120 related articles for article (PubMed ID: 25997259)
21. EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.
Liu Q; Chen YF; Fan SZ; Abbod MF; Shieh JS
Med Biol Eng Comput; 2017 Aug; 55(8):1435-1450. PubMed ID: 27995430
[TBL] [Abstract][Full Text] [Related]
22. Differences between state entropy and bispectral index during analysis of identical electroencephalogram signals: a comparison with two randomised anaesthetic techniques.
Pilge S; Kreuzer M; Karatchiviev V; Kochs EF; Malcharek M; Schneider G
Eur J Anaesthesiol; 2015 May; 32(5):354-65. PubMed ID: 25564779
[TBL] [Abstract][Full Text] [Related]
23. Wavelet packet analysis of EEG signals from dyslexic children with writing disability.
Fuad N; Mansor W; Lee KY
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2890-3. PubMed ID: 24110331
[TBL] [Abstract][Full Text] [Related]
24. Anaesthetic EEG signal denoise using improved nonlocal mean methods.
Li T; Wen P; Jayamaha S
Australas Phys Eng Sci Med; 2014 Jun; 37(2):431-7. PubMed ID: 24682852
[TBL] [Abstract][Full Text] [Related]
25. Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA-WT during Working Memory Tasks.
Al-Qazzaz NK; Hamid Bin Mohd Ali S; Ahmad SA; Islam MS; Escudero J
Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28594352
[TBL] [Abstract][Full Text] [Related]
26. Multiscale rescaled range analysis of EEG recordings in sevoflurane anesthesia.
Liang Z; Li D; Ouyang G; Wang Y; Voss LJ; Sleigh JW; Li X
Clin Neurophysiol; 2012 Apr; 123(4):681-8. PubMed ID: 21993398
[TBL] [Abstract][Full Text] [Related]
27. [A Classification Algorithm for Epileptic Electroencephalogram Based on Wavelet Multiscale Analysis and Extreme Learning Machine].
Cui G; Xia L; Liang J; Tu M
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Dec; 33(6):1025-30. PubMed ID: 29714962
[TBL] [Abstract][Full Text] [Related]
28. [Wavelet packet extraction and entropy analysis of telemetry EEG from the prelimbic cortex of medial prefrontal cortex in morphine-induced CPP rats].
Bai Y; Bai JM; Li J; Li M; Yu R; Pan QW
Sheng Li Xue Bao; 2014 Dec; 66(6):675-82. PubMed ID: 25516516
[TBL] [Abstract][Full Text] [Related]
29. Mouse EEG spike detection based on the adapted continuous wavelet transform.
Tieng QM; Kharatishvili I; Chen M; Reutens DC
J Neural Eng; 2016 Apr; 13(2):026018. PubMed ID: 26859447
[TBL] [Abstract][Full Text] [Related]
30. Increase in high frequency EEG activity explains the poor performance of EEG spectral entropy monitor during S-ketamine anesthesia.
Maksimow A; Särkelä M; Långsjö JW; Salmi E; Kaisti KK; Yli-Hankala A; Hinkka-Yli-Salomäki S; Scheinin H; Jääskeläinen SK
Clin Neurophysiol; 2006 Aug; 117(8):1660-8. PubMed ID: 16807101
[TBL] [Abstract][Full Text] [Related]
31. EEG entropy measures in anesthesia.
Liang Z; Wang Y; Sun X; Li D; Voss LJ; Sleigh JW; Hagihira S; Li X
Front Comput Neurosci; 2015; 9():16. PubMed ID: 25741277
[TBL] [Abstract][Full Text] [Related]
32. Paroxysmal atrial fibrillation recognition based on multi-scale wavelet α-entropy.
Xin Y; Zhao Y
Biomed Eng Online; 2017 Oct; 16(1):121. PubMed ID: 29061181
[TBL] [Abstract][Full Text] [Related]
33. Differentiating epileptic from non-epileptic high frequency intracerebral EEG signals with measures of wavelet entropy.
Mooij AH; Frauscher B; Amiri M; Otte WM; Gotman J
Clin Neurophysiol; 2016 Dec; 127(12):3529-3536. PubMed ID: 27821279
[TBL] [Abstract][Full Text] [Related]
34. Relationship between approximate entropy and visual inspection of irregularity in the EEG signal, a comparison with spectral entropy.
Anier A; Lipping T; Ferenets R; Puumala P; Sonkajärvi E; Rätsep I; Jäntti V
Br J Anaesth; 2012 Dec; 109(6):928-34. PubMed ID: 22936824
[TBL] [Abstract][Full Text] [Related]
35. Classification of EEG signals using neural network and logistic regression.
Subasi A; Erçelebi E
Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
[TBL] [Abstract][Full Text] [Related]
36. [Detection of epileptic spike wave in EEG signals based on morphological component analysis].
Ma D; Zheng X; Wang Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Aug; 30(4):710-3, 723. PubMed ID: 24059041
[TBL] [Abstract][Full Text] [Related]
37. [Automatic Epileptic Electroencephalogram Detection during Normal,Interictal and Ictal Periods Combining Feature Extraction Based on Sample Entropy and Wavelet Packet Energy with Real AdaBoost Algorithm].
Zhang J; Jiang W; Ben X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Dec; 33(6):1031-8. PubMed ID: 29714964
[TBL] [Abstract][Full Text] [Related]
38. Denoising preterm EEG by signal decomposition and adaptive filtering: a comparative study.
Navarro X; Porée F; Beuchée A; Carrault G
Med Eng Phys; 2015 Mar; 37(3):315-20. PubMed ID: 25659233
[TBL] [Abstract][Full Text] [Related]
39. [Study on the Evaluation Index of Depth of Anesthesia Awareness Based on Sample Entropy and Decision Tree].
Liu J; Zhou Y; Chen S; Xu T; Chen X; Xie F
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Apr; 32(2):434-9. PubMed ID: 26211267
[TBL] [Abstract][Full Text] [Related]
40. Circadian variation of scalp EEG: a novel measure based on wavelet packet transform and differential entropy.
Zandi AS; Boudreau P; Boivin DB; Dumont GA
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6297-300. PubMed ID: 24111180
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
