2010 IEEE 9th International Conference on Cyberntic Intelligent Systems最新文献_第3页

Features for detection of Parkinson's disease tremor from local field potentials of the subthalamic nucleus 丘脑下核局部场电位检测帕金森病震颤的特征

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898092

E. Bakštein, K. Warwick, Jonathan G. Burgess, Oyvind Stavdahl, T. Aziz

{"title":"Features for detection of Parkinson's disease tremor from local field potentials of the subthalamic nucleus","authors":"E. Bakštein, K. Warwick, Jonathan G. Burgess, Oyvind Stavdahl, T. Aziz","doi":"10.1109/UKRICIS.2010.5898092","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898092","url":null,"abstract":"Deep Brain Stimulation (DBS) is a treatment routinely used to alleviate the symptoms of Parkinson's disease (PD). In this type of treatment, electrical pulses are applied through electrodes implanted into the basal ganglia of the patient. As the symptoms are not permanent in most patients, it is desirable to develop an on-demand stimulator, applying pulses only when onset of the symptoms is detected. This study evaluates a feature set created for the detection of tremor — a cardinal symptom of PD. The designed feature set was based on standard signal features and researched properties of the electrical signals recorded from subthalamic nucleus (STN) within the basal ganglia, which together included temporal, spectral, statistical, autocorrelation and fractal properties. The most characterized tremor related features were selected using statistical testing and backward algorithms then used for classification on unseen patient signals. The spectral features were among the most efficient at detecting tremor, notably spectral bands 3.5–5.5 Hz and 0–1 Hz proved to be highly significant. The classification results for determination of tremor achieved 94% sensitivity with specificity equaling one.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125324083","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

ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS 基于粒子群优化和RLS的双转子系统ANFIS建模

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898130

S. Toha, M. Tokhi

引用次数: 24

Prosthesis grasp reflex via peripheral nerve control — An in vitro study 外周神经控制义肢抓握反射的体外研究

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898090

German D. Valderrama-Gonzalez, M. Gasson, K. Warwick, Benjamin J. Whalley

引用次数: 1

Variational model for robust computation of optical flow under varying illumination 变照度下光流鲁棒计算的变分模型

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898120

M. Kharbat, N. Aouf

引用次数: 1

Particle swarm optimisation with dynamic spread factor with application to modelling of a flexible beam structure 动态扩展因子粒子群优化及其在柔性梁结构建模中的应用

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898131

M. Mohamad, M. Tokhi, I. A. Latiff

引用次数: 1

A two-wheeled vehicle with an extended rod, mechanical design clues and dynamic modelling 以两轮车辆为例，采用延伸杆、机械设计线索和动力学建模

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898101

K. Goher, M. Tokhi

引用次数: 6

Advanced knowledge management concept for sustainable environmental integration 可持续环境整合的先进知识管理理念

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898096

Fazel Ansari Ch, A. Holland, M. Fathi

{"title":"Advanced knowledge management concept for sustainable environmental integration","authors":"Fazel Ansari Ch, A. Holland, M. Fathi","doi":"10.1109/UKRICIS.2010.5898096","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898096","url":null,"abstract":"Between knowing sustainability challenges and sustainable acting is still a big difference. What can be done with Knowledge Management (KM) to improve this situation? The sustainable treatment of the resource knowledge includes social, environmental and organizational aspects like converting economic goals to knowledge goals, discharging obsolete knowledge, detecting knowledge gaps or offering automatic mechanisms for knowledge sharing and transfer. This paper illustrates the significance and functionality of KM for sustainable environmental integration from two aspects: maintaining structural knowledge and accessing and integrating external customer knowledge sources. The first aspect in regards to innovations or new markets is with direct impact on organizational knowledge. This produces knowledge gaps, which have to be filled by making available qualifiable operational performance indicators on the strategic layer as decision support component. The pragmatic approach behind this way of proceeding is the determination of decision goals for the initiatives, which leads to measurable alterations. The second aspect treats a new approach to evaluate and apply customer knowledge for the integration of product use information into product development. This is mandatory for the development and improvement of products and services covering the market demands.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123495577","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: 10

Application of Poisson-based hidden Markov models to in vitro neuronal data 基于泊松的隐马尔可夫模型在体外神经元数据中的应用

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898094

D. Xydas, M. C. Spencer, J. Downes, M. W. Hammond, V. Becerra, K. Warwick, Benjamin J. Whalley, S. Nasuto

引用次数: 0

Representation of adaptive tinnitus suppression mechanism in an adaptive cochlear model 适应性耳蜗模型中适应性耳鸣抑制机制的表征

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898138

Mohmmadreza Nazarahari, H. Sajedi

引用次数: 1

Low cost VLSI discrete wavelet transform and FIR filters architectures for very high-speed signal and image processing 用于超高速信号和图像处理的低成本 VLSI 离散小波变换和 FIR 滤波器架构

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898088

M. Maamoun, R. Bradai, A. Meraghni, R. Beguenane

引用次数: 6