134 related articles for article (PubMed ID: 34713651)
21. Monitoring of Anesthesia by Bispectral Analysis of EEG Signals.
Bouafif L
Comput Math Methods Med; 2021; 2021():9961998. PubMed ID: 34594398
[TBL] [Abstract][Full Text] [Related]
22. A novel multivariate STeady-state index during general ANesthesia (STAN).
Castro A; de Almeida FG; Amorim P; Nunes CS
J Clin Monit Comput; 2017 Aug; 31(4):851-860. PubMed ID: 27411333
[TBL] [Abstract][Full Text] [Related]
23. Automated diagnosis of epileptic electroencephalogram using independent component analysis and discrete wavelet transform for different electroencephalogram durations.
Acharya UR; Yanti R; Swapna G; Sree VS; Martis RJ; Suri JS
Proc Inst Mech Eng H; 2013 Mar; 227(3):234-44. PubMed ID: 23662339
[TBL] [Abstract][Full Text] [Related]
24. An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network.
Fayaz M; Torokeldiev N; Turdumamatov S; Qureshi MS; Qureshi MB; Gwak J
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833556
[TBL] [Abstract][Full Text] [Related]
25. [Analysis of anesthesia characteristic parameters based on the EEG signal].
Wang F; Li X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Feb; 32(1):13-8, 31. PubMed ID: 25997259
[TBL] [Abstract][Full Text] [Related]
26. Time-trend analysis of the center frequency of the intrinsic mode function from the Hilbert-Huang transform of electroencephalography during general anesthesia: a retrospective observational study.
Obata Y; Yamada T; Akiyama K; Sawa T
BMC Anesthesiol; 2023 Apr; 23(1):125. PubMed ID: 37059989
[TBL] [Abstract][Full Text] [Related]
27. A Randomized Controlled Trial Comparison of NeuroSENSE and Bispectral Brain Monitors During Propofol-Based Versus Sevoflurane-Based General Anesthesia.
Bresson J; Gayat E; Agrawal G; Chazot T; Liu N; Hausser-Haw C; Fischler M
Anesth Analg; 2015 Nov; 121(5):1194-201. PubMed ID: 26489054
[TBL] [Abstract][Full Text] [Related]
28. A comparison of different synchronization measures in electroencephalogram during propofol anesthesia.
Liang Z; Ren Y; Yan J; Li D; Voss LJ; Sleigh JW; Li X
J Clin Monit Comput; 2016 Aug; 30(4):451-66. PubMed ID: 26350675
[TBL] [Abstract][Full Text] [Related]
29. Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals.
Nguyen-Ky T; Wen PP; Li Y
IEEE Trans Biomed Eng; 2013 Jun; 60(6):1488-98. PubMed ID: 23314762
[TBL] [Abstract][Full Text] [Related]
30. [Feasibility analysis of wavelet index for monitoring the depth of anesthesia in patients undergoing general anesthesia].
Yang N; Ge MF; Wang TL; Wu XG
Zhonghua Yi Xue Za Zhi; 2011 Nov; 91(40):2849-52. PubMed ID: 22333548
[TBL] [Abstract][Full Text] [Related]
31. Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.
Toma RN; Gao Y; Piltan F; Im K; Shon D; Yoon TH; Yoo DS; Kim JM
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433553
[TBL] [Abstract][Full Text] [Related]
32. A deep neural network approach for P300 detection-based BCI using single-channel EEG scalogram images.
Singh SA; Meitei TG; Devi ND; Majumder S
Phys Eng Sci Med; 2021 Dec; 44(4):1221-1230. PubMed ID: 34550551
[TBL] [Abstract][Full Text] [Related]
33. The Identification of ECG Signals Using Wavelet Transform and WOA-PNN.
Li N; He F; Ma W; Wang R; Jiang L; Zhang X
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746123
[TBL] [Abstract][Full Text] [Related]
34. A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.
Shi Y; Li Y; Cai M; Zhang XD
Int J Biol Sci; 2019; 15(1):195-207. PubMed ID: 30662359
[TBL] [Abstract][Full Text] [Related]
35. [An Adaptive Method for Detecting and Removing EEG Noise].
Yuan SN; Li RW; Zhu ZF; Ma SC; Niu HD; Ye JL; Zhang X
Zhongguo Yi Liao Qi Xie Za Zhi; 2022 May; 46(3):248-253. PubMed ID: 35678430
[TBL] [Abstract][Full Text] [Related]
36. Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG.
Huang Y; Wen P; Song B; Li Y
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015860
[TBL] [Abstract][Full Text] [Related]
37. Epileptic EEG detection using neural networks and post-classification.
Patnaik LM; Manyam OK
Comput Methods Programs Biomed; 2008 Aug; 91(2):100-9. PubMed ID: 18406490
[TBL] [Abstract][Full Text] [Related]
38. [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]
39. Relative wave energy-based adaptive neuro-fuzzy inference system for estimation of the depth of anaesthesia.
Benzy VK; Jasmin EA; Koshy RC; Amal F; Indiradevi KP
J Integr Neurosci; 2018; 17(1):43-51. PubMed ID: 29376882
[TBL] [Abstract][Full Text] [Related]
40. A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.
Al Ghayab HR; Li Y; Siuly S; Abdulla S
J Neurosci Methods; 2019 Jan; 312():43-52. PubMed ID: 30468823
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]