161 related articles for article (PubMed ID: 20703596)
1. Classification of sleep apnea through sub-band energy of abdominal effort signal using Wavelets + Neural Networks.
Tagluk ME; Sezgin N
J Med Syst; 2010 Dec; 34(6):1111-9. PubMed ID: 20703596
[TBL] [Abstract][Full Text] [Related]
2. Energy based feature extraction for classification of sleep apnea syndrome.
Sezgin N; Emin Tagluk M
Comput Biol Med; 2009 Nov; 39(11):1043-50. PubMed ID: 19762012
[TBL] [Abstract][Full Text] [Related]
3. Analysis of Features Extracted from EEG Epochs by Discrete Wavelet Decomposition and Hilbert Transform for Sleep Apnea Detection.
Prucnal MA; Polak AG
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():287-290. PubMed ID: 30440394
[TBL] [Abstract][Full Text] [Related]
4. A new method for sleep apnea classification using wavelets and feedforward neural networks.
Fontenla-Romero O; Guijarro-Berdiñas B; Alonso-Betanzos A; Moret-Bonillo V
Artif Intell Med; 2005 May; 34(1):65-76. PubMed ID: 15885567
[TBL] [Abstract][Full Text] [Related]
5. Classification of sleep apnea based on EEG sub-band signal characteristics.
Zhao X; Wang X; Yang T; Ji S; Wang H; Wang J; Wang Y; Wu Q
Sci Rep; 2021 Mar; 11(1):5824. PubMed ID: 33712651
[TBL] [Abstract][Full Text] [Related]
6. Detection of cardiac abnormalities from 12-lead ecg using complex wavelet sub-band features.
Mondal S; Choudhary P; Rathee P
Biomed Phys Eng Express; 2024 Apr; 10(3):. PubMed ID: 38316022
[TBL] [Abstract][Full Text] [Related]
7. Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals.
Gubbi J; Khandoker A; Palaniswami M
J Clin Monit Comput; 2012 Feb; 26(1):1-11. PubMed ID: 22190269
[TBL] [Abstract][Full Text] [Related]
8. An Intelligent Sleep Apnea Classification System Based on EEG Signals.
Vimala V; Ramar K; Ettappan M
J Med Syst; 2019 Jan; 43(2):36. PubMed ID: 30617508
[TBL] [Abstract][Full Text] [Related]
9. Sleep apnea classification based on respiration signals by using ensemble methods.
Avcı C; Akbaş A
Biomed Mater Eng; 2015; 26 Suppl 1():S1703-10. PubMed ID: 26405937
[TBL] [Abstract][Full Text] [Related]
10. Obstructive sleep apnea detection using discrete wavelet transform-based statistical features.
Rajesh KNVPS; Dhuli R; Kumar TS
Comput Biol Med; 2021 Mar; 130():104199. PubMed ID: 33422885
[TBL] [Abstract][Full Text] [Related]
11. Wavelet transform and deep learning-based obstructive sleep apnea detection from single-lead ECG signals.
Lin Y; Zhang H; Wu W; Gao X; Chao F; Lin J
Phys Eng Sci Med; 2024 Mar; 47(1):119-133. PubMed ID: 37982985
[TBL] [Abstract][Full Text] [Related]
12. SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals.
Mashrur FR; Islam MS; Saha DK; Islam SMR; Moni MA
Comput Biol Med; 2021 Jul; 134():104532. PubMed ID: 34102402
[TBL] [Abstract][Full Text] [Related]
13. Leg motion classification with artificial neural networks using wavelet-based features of gyroscope signals.
Ayrulu-Erdem B; Barshan B
Sensors (Basel); 2011; 11(2):1721-43. PubMed ID: 22319378
[TBL] [Abstract][Full Text] [Related]
14. Artificial apnea classification with quantitative sleep EEG synchronization.
Akṣahin M; Aydın S; Fırat H; Eroǧul O
J Med Syst; 2012 Feb; 36(1):139-44. PubMed ID: 20703741
[TBL] [Abstract][Full Text] [Related]
15. ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks.
Khandelwal S; Salankar N; Mian Qaisar S; Upadhyay J; Pławiak P
PLoS One; 2023; 18(11):e0293610. PubMed ID: 37917633
[TBL] [Abstract][Full Text] [Related]
16. Snoring sound classification from respiratory signal.
Shokrollahi M; Saha S; Hadi P; Rudzicz F; Yadollahi A
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3215-3218. PubMed ID: 28268992
[TBL] [Abstract][Full Text] [Related]
17. Portable Sleep Apnea Syndrome Screening and Event Detection Using Long Short-Term Memory Recurrent Neural Network.
Chang HC; Wu HT; Huang PC; Ma HP; Lo YL; Huang YH
Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33113849
[TBL] [Abstract][Full Text] [Related]
18. Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea.
Nikkonen S; Afara IO; Leppänen T; Töyräs J
Sci Rep; 2019 Sep; 9(1):13200. PubMed ID: 31519927
[TBL] [Abstract][Full Text] [Related]
19. Modeling respiratory movement signals during central and obstructive sleep apnea events using electrocardiogram.
Khandoker AH; Palaniswami M
Ann Biomed Eng; 2011 Feb; 39(2):801-11. PubMed ID: 20972625
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]