2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences最新文献

筛选
英文 中文
EyePiano: A piano interface for disabled to compose piano music via eye movements EyePiano:一个让残疾人通过眼球运动来创作钢琴曲的钢琴界面
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498095
G. Boteju, M. Perera
{"title":"EyePiano: A piano interface for disabled to compose piano music via eye movements","authors":"G. Boteju, M. Perera","doi":"10.1109/IECBES.2012.6498095","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498095","url":null,"abstract":"Human Computer Interaction via eye movements has become a common way of fulfilling disabled people's day to day needs. There is a need of exploring more on computer-mediated performance arts to help disabled people to express themselves in a different manner. Music is the subjected area which disabled people get to involve with this project, as music is a powerful language which can make a great impact on people. As piano is the key instrument in composing music and also most of the people's favourite music instrument, in this paper author present the EyePiano, an alternative to real piano music instrument. Mainly the prototype which has been implemented developed using OpenCV. It was successfully tested and evaluated. Most of the evaluators have rate it as a good project and find it as very useful and effective project.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121039191","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
Intelligent massage chair based on blood pressure and heart rate 基于血压和心率的智能按摩椅
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498196
H. Jaafar, A. Fariz, S. A. Ahmad, N. Yunus
{"title":"Intelligent massage chair based on blood pressure and heart rate","authors":"H. Jaafar, A. Fariz, S. A. Ahmad, N. Yunus","doi":"10.1109/IECBES.2012.6498196","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498196","url":null,"abstract":"Massage is one of the effective techniques used to relieve pain, reduce stress, and increase relaxation. Nowadays, massage methods have varied to an easier way by electronic massage chair massage which is able to control the massage mode according to specifications. Commercial massage chair can only be used on normal healthy people with no health complication, such as diabetes, heart problem or blood pressure problem. The purpose of this study is to develop a system of more advanced massage chair where it can have an impact on user health based on blood pressure and heart rate. The proposed massage chair equipped with blood pressure and heart rate sensors, where the therapy will automatically configured according to individual's blood pressure and heart rate readings. The proposed control system developed using the artificial intelligent of fuzzy logic for data classification. The complete model of this massage control system is then developed using SIMULINK software to simulate the whole system operation and verify the function as programmed. Upon the success of the investigation, the findings will be useful for rapid advances in the existing technology.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115549277","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
Use of a portable device for measuring arm's planar mechanical impedance during motion 使用便携式装置测量手臂运动时的平面机械阻抗
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498166
Hossein Mousavi Hondori, M. Khademi, C. Lopes
{"title":"Use of a portable device for measuring arm's planar mechanical impedance during motion","authors":"Hossein Mousavi Hondori, M. Khademi, C. Lopes","doi":"10.1109/IECBES.2012.6498166","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498166","url":null,"abstract":"This paper proposes the design and use of a portable device for measuring the impedance of human arm during reaching motion. While the device looks and weighs like an ordinary mug, it contains a DC motor, which rotates an eccentric mass, and a 2-axis inertia sensor, which monitors vibration. The centrifugal force due to the rotating eccentric mass applies a perturbing force to the hand; correlation of the acceleration signals with the perturbing force gives the posture dependant mechanical impedance in form of ellipses. The method can configure an impedance ellipse in 0.1 second and can repeat it continuously over the course of reaching; hence for every second of a reaching trial, the device obtains 10 impedance ellipses, which is considerably faster than previous methods. Experimental data collected by the device during reaching motion are also presented.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130968652","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
EEG based estimation of hearing frequency perception by artificial neural networks 基于脑电的听觉频率感知人工神经网络估计
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498083
P. PaulrajM, S. Yaccob, A. H. Adom, Kamalraj Subramaniam, R. HemaC.
{"title":"EEG based estimation of hearing frequency perception by artificial neural networks","authors":"P. PaulrajM, S. Yaccob, A. H. Adom, Kamalraj Subramaniam, R. HemaC.","doi":"10.1109/IECBES.2012.6498083","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498083","url":null,"abstract":"Auditory evoked potentials are a type of EEG signal emanated from the scalp of the brain by an acoustical stimulus. In this paper, auditory evoked potential (AEP) signals emanated while hearing the click-sound stimuli excited at three different frequencies were recorded. Spatio-temporal features of four distinct bands were extracted from the recorded AEP signal. The extracted features were then associated to the hearing frequency perception response of an individual and neural network models for left and right ears were developed. The maximum classification accuracy of the developed neural network model in discriminating the hearing frequency perception response of a person has been observed as 94.5 per cent.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131192834","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
Haptic Augmented Reality to monitor human arm's stiffness in rehabilitation 触觉增强现实在康复中监测人类手臂的僵硬
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498168
M. Khademi, Hossein Mousavi Hondori, C. Lopes, L. Dodakian, S. Cramer
{"title":"Haptic Augmented Reality to monitor human arm's stiffness in rehabilitation","authors":"M. Khademi, Hossein Mousavi Hondori, C. Lopes, L. Dodakian, S. Cramer","doi":"10.1109/IECBES.2012.6498168","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498168","url":null,"abstract":"Augmented Reality (AR) is a live, direct or indirect, view of a physical, real-world environment whose elements are overlaid by virtual, computer generated objects. In this paper, AR is combined with haptics in order to observe human arm's stiffness. A haptic, hand-held device is used to measure the human arm's impedance. While a computer vision system tracks and records the position of the hand, a computer screen displays the impedance diagrams superimposed on the hand in a real-time video feed. The visual augmentation is also performed using a video projector that project's the diagrams on the hand as it moves.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"180 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980711","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: 48
Static output feedback stabilization of nonlinear fractional-order glucose-insulin system 非线性分数阶葡萄糖-胰岛素系统的静态输出反馈镇定
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498043
I. N’Doye, H. Voos, Mohamed Darouach, J. G. Schneider, N. Knauf
{"title":"Static output feedback stabilization of nonlinear fractional-order glucose-insulin system","authors":"I. N’Doye, H. Voos, Mohamed Darouach, J. G. Schneider, N. Knauf","doi":"10.1109/IECBES.2012.6498043","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498043","url":null,"abstract":"Diabetes is a long-term disease during which the body's production and use of the insulin are impaired, causing glucose concentration level to increase in the bloodstream. The blood glucose dynamics is described using the generalized minimal model structure for the intravenously infused insulin-blood glucose, which can represent a wide variety of diabetic patients. In this paper, it is an attempt to incorporate fractional-order derivative into the mathematical minimal model of glucose-insulin system dynamics and it is still an interesting challenge to determine, mathematically, how the order of a fractional differential system affects the dynamics of system. The paper presents the asymptotical stabilization problem of nonlinear fractional-order glucose-insulin systems. A static output feedback control is considered for the problem. Sufficient conditions for the asymptotical stabilization of the nonlinear fractional-order glucose-insulin system are derived in terms of linear matrix inequalities (LMIs) formulation by using the fractional Lyapunov direct method where the fractional-order α belonging to 0 <; α <; 1. Finally, numerical simulations are carried out to illustrate our proposed results. These numerical simulations show that the nonlinear fractional-order glucose-insulin systems are, at least, as stable as their integer order counterpart.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114801222","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
Hospital database workload and fault forecasting 医院数据库工作负载和故障预测
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498150
P. Silva, C. Quintas, J. Duarte, M. Santos, J. Neves, A. Abelha, J. Machado
{"title":"Hospital database workload and fault forecasting","authors":"P. Silva, C. Quintas, J. Duarte, M. Santos, J. Neves, A. Abelha, J. Machado","doi":"10.1109/IECBES.2012.6498150","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498150","url":null,"abstract":"With the growing importance of hospital information systems, databases became indispensable tools for day-to-day tasks in healthcare units. They store important and confidential information about patients clinical status and about the other hospital services. Thus, they must be permanently available, reliable and at high performance. In many healthcare units, fault tolerant systems are used. They ensure the availability, reliability and disaster recovery of data. However, these mechanisms do not allow the prediction or prevention of faults. In this context, it emerges the necessity of developing a fault forecasting system. The objectives of this paper are monitoring database performance to verify the normal workload for the main database of Centro Hospitalar do Porto and adapt a forecasting model used in medicine into the database context. Based on percentiles it was created a scale to represent the severity of situations. It was observe that the critical workload period is the period between 10:00 am and 12:00 am. Moreover, abnormal situations were detected and it was possible to send alerts and to request assistance.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123880276","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
Intelligent emotion recognition system using brain signals (EEG) 基于脑信号的智能情绪识别系统
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498050
Janani Harischandra, M.U.S. Perera
{"title":"Intelligent emotion recognition system using brain signals (EEG)","authors":"Janani Harischandra, M.U.S. Perera","doi":"10.1109/IECBES.2012.6498050","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498050","url":null,"abstract":"Human emotion is a complex and psycho physiological state of mind which can be expressed as positive or negative reactions to external and internal stimuli. Typical communication channels that indicate emotions are voice and facial expressions. People who are paralyzed or have other severe movement disorders have no way of expressing their emotions thereby forming a wide communication rift between them and the outside world. Communication through eye tracking is one of the alternative ways of giving such disabled patients to interact with the outside world. This paper investigates the possibility of recognizing emotions using signal processing of Electroencephalography using discrete wavelet transform and feeding appropriate values to an adaptive neuro fuzzy inference system for classification. The system enables severely disabled as well as able users to interact with the system using eye movement in order to respond to detected emotion. The solution can be used to detect emotions of motor disabled people and provision a means of communication; also it is a learning tool for trainee neurologists. The prototype was built using Matlab successfully and it was evaluated by experts and the intended users very creditably stating it as a useful software for disabled people.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123974044","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
A review of commercially available non-invasive vascular screening technologies for clinical applications 市售无创血管筛查技术的临床应用综述
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498140
V. Sohani, E. Zahedi, K. Chellappan, M. A. M. Ali
{"title":"A review of commercially available non-invasive vascular screening technologies for clinical applications","authors":"V. Sohani, E. Zahedi, K. Chellappan, M. A. M. Ali","doi":"10.1109/IECBES.2012.6498140","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498140","url":null,"abstract":"Cardiovascular diseases contribute to one third of the world's mortality and morbidity, therefore early cardiovascular disease diagnosis, treatment and monitoring has become an important market. Ideally, an early diagnosis device will need to be accurate, non-invasive, low cost and operator independent. Interestingly enough, there is a wide range of non-invasive devices available, but each with a different degree of accuracy and ease of use. In this paper, an attempt has been made to review commercially available technologies for non-invasive vascular screening. As stiffness index, reflection index, augmentation index, central aortic pressure are most commonly used to screen for vascular risk, these indices are first defined. Then existing technologies are categorized into four main sections: tonometer, pressure cuff, ultrasound and photoplethysmography. The characteristics of the ten most popular devices are then tabulated, with emphasis on which index is measured and whether the device in question has been properly validated. It is thought that this short review will provide a reference for potential clinicians as well as researchers in the field, allowing them to select the adequate device matching their requirements. Our review points to the fact that current devices, although claiming to be clinically oriented, are more research focused rather than clinical/home-based monitoring.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115131423","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
Discovering pattern in medical audiology data with FP-growth algorithm 用fp增长算法发现医学听力学数据中的模式
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Pub Date : 2012-12-01 DOI: 10.1109/IECBES.2012.6498081
Nasir G. Noma, Mohd Khanapi Abd. Ghani
{"title":"Discovering pattern in medical audiology data with FP-growth algorithm","authors":"Nasir G. Noma, Mohd Khanapi Abd. Ghani","doi":"10.1109/IECBES.2012.6498081","DOIUrl":"https://doi.org/10.1109/IECBES.2012.6498081","url":null,"abstract":"There is potential knowledge inherent in vast amounts of untapped and possibly valuable data generated by healthcare providers. So often, clinicians rely in their skills and experience and that of other medical experts as their source of information. The healthcare sector is now capturing more data in the form of digital and non digital format that may potentially be mined to generate valuable insights. In this paper we propose a five step knowledge discovery model to discover patterns in medical audiology records. We use frequent pattern growth (FP-Growth) algorithm in the data processing step to build the FP-tree data structure and mine it for frequents itemsets. Our aim is to discover interesting itemsets that shows connection between hearing thresholds in pure-tone audiometric data and symptoms from diagnosis and other attributes in the medical records. The experimental results are summaries of frequent structures in the data that contains symptoms of tinnitus, vertigo and giddiness with threshold values and other information like gender.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"6 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123726318","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信