BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 38237197)

  • 21. 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]  

  • 22. 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]  

  • 23. Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram.
    Erdenebayar U; Kim YJ; Park JU; Joo EY; Lee KJ
    Comput Methods Programs Biomed; 2019 Oct; 180():105001. PubMed ID: 31421606
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. [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]  

  • 26. Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network.
    Wang T; Lu C; Shen G; Hong F
    PeerJ; 2019; 7():e7731. PubMed ID: 31579607
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Myocardial infarction detection method based on the continuous T-wave area feature and multi-lead-fusion deep features.
    Jiang M; Bian F; Zhang J; Huang T; Xia L; Chu Y; Wang Z; Jiang J
    Physiol Meas; 2024 May; 45(5):. PubMed ID: 38697203
    [No Abstract]   [Full Text] [Related]  

  • 28. Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study.
    Mukherjee D; Dhar K; Schwenker F; Sarkar R
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450866
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal.
    Zarei A; Mohammadzadeh Asl B
    Comput Methods Programs Biomed; 2020 Oct; 195():105626. PubMed ID: 32634646
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram.
    Setiawan F; Lin CW
    Life (Basel); 2022 Sep; 12(10):. PubMed ID: 36294943
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG.
    Srivastava A; Pratiher S; Alam S; Hari A; Banerjee N; Ghosh N; Patra A
    Physiol Meas; 2022 Jun; 43(6):. PubMed ID: 35550571
    [No Abstract]   [Full Text] [Related]  

  • 32. A Dual-Scale Convolutional Neural Network for Sleep Apnea Detection with Time-Delayed SpO
    Zou R; Yue H; Lei W; Fan X; Ma W; Li P; Li Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082997
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea In Classification Problem.
    Nguyen HX; Nguyen DV; Pham HH; Do CD
    IEEE J Biomed Health Inform; 2024 May; PP():. PubMed ID: 38713565
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring.
    Castro ID; Varon C; Torfs T; Van Huffel S; Puers R; Van Hoof C
    Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29438344
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model.
    Zhang J; Tang Z; Gao J; Lin L; Liu Z; Wu H; Liu F; Yao R
    Comput Intell Neurosci; 2021; 2021():5594733. PubMed ID: 33859679
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Obstructive sleep apnea detection from single-lead electrocardiogram signals using one-dimensional squeeze-and-excitation residual group network.
    Yang Q; Zou L; Wei K; Liu G
    Comput Biol Med; 2022 Jan; 140():105124. PubMed ID: 34896885
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network.
    Niroshana SMI; Zhu X; Nakamura K; Chen W
    PLoS One; 2021; 16(4):e0250618. PubMed ID: 33901251
    [TBL] [Abstract][Full Text] [Related]  

  • 39. MS-Net: Sleep apnea detection in PPG using multi-scale block and shadow module one-dimensional convolutional neural network.
    Wei K; Zou L; Liu G; Wang C
    Comput Biol Med; 2023 Mar; 155():106469. PubMed ID: 36842220
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.
    Dong Y; Cai W; Qiu L; Guo Y; Chen Y; Zhang M; Wang D; Zhang H; Wang L
    Physiol Meas; 2022 Oct; 43(10):. PubMed ID: 35705072
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.