Welcome![Sign In][Sign Up]
Location:
Search - epilepsy

Search list

[Other resourcelyap_r

Description: 计算癫痫脑电非线性动力学之一的lyapunov指数-calculated EEG epilepsy nonlinear dynamics, one of the lyapunov index
Platform: | Size: 2471 | Author: 陈馥 | Hits:

[MiddleWarelyap_r

Description: 计算癫痫脑电非线性动力学之一的lyapunov指数-calculated EEG epilepsy nonlinear dynamics, one of the lyapunov index
Platform: | Size: 2048 | Author: 陈馥 | Hits:

[Other1

Description: visualc++完全自学手册的源代码(1)-visualc++ for bullying 全 Ling epilepsy are 册的 代码 (1)
Platform: | Size: 2116608 | Author: 刘炳 | Hits:

[matlabmultiwavelet

Description: 小波变换的MATLAB实现 几个用MATLAB编写的小波变换示例-multiwavelet
Platform: | Size: 374784 | Author: karen | Hits:

[Delphi VCLphp_create_backup_script_worked

Description: 3 Aug 2009 ... formerly a Specialist Library of the National Library for Health ... Evidence-based modified Delphi process used to establish guidelines. ... which might be due to epilepsy, including the use of video and ictal EEG -3 Aug 2009 ... formerly a Specialist Library of the National Library for Health ... Evidence-based modified Delphi process used to establish guidelines. ... which might be due to epilepsy, including the use of video and ictal EEG ...
Platform: | Size: 7168 | Author: ak78 | Hits:

[matlabstft

Description: 短时傅里叶变换STFT,对脑电癫痫数据的三维显示-Short time Fourier transform STFT, the data on the three-dimensional display of Epilepsy
Platform: | Size: 14336 | Author: 刘银霞 | Hits:

[Special EffectsEpilepsy-EEG-report---

Description: 在学习了数字信号处理、信号与系统、建模与仿真及其医学应用等课程的基础上, 学习一类典型的生物医学信号--脑电的测取、FFT 频谱分析、以及应用数字滤波方法提 取脑电的频带(8-13Hz)信号及其特性分析。-Epilepsy section of the brain wave extraction and analysis of characteristics of the course design report
Platform: | Size: 269312 | Author: 陈娇 | Hits:

[matlabLow-dimensionalchaosepilepsy

Description: Low-dimensional chaos in an instance of epilepsy
Platform: | Size: 905216 | Author: wang | Hits:

[Software EngineeringICEE_Paper_Shishegar_HSZ

Description: Global Shape Analysis of Hippocampus in Epilepsy Using Laplace- Beltrami Spectrum
Platform: | Size: 208896 | Author: farhad | Hits:

[LabView19-lead_simulated_eeg

Description: 脑电信号的模拟,各种状态的脑电信号,癫痫,正常-EEG simulation, various states of EEG, epilepsy, normal
Platform: | Size: 9537536 | Author: Stephaine | Hits:

[Embeded-SCM DevelopSMART-EPILEPSY-PREDICTION-AND-LIFE-SAVER-SYSTEM.r

Description: Smart Epilepsy and Life Saver System Embedded systems code files -Smart Epilepsy and Life Saver System Embedded systems code files
Platform: | Size: 173056 | Author: vk9396 | Hits:

[Software Engineeringconference

Description: Semi-Automatic Epilepsy Spike Detection EEG Signal Using Genetic Algorithm and Wavelet Transform -Semi-Automatic Epilepsy Spike Detection EEG Signal Using Genetic Algorithm and Wavelet Transform
Platform: | Size: 288768 | Author: uma | Hits:

[Software EngineeringARfenxi

Description: 癫痫和正常脑电的AR模型、AR谱及特征比较(附部分代码)-Epilepsy and AR model, AR spectrum and normal eeg feature comparison (with part of the code)
Platform: | Size: 433152 | Author: hanlisa | Hits:

[Software EngineeringANDROID-APPLICATION-PROJECT-LIST

Description: heart rate produced by algorithms embedded in the commercially available optical heart rate sensor. An analysis of the raw PPG signal is necessary to fully assess the usability of PPG for heart rate detection in epilepsy, for instance, by also including measures for heart rate variability. Mean heart rate is a suitable measure to detect tachycardia, bradycardia, and asystole, which are importantmarkers of clinical relevance of seizures. However, in other medical settings, such as the uation of arrhythmias [10], more features of heart rate and ECG characteristics such as QT interval,which PPG currently cannot provide, are necessary for proper monitoring. Measurements in other patient groups are necessary-heart rate produced by algorithms embedded in the commercially available optical heart rate sensor. An analysis of the raw PPG signal is necessary to fully assess the usability of PPG for heart rate detection in epilepsy, for instance, by also including measures for heart rate variability. Mean heart rate is a suitable measure to detect tachycardia, bradycardia, and asystole, which are importantmarkers of clinical relevance of seizures. However, in other medical settings, such as the uation of arrhythmias [10], more features of heart rate and ECG characteristics such as QT interval,which PPG currently cannot provide, are necessary for proper monitoring. Measurements in other patient groups are necessary
Platform: | Size: 128000 | Author: senthil | Hits:

[Software EngineeringAPPLICATION-PROJECT-LIST-2

Description: 1] Lamberts RJ, Thijs RD, Laffan A, Langan Y, Sander JW. Sudden unexpected death in epilepsy: people with nocturnal seizures may be at highest risk. Epilepsia 2012 53(2):253–7. [2] Zijlmans M, Flanagan D, Gotman J. Heart rate changes and ECG abnormalities during epileptic seizures: pr ence and definition of an objective clinical sign. Epilepsia 2002 43(8):847–54. [3] van Elmpt WJ, Nijsen TM, Griep PA, Arends JB. A model of heart rate changes to detect seizures in severe epilepsy. Seizure 2006 15(6):366–75. [4] Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol Meas 2007 28(3):R1-39. [5] Afonso V, Tompkins W, Nguyen T, Luo S. ECG beat detection
Platform: | Size: 152576 | Author: senthil | Hits:

[Software EngineeringECE-LIST-2015-2016-AUG12015

Description: occurrence of sudden unexpected death in epilepsy (SUDEP) is usually related to nocturnal, unmonitored seizures [1]. The vast majority of seizures are associated with a heart rate increase [2], which can, in turn, be used for seizure detection [3]. In a clinical setting, heart rate ismainly obtained through automatic analysis of an electrocardiography (ECG) signal measured with at least two electrodes attached to the skin. This is uncomfortable and can lead to skin irritation. Electrocardiography signals also tend to become noisy when patients move, which is often the case during seizures. The fitness industry faces a similar problem heart rate needs-occurrence of sudden unexpected death in epilepsy (SUDEP) is usually related to nocturnal, unmonitored seizures [1]. The vast majority of seizures are associated with a heart rate increase [2], which can, in turn, be used for seizure detection [3]. In a clinical setting, heart rate ismainly obtained through automatic analysis of an electrocardiography (ECG) signal measured with at least two electrodes attached to the skin. This is uncomfortable and can lead to skin irritation. Electrocardiography signals also tend to become noisy when patients move, which is often the case during seizures. The fitness industry faces a similar problem heart rate needs
Platform: | Size: 434176 | Author: senthil | Hits:

[GDI-Bitmappaper2

Description: Application of adaptive neuro-fuzzy inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extraction
Platform: | Size: 147456 | Author: xiaowang | Hits:

[Web Serveryiyuan

Description: 杭州某癫痫医院网站源码基于actcms修改完成,支持模板引擎技术,支持生成静态.系统拥有强大的标签自动生成系统,任何您想要实现的功能,例如输出格式(table和div可选)、排序方法、文章属性、文章行距、文章数量、标题字数、日期格式、分隔图片、标题样式等等只需要在后台进行相关设置即可;任何网站所有的输出功能,如栏目文章、图片文章、幻灯片、循环栏目、分页文章、相关文章、网站导航、友情链接等,也只需要在后台进行相关设置即可。-Hangzhou, a source of epilepsy hospital site based actcms editing, support template engine technology, supports the generation of static system has a powerful automatic tag generation system, any features that you want to achieve, such as the output format (table and div optional), ranking method , article properties, the article spacing, the number of articles, title word, date format, partition image, title, style, and so only the relevant settings in the background can any sites all output functions, such as column article, the article pictures, slides, cycle section, paging articles, related articles, site navigation, links, etc., only in the background related settings.
Platform: | Size: 3204096 | Author: 高赛 | Hits:

[BooksEpilepsy-coding

Description: This folder consist of matlab coding for epileptic seizure detection using nonlinear parameters of EEG signal.
Platform: | Size: 270336 | Author: Madumathi | Hits:

[Other6种类型癫痫活动与控制

Description: 运用NMM模型来产生6种不同的癫痫数据输出(Generate the data of epilepsy)
Platform: | Size: 2048 | Author: 千墨行云 | Hits:
« 12 »

CodeBus www.codebus.net