{"title":"Differential R-to-I conversion circuit for gas sensing in biomedical applications","authors":"Zeinab Hijazi, D. Caviglia, H. Chible, M. Valle","doi":"10.1109/MECBME.2016.7745412","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745412","url":null,"abstract":"In biomedical engineering specifically gas sensing applications, the concentration of the exhaled gas is converted to a variation in resistance, thus an electronic integrated interface circuit is required to analyze the exhaled gases, which are indications for many diseases. In this paper, a differential resistance to current conversion circuit for Electronic nose (E-nose) breath analyzer is presented. Over an input resistance range of more than 5-decades (500Ω to 100MΩ), a precision, less than 1%, required by novel gas sensing system in portable applications, is preserved. As a result, the proposed circuit obtains high accuracy under simulation. The outputs of the proposed Resistance to Current (R-to-I) conversion circuit achieve a percentage error below 0.25% under environment corners. The reliability of the proposed circuit is also investigated under the effect of process variations. In order to assess the correctness of the proposed architecture, the circuit was compared to similar solutions presented in literature. The proposed architecture attains a worst-case percentage error of 0.05%.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"57 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":"116301387","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}
{"title":"A system identification approach for recognition of personalized user motion patterns from mobile sensing data","authors":"Reem A. Mahmoud, F. Karameh, Hazem M. Hajj","doi":"10.1109/MECBME.2016.7745395","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745395","url":null,"abstract":"Human activity can serve as an identifier of subject health, behavioral patterns, and personal preferences. With the sudden splurge in mobile and wearable devices, activity data has become more readily available to design useful applications that enhance the users' everyday lives without any obtrusive intervention. This paper focuses on the use of a system identification approach to characterize human movement dynamics from accelerometer sensors during physical activity and subsequently to construct user-specific models that can potentially be incorporated in personalized healthcare and safety. The study investigates the human wrist-to-ankle dynamic relationship using various linear prediction model structures. It was found that the ARMAX model structure is the most widely applicable across stereotypical activity patterns (e.g. walking, running). Importantly, and after conducting a series of order selection and validation tests, it was noted that specific activities across multiple individuals can be fit within a common model where the orders are fixed and only the parameters of that model are tuned to individual users. A potential application of these common models to user identification, as reflected through the models' frequency responses, is discussed.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"7 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":"128089292","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}
{"title":"Channel combination selection for EHG bivariate analysis","authors":"D. Alamedine, M. Khalil, C. Marque","doi":"10.1109/MECBME.2016.7745408","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745408","url":null,"abstract":"The EHG signals are recorded using a multichannel system positioned on the woman's abdomen for the simultaneous recording of 16 channels of EHG. Several studies calculated the features related to EHG propagation by studying the coupling between all possible channels (bivariate analysis). Using all the possible features extracted to characterize propagation, from all possible combinations of channels, lead to a very large dimension of search and to a complex classification. Therefore, the aim of this paper is the selection of the most relevant channel combinations (using Fscore method), that provide the most useful information to discriminate between pregnancy and labor classes. This channel combination selection step is then followed by a feature selection method named genetic algorithm that is used to select the best features (from the propagation features used in this study) from the selected channel combinations. Additionally, we applied these selection steps on bipolar and monopolar EHG signals in order to see which is the best to use for the bivariate analysis.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"24 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":"131771173","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}
Maroun Geryes, S. Ménigot, Walid Hassan, Ali Mcheick, Marilys Almar, B. Guibert, Corinne Gautier, J. Charara, J. Girault
{"title":"A micro-embolic energy detector based on sub-band decomposition","authors":"Maroun Geryes, S. Ménigot, Walid Hassan, Ali Mcheick, Marilys Almar, B. Guibert, Corinne Gautier, J. Charara, J. Girault","doi":"10.1109/MECBME.2016.7745407","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745407","url":null,"abstract":"Cerebrovascular Accidents can be caused by cerebral emboli blocking brain blood vessels. Analysis of transcranial Doppler signals practically aids the detection of emboli. Signal processing methods have been proposed for emboli detection. In this study, we introduce a new micro-embolic energy detector composed of N detectors associated to N Doppler frequency sub-bands. To test our detectors, we propose a training phase during which we adjust the optimal number of sub-bands and detection thresholds and a testing phase through which we measure performances. Using real signals, we show that in terms of the number of sub-bands, 4 sub-bands provide the highest detection rate and lowest false alarm. Moreover, compared to standard detectors, the 4 sub-band energy detector reduces the false alarm rate from 44% to 36%, increases the detection rate from 66% to 79% and augments the Embolus to Blood Ratio from 24 dB to 40 dB. This new energy detector permits detecting smallest micro-emboli, precursors of coming large emboli with high stroke risks.","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":"129353944","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}
Khaled Safi, S. Mohammed, F. Attal, M. Khalil, Y. Amirat
{"title":"Recognition of different daily living activities using hidden Markov model regression","authors":"Khaled Safi, S. Mohammed, F. Attal, M. Khalil, Y. Amirat","doi":"10.1109/MECBME.2016.7745398","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745398","url":null,"abstract":"The human activity recognition is widely used for human behavior prediction especially for dependent people. This is achieved to provide safety, health monitoring, and well being of this population at home. In this paper, the problem of human activity recognition is reformulated as joint segmentation of multidimensional time series. The hidden Markov model regression (HMMR) is used to perform unsupervised segmentation strategy between activities using the expectation-maximization algorithm. This is accomplished over six logical scenarios of twelve daily activities such as stair descent, standing, sitting down, sitting, From sitting to sitting on the ground and sitting on the ground. To evaluate the performance of HMMR model, other unsupervised methods are used including K-means, Gaussian mixtures model and the hidden Markov model. The results show that the HMMR model provides the best results for the different scenarios with up to 97% in terms of correct classification rate.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"11 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":"125463052","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}
Y. Khairallah, T. Houri, G. Haddad, B. Osta, D. Romanos, R. Fakhoury
{"title":"Can the damage caused by anthropogenic activities on Urginea maritima in Bentael natural reserve be a signal of health problems?","authors":"Y. Khairallah, T. Houri, G. Haddad, B. Osta, D. Romanos, R. Fakhoury","doi":"10.1109/MECBME.2016.7745396","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745396","url":null,"abstract":"In the caza of “Byblos”, Lebanon, a new road has been constructed near the natural reserve of “Bentael”, threatening the fauna and the flora of the reserve. Among the 360 floral species, “Urginea maritima” has been declared rare by the United Nations Environment Program (UNEP)[1]. Concerns on the extinction of some species are getting serious. In order to elucidate the seriousness of these worries, “Urginea maritima” was chosen as a bio indicator to monitor the effects of this pollution on the reserve's flora. Ten parameters were studied: pH, total chlorophyll content, pheophytin, carotenoids, ascorbic acid, relative water content, proline, Air Pollution Tolerance Index, total carbohydrates content and hydrogen peroxides. Results show significant correlation between pollution load and the biochemical parameters analyzed from the different sites.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"20 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":"130358257","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}
Faris Mattar, Hala A. L. Qudaimat, B. Al Qaroot, Musa Al Yaman
{"title":"Low cost foot plantar-pressure scanning pad","authors":"Faris Mattar, Hala A. L. Qudaimat, B. Al Qaroot, Musa Al Yaman","doi":"10.1109/MECBME.2016.7745399","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745399","url":null,"abstract":"The aim of this investigation is to design and construct a demonstrative prototype of a low cost foot planter-pressure scanner that can assess health care providers in diagnosing and monitoring patients who are suffering from foot disorders. The prototype will be designed from a matrix of force sensitive sensors that measure the spread of forces on the plantar surface of the foot. Suitable Graphical User Interface (GUI) software is designed in order to fit with health care provider requirements.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"4 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":"123714274","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}
{"title":"Lower back MRI region-based segmentation for computer-aided systems","authors":"Rasha S. Aboul-Yazeed, A. El-Bialy","doi":"10.1109/MECBME.2016.7745419","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745419","url":null,"abstract":"Vertebral column (spine) and intervertebral disc (IVD) diseases are major sources of lower back pain. Exquisite segmentation of the spinal anatomy is salutary and substantial so as to be utilized for computer-aided diagnosis and computer-assisted surgery systems. A modified region-based segmentation approach was applied to magnetic resonance (MR) sagittal and axial plane images of different lumbosacral spine patients. It confers distinguished mean dice similarity coefficient of 0.99755 with low standard deviation of about 0.001 for axial plane IVD segmentation.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"21 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":"127780040","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}
Sahar Ismail, H. Nehme, Bassam A. Hussein, M. Hajj-Hassan
{"title":"Integration of Monte Carlo simulation tool for forecasting medical equipment risks in HIQMA system","authors":"Sahar Ismail, H. Nehme, Bassam A. Hussein, M. Hajj-Hassan","doi":"10.1109/MECBME.2016.7745397","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745397","url":null,"abstract":"As any technology, medical equipment provides benefits to patients, but they also present significant risks that can affect and threaten patient safety. In healthcare organizations, clinical engineering departments play a big role in maintaining the safety and reliability of medical equipment. In order to mitigate failures of such equipment and control risks, a proper Medical Equipment Management Program (MEMP) and a monitoring system should be established. The purpose of this paper is to forecast risks by using Failure Mode and Effect Analysis (FMEA) method and apply it on Monte Carlo simulation which adds risks analysis to Excel® by @RISK tool. The data of some medical devices is extracted from a hospital's maintenance management system and are identified according to their likelihood, severity, and difficulty of detection. However, the results of this mathematical simulation are integrated in a probability distribution function, and then this is integrated in the existing Hospital Institution Quality Management (HIQMA) system that enables us to identify medical equipment risks that affect patients, staff, and the work environment and mitigate them by providing contingency plans, policies, strategies, and other tactics.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"16 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":"123790578","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}
Roy Abi Zeid Daou, Rami Daccache, Gerges Andary, A. Hayek, J. Borcsok
{"title":"Design of a multifunctional universal mask for patients","authors":"Roy Abi Zeid Daou, Rami Daccache, Gerges Andary, A. Hayek, J. Borcsok","doi":"10.1109/MECBME.2016.7745416","DOIUrl":"https://doi.org/10.1109/MECBME.2016.7745416","url":null,"abstract":"This paper aims to present a universal mask that enables all adult patients to use it. This mask has a universal size and head gear. It has many options; from among we list the embedded SpO2 and EEG electrode connections. This mask enables also the input of oxygen, nebulizer, air CPAP and medication. A mechanical switch is used to select between air CPAP and nebulizer.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"50 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":"115134036","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}