These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
166 related articles for article (PubMed ID: 30829625)
1. Fractal-based classification of electroencephalography (EEG) signals in healthy adolescents and adolescents with symptoms of schizophrenia. Namazi H; Aghasian E; Ala TS Technol Health Care; 2019; 27(3):233-241. PubMed ID: 30829625 [TBL] [Abstract][Full Text] [Related]
2. Complexity-based classification of EEG signal in normal subjects and patients with epilepsy. Namazi H; Aghasian E; Ala TS Technol Health Care; 2020; 28(1):57-66. PubMed ID: 31104032 [TBL] [Abstract][Full Text] [Related]
3. Entropy and complexity measures for EEG signal classification of schizophrenic and control participants. Sabeti M; Katebi S; Boostani R Artif Intell Med; 2009 Nov; 47(3):263-74. PubMed ID: 19403281 [TBL] [Abstract][Full Text] [Related]
4. Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations. Lau ZJ; Pham T; Chen SHA; Makowski D Eur J Neurosci; 2022 Oct; 56(7):5047-5069. PubMed ID: 35985344 [TBL] [Abstract][Full Text] [Related]
5. Fractals properties of EEG during event-related desynchronization of motor imagery. Nguyen NQ; Truong QD; Kondo T Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4146-9. PubMed ID: 26737207 [TBL] [Abstract][Full Text] [Related]
6. Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches. Ma Y; Shi W; Peng CK; Yang AC Sleep Med Rev; 2018 Feb; 37():85-93. PubMed ID: 28392169 [TBL] [Abstract][Full Text] [Related]
7. Complexity analysis of EEG in patients with schizophrenia using fractal dimension. Raghavendra BS; Dutt DN; Halahalli HN; John JP Physiol Meas; 2009 Aug; 30(8):795-808. PubMed ID: 19550026 [TBL] [Abstract][Full Text] [Related]
8. Binary classification of multichannel-EEG records based on the ϵ-complexity of continuous vector functions. Piryatinska A; Darkhovsky B; Kaplan A Comput Methods Programs Biomed; 2017 Dec; 152():131-139. PubMed ID: 29054253 [TBL] [Abstract][Full Text] [Related]
9. Analysis of the Complexity Measures in the EEG of Schizophrenia Patients. Akar SA; Kara S; Latifoğlu F; Bilgiç V Int J Neural Syst; 2016 Mar; 26(2):1650008. PubMed ID: 26762866 [TBL] [Abstract][Full Text] [Related]
10. Comparison of ictal and interictal EEG signals using fractal features. Wang Y; Zhou W; Yuan Q; Li X; Meng Q; Zhao X; Wang J Int J Neural Syst; 2013 Dec; 23(6):1350028. PubMed ID: 24156671 [TBL] [Abstract][Full Text] [Related]
11. Complexity-based decoding of the relation between human voice and brain activity. Ahamed MRA; Babini MH; Namazi H Technol Health Care; 2020; 28(6):665-674. PubMed ID: 32200368 [TBL] [Abstract][Full Text] [Related]
12. Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal. Namazi H; Akrami A; Nazeri S; Kulish VV Biomed Res Int; 2016; 2016():5469587. PubMed ID: 27699169 [TBL] [Abstract][Full Text] [Related]
13. Investigating the interpretability of schizophrenia EEG mechanism through a 3DCNN-based hidden layer features aggregation framework. Guo Z; Wang J; Jing T; Fu L Comput Methods Programs Biomed; 2024 Apr; 247():108105. PubMed ID: 38447316 [TBL] [Abstract][Full Text] [Related]
14. EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features. Hsu WY J Neurosci Methods; 2010 Jun; 189(2):295-302. PubMed ID: 20381529 [TBL] [Abstract][Full Text] [Related]
15. Evidence-based medicine and electrophysiology in schizophrenia. Galderisi S; Mucci A; Volpe U; Boutros N Clin EEG Neurosci; 2009 Apr; 40(2):62-77. PubMed ID: 19534300 [TBL] [Abstract][Full Text] [Related]
16. Concepts of EEG processing: from power spectrum to bispectrum, fractals, entropies and all that. Schwilden H Best Pract Res Clin Anaesthesiol; 2006 Mar; 20(1):31-48. PubMed ID: 16634412 [TBL] [Abstract][Full Text] [Related]
17. Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing. Prabhakar SK; Rajaguru H; Kim SH Comput Intell Neurosci; 2020; 2020():8853835. PubMed ID: 33335544 [TBL] [Abstract][Full Text] [Related]
18. Linear correlation between fractal dimension of EEG signal and handgrip force. Liu JZ; Yang Q; Yao B; Brown RW; Yue GH Biol Cybern; 2005 Aug; 93(2):131-40. PubMed ID: 16028075 [TBL] [Abstract][Full Text] [Related]
19. EEG signal features extraction based on fractal dimension. Finotello F; Scarpa F; Zanon M Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4154-7. PubMed ID: 26737209 [TBL] [Abstract][Full Text] [Related]
20. Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls. Erguzel TT; Uyulan C; Unsalver B; Evrensel A; Cebi M; Noyan CO; Metin B; Eryilmaz G; Sayar GH; Tarhan N Clin EEG Neurosci; 2020 Nov; 51(6):373-381. PubMed ID: 32043373 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]