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 *

249 related articles for article (PubMed ID: 28269045)

  • 1. Automated detection of atrial fibrillation episode using novel heart rate variability features.
    Gilani M; Eklund JM; Makrehchi M
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3461-3464. PubMed ID: 28269045
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine.
    Czabanski R; Horoba K; Wrobel J; Matonia A; Martinek R; Kupka T; Jezewski M; Kahankova R; Jezewski J; Leski JM
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 32019220
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ranking of the most reliable beat morphology and heart rate variability features for the detection of atrial fibrillation in short single-lead ECG.
    Christov I; Krasteva V; Simova I; Neycheva T; Schmid R
    Physiol Meas; 2018 Sep; 39(9):094005. PubMed ID: 30102603
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal.
    Ebrahimzadeh E; Kalantari M; Joulani M; Shahraki RS; Fayaz F; Ahmadi F
    Comput Methods Programs Biomed; 2018 Oct; 165():53-67. PubMed ID: 30337081
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination.
    Wan X; Liu Y; Mei X; Ye J; Zeng C; Chen Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1809-1820. PubMed ID: 38388761
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of atrial fibrillation episodes using SVM.
    Mohebbi M; Ghassemian H
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():177-80. PubMed ID: 19162622
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonlinear analysis of electrocardiography signals for atrial fibrillation.
    Sezgin N
    ScientificWorldJournal; 2013; 2013():509784. PubMed ID: 23766694
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Study of atrial activities for abnormality detection by phase rectified signal averaging technique.
    Maji U; Pal S; Mitra M
    J Med Eng Technol; 2015; 39(5):291-302. PubMed ID: 26084877
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Impact of the presence of noise on RR interval-based atrial fibrillation detection.
    Oster J; Clifford GD
    J Electrocardiol; 2015; 48(6):947-51. PubMed ID: 26358629
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network.
    Ghosh SK; Tripathy RK; Paternina MRA; Arrieta JJ; Zamora-Mendez A; Naik GR
    J Med Syst; 2020 May; 44(6):114. PubMed ID: 32388733
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Atrial Fibrillation on Stroke Units: Comparison of Manual versus Automatic Analysis of Continuous Telemetry.
    Rogalewski A; Plümer J; Feldmann T; Oelschläger C; Greeve I; Kitsiou A; Schellinger PD; Israel CW; Schäbitz WR
    Cerebrovasc Dis; 2020; 49(6):647-655. PubMed ID: 33207338
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning detection of Atrial Fibrillation using wearable technology.
    Lown M; Brown M; Brown C; Yue AM; Shah BN; Corbett SJ; Lewith G; Stuart B; Moore M; Little P
    PLoS One; 2020; 15(1):e0227401. PubMed ID: 31978173
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection of atrial fibrillation episodes using multiple heart rate variability features in different time periods.
    Kim D; Seo Y; Youn CH
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5482-5. PubMed ID: 19163958
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An automated detection of atrial fibrillation from single‑lead ECG using HRV features and machine learning.
    Udawat AS; Singh P
    J Electrocardiol; 2022; 75():70-81. PubMed ID: 35918202
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection.
    Shao M; Zhou Z; Bin G; Bai Y; Wu S
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31979184
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Implementation and validation of real-time algorithms for atrial fibrillation detection on a wearable ECG device.
    Marsili IA; Biasiolli L; Masè M; Adami A; Andrighetti AO; Ravelli F; Nollo G
    Comput Biol Med; 2020 Jan; 116():103540. PubMed ID: 31751811
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches.
    Jahan MS; Mansourvar M; Puthusserypady S; Wiil UK; Peimankar A
    Int J Med Inform; 2022 Jul; 163():104790. PubMed ID: 35552189
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy.
    Carrara M; Carozzi L; Moss TJ; de Pasquale M; Cerutti S; Ferrario M; Lake DE; Moorman JR
    Physiol Meas; 2015 Sep; 36(9):1873-88. PubMed ID: 26246162
    [TBL] [Abstract][Full Text] [Related]  

  • 19. RR interval analysis for detection of Atrial Fibrillation in ECG monitors.
    Ghodrati A; Murray B; Marinello S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():601-4. PubMed ID: 19162727
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A low-complexity algorithm for detection of atrial fibrillation using an ECG.
    Sadr N; Jayawardhana M; Pham TT; Tang R; Balaei AT; de Chazal P
    Physiol Meas; 2018 Jun; 39(6):064003. PubMed ID: 29791322
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.