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

A videoconferencing platform for eHealth services in Jordan 约旦电子保健服务的视频会议平台

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745417

A. Khalifeh, M. Al-Taee, Firas Alabsi, Saif Alrawi, Ayman Murshed

引用次数: 7

Design and development of a rehabilitative eye-tracking based home automation system 基于康复眼动追踪的家庭自动化系统的设计与开发

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745401

Georges Boustany, Alaa El Deen Itani, Rayan Youssef, Omar Chami, Z. O. Abu-Faraj

{"title":"Design and development of a rehabilitative eye-tracking based home automation system","authors":"Georges Boustany, Alaa El Deen Itani, Rayan Youssef, Omar Chami, Z. O. Abu-Faraj","doi":"10.1109/MECBME.2016.7745401","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745401","url":null,"abstract":"Locked-in syndrome is known to be a condition in which a patient loses the ability to control nearly all voluntary muscles in the body except for the eye. In today's world, healthcare facilities have the means and equipment necessary to help such patients and take care of their needs, which includes medical care and patient comfort. However, such dedicated professional services are not commonly provided at the patient's dwelling, and more can still be done when it comes to patient's comfort and self-reliance. This paper delineates the design and development of an eye-tracking based home automation system that provides the targeted locked-in patient with the ability to control appliances using his/her eyes. In the developed system, eye movement, pupil position, size, and velocity are determined using a built-in laptop camera in conjunction with a series of algorithms coded in MATLAB®. The camera is adjusted in such a way so as to be leveled horizontally with the eye-sight of the patient. Further algorithms are to allow the user to control and move the mouse cursor with his/her eye movements. A specially designed graphical user interface provides the individual with the options as to what he/she wishes to control. An Arduino microcontroller differentiates the received instructions from the user and provides an output to the intended device. The controlled appliances within the patient's habitat are doors, window shutters, lightings, bed control, television set, and heating ventilation and air-conditioning. Further modular improvement of this system could be introduced as need arises. The system was validated using a series of tests on normal control individuals. The validation results show high accuracy and precision. The significance of this system lies in helping locked-in patients gain control over some aspects of their lives; accordingly, they will no longer require continuous assistance to secure their comfort but rather be self-reliant.","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":"122245209","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

Computer-aided detection of Melanoma using geometric features 基于几何特征的黑素瘤计算机辅助检测

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745423

Rebecca Moussa, Firas Gerges, C. Salem, Romario Akiki, O. Falou, D. Azar

引用次数: 33

Face Detection with Expression Recognition using Artificial Neural Networks 基于人工神经网络的表情识别人脸检测

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745421

M. Owayjan, Roger Achkar, Moussa Iskandar

{"title":"Face Detection with Expression Recognition using Artificial Neural Networks","authors":"M. Owayjan, Roger Achkar, Moussa Iskandar","doi":"10.1109/MECBME.2016.7745421","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745421","url":null,"abstract":"This paper presents a Face Detection System with Expression Recognition using Artificial Neural Networks. It is an automated vision system designed and implemented using MATLAB. The Face Detection with Expression Recognition system accomplishes facial expression recognition through two phases. The captured image is processed first to detect the face, and then the facial expression is recognized. These two phases are completed in five stages. The first two stages of the system deal with detecting and cropping the face using image processing, in particular the Viola-Jones object detection framework. The third stage deals with converting the colors of the cropped image from RGB into gray scale and applying the appropriate smoothing filter. The fourth stage consists of feature extraction using Artificial Neural Networks, so as the extracted features are compared with training samples. The final stage classifies the given outputs and shows facial expression recognition results. It then determines whether the subject is happy, angry or in neutral state. The Artificial Neural Network uses Multi-Layer-Perceptron (MLP) with back propagation algorithm for features extraction and classification. It has 4097 input nodes, one hidden layer with 50 neurons, and one output layer. Testing results show that this system can be used for interpreting three facial expressions: happiness, anger and neutral. It extracts accurate outputs that can be employed in other fields of studies such as psychological assessment. Finally, the high precision of the results allow future development of different applications which respond to spontaneous facial expressions in real time.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"60 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":"121551937","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: 24

Estimation and compensation of a biomedical sensor's response delay using extended Kalman filter 基于扩展卡尔曼滤波的生物医学传感器响应延迟估计与补偿

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745404

A. Al-Zaben, Ismail Arafat

引用次数: 2

Differentiation between cellularized and decellularized mouse kidneys using mean scatterer spacing: A preliminary study 用平均散射体间距区分细胞化和去细胞化小鼠肾脏:初步研究

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745422

R. Nasr, O. Falou, E. Hysi, L. Wirtzfeld, E. Berndl, Michael C. Kolios

引用次数: 3

Impaired hand movement tracking device with real-time visual feedback 带有实时视觉反馈的手部运动追踪装置

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745411

Houssam N. Hneineh, Alaa A. Moselmani, Ali Hage-Diab, S. Saleh

引用次数: 4

A 2D clustering approach investigating inter-hemispheric seizure flow by means of a Directed Transfer Function 用定向传递函数研究大脑半球间癫痫发作流的二维聚类方法

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745410

E. B. Assi, M. Sawan, D. K. Nguyen, S. Rihana

引用次数: 9

Wearable fall detection system 可穿戴跌倒检测系统

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-10-01 DOI: 10.1109/MECBME.2016.7745414

S. Rihana, J. Mondalak

{"title":"Wearable fall detection system","authors":"S. Rihana, J. Mondalak","doi":"10.1109/MECBME.2016.7745414","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745414","url":null,"abstract":"Falling is a serious issue among old aged population; it leads to severe injuries and consequences. Inability to move after a fall means that the subject cannot ask for help by himself, which increases the percentage of fall-induced injuries significantly. The objective of this paper is to design and to implement a fall detection and alert system for the elderly persons. It aims to facilitate the help after a fall, by featuring on-demand or automatic communication between them and caregivers. The system consists of a wearable monitoring device. The device is able to accurately distinguish falls from non-falls of elderly persons and then, by using existing proven technologies (GPS, GSM/GPRS), alerts their caregivers. Upon detecting a fall, the embedded system encompassing the accelerometer sensor, the GPS receiver, the processing unit and the GSM module send a warning message alerting others that a fall occurred along with its orientation. In addition, the device is able to alert caregivers that the user has left his place by sending an SMS containing his location (latitude and longitude coordinates) as soon as he crosses a predefined threshold distance. The developed prototype was evaluated and showed satisfactory performance.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"135 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":"131946407","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: 15

Brain network modules of meaningful and meaningless objects 有意义和无意义对象的大脑网络模块

2016 3rd Middle East Conference on Biomedical Engineering (MECBME) Pub Date : 2016-07-02 DOI: 10.1109/MECBME.2016.7745402

J. Rizkallah, P. Benquet, F. Wendling, M. Khalil, A. Mheich, O. Dufor, M. Hassan

{"title":"Brain network modules of meaningful and meaningless objects","authors":"J. Rizkallah, P. Benquet, F. Wendling, M. Khalil, A. Mheich, O. Dufor, M. Hassan","doi":"10.1109/MECBME.2016.7745402","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745402","url":null,"abstract":"Network modularity is a key feature for efficient information processing in the human brain. This information processing is however dynamic and networks can reconfigure at very short time period (few hundreds of millisecond). This requires neuroimaging techniques with sufficient time resolution. Here the dense electroencephalography (EEG) source connectivity methods were used to identify cortical networks with excellent time resolution (in the order of millisecond). Functional networks were identified during picture naming task. Two categories of visual stimuli were presented: meaningful (tools, animals...) and meaningless (scrambled) objects. In this paper, we report the reconfiguration of brain network modularity for meaningful and meaningless objects. Results showed mainly that networks of meaningful objects were more modular than those of meaningless objects. Networks of the ventral visual pathway were activated in both cases; however a strong occipito-temporal functional connectivity appeared for meaningful object but not for meaningless object. We believe that this approach will give new insights into the dynamic behavior of the brain networks during fast information processing.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130856862","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