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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

474 related articles for article (PubMed ID: 25226993)

  • 1. Sleep apnea classification using ECG-signal wavelet-PCA features.
    Rachim VP; Li G; Chung WY
    Biomed Mater Eng; 2014; 24(6):2875-82. PubMed ID: 25226993
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings.
    Khandoker AH; Palaniswami M; Karmakar CK
    IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):37-48. PubMed ID: 19129022
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of three methods for extracting respiration from the surface ECG: a review.
    Helfenbein E; Firoozabadi R; Chien S; Carlson E; Babaeizadeh S
    J Electrocardiol; 2014; 47(6):819-25. PubMed ID: 25194875
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Apnea MedAssist: real-time sleep apnea monitor using single-lead ECG.
    Bsoul M; Minn H; Tamil L
    IEEE Trans Inf Technol Biomed; 2011 May; 15(3):416-27. PubMed ID: 20952340
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Obstructive sleep apnea detection using SVM-based classification of ECG signal features.
    Almazaydeh L; Elleithy K; Faezipour M
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4938-41. PubMed ID: 23367035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [An algorithm based on ECG signal for sleep apnea syndrome detection].
    Yu X; Tu Y; Huang C; Ye S; Chen H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):999-1002. PubMed ID: 24459959
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis.
    Mendez MO; Corthout J; Van Huffel S; Matteucci M; Penzel T; Cerutti S; Bianchi AM
    Physiol Meas; 2010 Mar; 31(3):273-89. PubMed ID: 20086277
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions.
    Sharma H; Sharma KK
    Comput Biol Med; 2016 Oct; 77():116-24. PubMed ID: 27543782
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sleep apnea screening by autoregressive models from a single ECG lead.
    Mendez MO; Bianchi AM; Matteucci M; Cerutti S; Penzel T
    IEEE Trans Biomed Eng; 2009 Dec; 56(12):2838-50. PubMed ID: 19709961
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sleep apnea detection from ECG using variational mode decomposition.
    Sharma H; Sharma KK
    Biomed Phys Eng Express; 2020 Jan; 6(1):015026. PubMed ID: 33438614
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG.
    Varon C; Caicedo A; Testelmans D; Buyse B; Van Huffel S
    IEEE Trans Biomed Eng; 2015 Sep; 62(9):2269-2278. PubMed ID: 25879836
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust electrocardiogram (ECG) beat classification using discrete wavelet transform.
    Minhas FU; Arif M
    Physiol Meas; 2008 May; 29(5):555-70. PubMed ID: 18427158
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of sleep apnea from surface ECG based on features extracted by an autoregressive model.
    Mendez MO; Ruini DD; Villantieri OP; Matteucci M; Penzel T; Cerutti S; Bianchi AM
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():6106-9. PubMed ID: 18003408
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sleep apnea classification using least-squares support vector machines on single lead ECG.
    Varon C; Testelmans D; Buyse B; Suykens JA; Van Huffel S
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5029-32. PubMed ID: 24110865
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings.
    Khandoker AH; Karmakar CK; Palaniswami M
    Comput Biol Med; 2009 Jan; 39(1):88-96. PubMed ID: 19144328
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea.
    de Chazal P; Heneghan C; Sheridan E; Reilly R; Nolan P; O'Malley M
    IEEE Trans Biomed Eng; 2003 Jun; 50(6):686-96. PubMed ID: 12814235
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic detection and quantification of sleep apnea using heart rate variability.
    Babaeizadeh S; White DP; Pittman SD; Zhou SH
    J Electrocardiol; 2010; 43(6):535-41. PubMed ID: 20719334
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recurrence analysis of nocturnal heart rate in sleep apnea patients.
    Maier C; Dickhaus H
    Biomed Tech (Berl); 2006 Oct; 51(4):224-8. PubMed ID: 17061944
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy-Based Features From Single-Lead ECG Signal.
    Zarei A; Asl BM
    IEEE J Biomed Health Inform; 2019 May; 23(3):1011-1021. PubMed ID: 29993564
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.