311 related articles for article (PubMed ID: 34700252)
1. Classification of alcoholic EEG signals using wavelet scattering transform-based features.
Buriro AB; Ahmed B; Baloch G; Ahmed J; Shoorangiz R; Weddell SJ; Jones RD
Comput Biol Med; 2021 Dec; 139():104969. PubMed ID: 34700252
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques.
Alturki FA; AlSharabi K; Abdurraqeeb AM; Aljalal M
Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32354161
[TBL] [Abstract][Full Text] [Related]
4. Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier.
Al-Salman W; Li Y; Wen P
Neurosci Res; 2021 Nov; 172():26-40. PubMed ID: 33965451
[TBL] [Abstract][Full Text] [Related]
5. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
Vu H; Kim HC; Jung M; Lee JH
Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
[TBL] [Abstract][Full Text] [Related]
6. Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals.
Anuragi A; Sisodia DS; Pachori RB
Comput Biol Med; 2021 Sep; 136():104708. PubMed ID: 34358996
[TBL] [Abstract][Full Text] [Related]
7. PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition.
Dogan A; Akay M; Barua PD; Baygin M; Dogan S; Tuncer T; Dogru AH; Acharya UR
Comput Biol Med; 2021 Nov; 138():104867. PubMed ID: 34543892
[TBL] [Abstract][Full Text] [Related]
8. Epileptic seizure detection in EEG signal using machine learning techniques.
Jaiswal AK; Banka H
Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
[TBL] [Abstract][Full Text] [Related]
9. Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals.
Shalbaf A; Bagherzadeh S; Maghsoudi A
Phys Eng Sci Med; 2020 Dec; 43(4):1229-1239. PubMed ID: 32926393
[TBL] [Abstract][Full Text] [Related]
10. A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.
Ieracitano C; Mammone N; Hussain A; Morabito FC
Neural Netw; 2020 Mar; 123():176-190. PubMed ID: 31884180
[TBL] [Abstract][Full Text] [Related]
11. Fundamental Heart Sound Classification using the Continuous Wavelet Transform and Convolutional Neural Networks.
Meintjes A; Lowe A; Legget M
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():409-412. PubMed ID: 30440420
[TBL] [Abstract][Full Text] [Related]
12. Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.
Amin HU; Malik AS; Ahmad RF; Badruddin N; Kamel N; Hussain M; Chooi WT
Australas Phys Eng Sci Med; 2015 Mar; 38(1):139-49. PubMed ID: 25649845
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Epileptic seizure classifications of single-channel scalp EEG data using wavelet-based features and SVM.
Janjarasjitt S
Med Biol Eng Comput; 2017 Oct; 55(10):1743-1761. PubMed ID: 28194648
[TBL] [Abstract][Full Text] [Related]
15. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
Chaudhary S; Taran S; Bajaj V; Siuly S
Comput Methods Programs Biomed; 2020 Apr; 187():105325. PubMed ID: 31964514
[TBL] [Abstract][Full Text] [Related]
16. A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects.
Varone G; Gasparini S; Ferlazzo E; Ascoli M; Tripodi GG; Zucco C; Calabrese B; Cannataro M; Aguglia U
Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32102437
[TBL] [Abstract][Full Text] [Related]
17. An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.
Reddy YRM; Muralidhar P; Srinivas M
Brain Topogr; 2024 Jan; 37(1):1-18. PubMed ID: 37995000
[TBL] [Abstract][Full Text] [Related]
18. Decoding olfactory EEG signals for different odor stimuli identification using wavelet-spatial domain feature.
Zhang XN; Meng QH; Zeng M; Hou HR
J Neurosci Methods; 2021 Nov; 363():109355. PubMed ID: 34506866
[TBL] [Abstract][Full Text] [Related]
19. A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.
Aydemir E; Tuncer T; Dogan S
Med Hypotheses; 2020 Jan; 134():109519. PubMed ID: 31877443
[TBL] [Abstract][Full Text] [Related]
20. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
Siuly S; Li Y
Comput Methods Programs Biomed; 2015 Apr; 119(1):29-42. PubMed ID: 25704869
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
