棘波

  • 网络spike wave
棘波棘波
  1. 在咀嚼时可见有规律性类似棘波、多棘波

    Regular like spike wave and poly spike wave were found in mastication .

  2. EEG信号中癫痫棘波的小波变换检测

    Detection of epileptic spike wave in EEG signals by using wavelet transform

  3. B样条小波在提取脑电癫痫棘波中的应用

    Extraction of Epileptic Spike Waves in EEG with B-spline Wavelet

  4. EEG常见单侧或双侧颞叶的棘波。

    EEG records spike waves in one or both sides of temporal lobe .

  5. 第二,本文提出了一种基于经验模式分解的EEG棘波检测新方法。

    Second , this thesis proposes an EMD based epileptic spike detection method .

  6. 一种基于EEG特征提取的癫痫棘波综合检测判决方法

    A Synthetic Detection Method Based on Feature Extraction of Epileptic Spike Waves in EEG

  7. 本文提出了一种检测EEG中棘波的新方法。

    A new method for detecting spikes from EEG signals is presented in this paper .

  8. 基于改进的伪Wigner分布检测癫痫EEG棘波的方法

    Detection of spikes in epileptic EEG based on modified pseudo Wigner disribution

  9. 棘波是最基本的阵发性异常脑电活动,在临床EEG检查中,最重要的是识别EEG中是否出现棘波和尖波。

    In the clinical EEG check , the most important is to identify the presence of spike and sharp .

  10. LPS组大鼠EEG可见频率增快和/或波幅增高,多个棘波或阵发性连续棘波群发放。

    The frequency was increased and the amplitude of waves was elevated on the EEG of LPS group .

  11. 本文提出一种基于分数阶Fourier变换(FRFT)的棘波检测新算法。

    A new approach based on the fractional Fourier transforms for detecting spikes from EEG signals is presented in this paper .

  12. EEG异常:表现为慢波(δ、θ)增多,有痫性波(尖波,棘波,尖慢复合波,棘慢复合波)发放增加。

    The EEG revealed the dysfunction of CNS which was characterized by the increment of 6 and 9 waves and single spikes or spike and wave complexes .

  13. 经MRI诊断的6例灶性颞叶癫痫中,其中5例(83.33%)MEG检出棘波偶极子且被ECoG证实。

    In 6 cases with structural lesion , 5 cases ( 83.33 % ) find spike dipoles by MEG and were identified by ECoG ;

  14. 前言:目的:总结伴中央-中颞棘波灶的儿童良性癫痫(BECTS)的临床特点及脑电图特征。

    Objective : To summarize the clinical and EEG characteristics of benign epilepsy of childhood with centro-temporal spikes ( BECTS ) .

  15. 目的:探讨儿童期良性中央&颞区棘波灶性癫痫(EBCC)的临床发作形式,脑电图(EEG)不同类型的改变,追踪临床、EEG及预后情况。

    Objective : to explore the clinical attack of children benign epilepsy , the change of different types of EEC , and observe tracing the clinical manifes tation , EEG and prognosis .

  16. 目的总结具有中央-颞区棘波的儿童良性癫痫(BECCT)的临床及脑电图(EEG)特点。

    Objective To summarize the clinical and EEG characteristics of benign epilepsy of childhood with centro-temporal spikes ( BECCT ) .

  17. 【目的】探讨每晚1次服用妥泰治疗儿童良性癫痫伴中央-颞区棘波(Benignepilepsyofchildhoodwithcentrotemporalspikes,BECTS)的可行性。

    【 Objective 】 To study the feasibility of Topiramate taken once every night to treat benign epilepsy of childhood with centrotemporal spikes ( BECTS ) .

  18. 目的探讨儿童良性癫疒间伴中央颞区棘波(BECT)的临床表现和脑电图变化的特点。

    This study aimed to recognize the clinical characteristics and electroencephalographic features of BECT .

  19. 棘波灶内神经元多呈Glu免疫反应,且多数增生的星形细胞和小胶质细胞也呈Glu免疫反应。

    Nerve cell has Glu - Immunologic reaction , glial cell proliferation , the most is microglia , and Proliferative glial cell has Glu - Immunologic reaction too .

  20. 结果:邻域比较滤波法对叠加有单个噪声脉冲及连续噪声脉冲的脑电信号有很好的去噪效果,对尖波和棘波几乎没有影响,EEG信号无失真。

    Results : The neighbor comparing filter method showed better of effectiveness on EEG signals with simple interference pulse as well as serial interference pulse , and it had little influence on sharp and spike waves .

  21. 这种方法将EMD分解与Hilbert变换相结合,自适应地提取原始EEG信号中包含棘波特征的高频分量。

    It extracts the high frequency components related to spikes in EEG signal by EMD method . It detects the spikes by calculating the instantaneous amplitude of the high component with Hilbert transform .

  22. 目的探讨具有中央-颞部棘波的良性儿童期癫痫(BECT)的临床特点。

    Objective To investigate clinical characteristics of benign childhood epilepsy with centrotemporal spikes ( BECT ) .

  23. 伏核EEG出现棘波和棘慢综合波,并持续增多,功率谱分析显示δ频段功率百分比南京医科大学硕士学位论文逐渐减少,而0和以频段功率百分比逐渐增加,总功率增加。

    Spikes and spike-slow waves were found in the EEG . In power spectra analysis , the delta power decreased while the alpha and the theta power increased , the EEG frequency band moved to the high-frequency rang .

  24. 结果大鼠MCAO后2小时内,27.4%(17/62只)出现反复、阵发性棘波、慢波,即痫性放电。

    Results : Recurrent episodic spikes and slow waves were recorded in 27.4 % ( 17 / 62 ) rats within 2h post-MCAO , which were of characteristics of seizures discharges .

  25. 发作间期脑电图背景正常,24%睡眠中有Rolandic区小棘波。

    Interictal EEG background was normal and there were Rolandic small spikes during sleep in 24 % of patients .

  26. 目的探讨伴中央颞区棘波的良性癫(BECTS)儿童在幼儿期的行为特点。

    Objective To explore the behavior characteristics in children with benign epilepsy combined with centro-temporal spikes ( BECTS ) .

  27. 方法选择癫痫患者86例,其中65例为原发性癫痫,21例为继发性癫痫进行棘波分析地形图(S-BEAM)、EEG、BEAM检查。

    Methods S-BEAM , EEG , BEAM and brain CT were examined at the same time . In 86 patients with epilepsy , the patients with primary epilepsy were 65 cases and the patients with secondary epilepsy were 21 cases .

  28. 目的探讨儿童良性癫痫伴中央颞区棘波(BECT)变异型的电-临床特征、治疗及神经心理学预后。

    Objective To study the electro-clinical characteristics , therapeutic response and prognosis of neuropsychology in children with variants of benign childhood epilepsy with centrotemporal spikes ( BECT ) .

  29. 方法116名健康成人和45例神经原性疾病患者的拇短展肌、胫前肌和股四头肌的2658个MUP,通过棘波触发平均技术得到记录。

    Method From the vastus medialis , tibialis anterior and abductor pollicis brevis muscles 1903 MUP in 116 healthy adults ( ranging from 17 to 72 years old ) and 755 MUP in 45 neurogenic patients were registered with concentric needle electrodes .

  30. 它通过FWT变换把脑电信号从时域变换到序域,提取信号的序域功率谱特征并利用树分类器对尖棘波进行识别,有效识别率为85.5%。

    It first shifts EEG signals from time domain to sequential domain by FWT ( Fourier-Walsh Transform ), Then extracts power spectrum features of sequential domain , finally uses tree-classifier to recognize sharp-spike wave . The effective recognition ratio reaches 85.5 % .