1109/MECBME.2016.7745420","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745420","url":null,"abstract":"Magnetic Resonance Imaging is the most popular imaging technique used to in brain lesion diagnosis. Brain lesions due to Stroke appear as a gray region similar in color to some normal tissues like gray matter. Manual extraction of brain lesion is time-consuming. On the other side, current automated methods require either multispectral MR images or extensive time of training. To avoid these problems, this paper suggests a novel automated brain lesion recognition method that uses single spectral MR images to efficiently extract brain lesions with a reasonable amount of time and with acceptable accuracy. By applying this method, it can distinguish brain lesions automatically. The principle of operation and mathematical characterization of the suggested algorithm are given in details. The results of the proposed algorithm using a single T1 weighted MR images for stroke subjects and for healthy subjects with simulated brain lesions are presented. Results showed that the suggested window-based entropy comparison method could identify a lesion with a minimum size of 10×10×10 mm and with an average accuracy of 3 voxels and success rate of 91%.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235457","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