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Journal Abstract Search

415 related items for PubMed ID: 28061368

  • 1. Modeling of the photoplethysmogram during atrial fibrillation.
    Sološenko A, Petrėnas A, Marozas V, Sörnmo L.
    Comput Biol Med; 2017 Feb 01; 81():130-138. PubMed ID: 28061368
    [Abstract] [Full Text] [Related]

  • 2. Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
    Kwon S, Hong J, Choi EK, Lee E, Hostallero DE, Kang WJ, Lee B, Jeong ER, Koo BK, Oh S, Yi Y.
    JMIR Mhealth Uhealth; 2019 Jun 06; 7(6):e12770. PubMed ID: 31199302
    [Abstract] [Full Text] [Related]

  • 3. Mobile Phone-Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App.
    Proesmans T, Mortelmans C, Van Haelst R, Verbrugge F, Vandervoort P, Vaes B.
    JMIR Mhealth Uhealth; 2019 Mar 27; 7(3):e12284. PubMed ID: 30916656
    [Abstract] [Full Text] [Related]

  • 4. A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia.
    Han D, Bashar SK, Lázaro J, Mohagheghian F, Peitzsch A, Nishita N, Ding E, Dickson EL, DiMezza D, Scott J, Whitcomb C, Fitzgibbons TP, McManus DD, Chon KH.
    Biosensors (Basel); 2022 Jan 29; 12(2):. PubMed ID: 35200342
    [Abstract] [Full Text] [Related]

  • 5. Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data.
    Eerikainen LM, Bonomi AG, Schipper F, Dekker LRC, de Morree HM, Vullings R, Aarts RM.
    IEEE J Biomed Health Inform; 2020 Jun 29; 24(6):1610-1618. PubMed ID: 31689222
    [Abstract] [Full Text] [Related]

  • 6. Derivation of respiration rate from ambulatory ECG and PPG using Ensemble Empirical Mode Decomposition: Comparison and fusion.
    Orphanidou C.
    Comput Biol Med; 2017 Feb 01; 81():45-54. PubMed ID: 28012294
    [Abstract] [Full Text] [Related]

  • 7. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.
    Poh MZ, Poh YC, Chan PH, Wong CK, Pun L, Leung WW, Wong YF, Wong MM, Chu DW, Siu CW.
    Heart; 2018 Dec 01; 104(23):1921-1928. PubMed ID: 29853485
    [Abstract] [Full Text] [Related]

  • 8. Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches.
    Bashar SK, Han D, Hajeb-Mohammadalipour S, Ding E, Whitcomb C, McManus DD, Chon KH.
    Sci Rep; 2019 Oct 21; 9(1):15054. PubMed ID: 31636284
    [Abstract] [Full Text] [Related]

  • 9. Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions.
    Eerikäinen LM, Bonomi AG, Schipper F, Dekker LRC, Vullings R, de Morree HM, Aarts RM.
    Physiol Meas; 2018 Aug 08; 39(8):084001. PubMed ID: 29995641
    [Abstract] [Full Text] [Related]

  • 10. 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 24; 39(9):094005. PubMed ID: 30102603
    [Abstract] [Full Text] [Related]

  • 11. Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.
    Gruwez H, Ezzat D, Van Puyvelde T, Dhont S, Meekers E, Bruckers L, Wouters F, Kellens M, Van Herendael H, Rivero-Ayerza M, Nuyens D, Haemers P, Pison L.
    Europace; 2024 Mar 30; 26(4):. PubMed ID: 38630867
    [Abstract] [Full Text] [Related]

  • 12. Identification of Atrial Fibrillation by Quantitative Analyses of Fingertip Photoplethysmogram.
    Tang SC, Huang PW, Hung CS, Shan SM, Lin YH, Shieh JS, Lai DM, Wu AY, Jeng JS.
    Sci Rep; 2017 Apr 03; 7():45644. PubMed ID: 28367965
    [Abstract] [Full Text] [Related]

  • 13. Wrist band photoplethysmography in detection of individual pulses in atrial fibrillation and algorithm-based detection of atrial fibrillation.
    Väliaho ES, Kuoppa P, Lipponen JA, Martikainen TJ, Jäntti H, Rissanen TT, Kolk I, Castrén M, Halonen J, Tarvainen MP, Hartikainen JEK.
    Europace; 2019 Jul 01; 21(7):1031-1038. PubMed ID: 31505594
    [Abstract] [Full Text] [Related]

  • 14. Effects of using different algorithms and fiducial points for the detection of interbeat intervals, and different sampling rates on the assessment of pulse rate variability from photoplethysmography.
    Mejía-Mejía E, May JM, Kyriacou PA.
    Comput Methods Programs Biomed; 2022 May 01; 218():106724. PubMed ID: 35255373
    [Abstract] [Full Text] [Related]

  • 15. Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry).
    Fan YY, Li YG, Li J, Cheng WK, Shan ZL, Wang YT, Guo YT.
    JMIR Mhealth Uhealth; 2019 Mar 05; 7(3):e11437. PubMed ID: 30835243
    [Abstract] [Full Text] [Related]

  • 16. A novel method for detection of the transition between atrial fibrillation and sinus rhythm.
    Huang C, Ye S, Chen H, Li D, He F, Tu Y.
    IEEE Trans Biomed Eng; 2011 Apr 05; 58(4):1113-9. PubMed ID: 21134807
    [Abstract] [Full Text] [Related]

  • 17. Efficient noise-tolerant estimation of heart rate variability using single-channel photoplethysmography.
    Firoozabadi R, Helfenbein ED, Babaeizadeh S.
    J Electrocardiol; 2017 Apr 05; 50(6):841-846. PubMed ID: 28918214
    [Abstract] [Full Text] [Related]

  • 18. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks.
    Ramesh J, Solatidehkordi Z, Aburukba R, Sagahyroon A.
    Sensors (Basel); 2021 Oct 30; 21(21):. PubMed ID: 34770543
    [Abstract] [Full Text] [Related]

  • 19. Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.
    Mohagheghian F, Han D, Peitzsch A, Nishita N, Ding E, Dickson EL, DiMezza D, Otabil EM, Noorishirazi K, Scott J, Lessard D, Wang Z, Whitcomb C, Tran KV, Fitzgibbons TP, McManus DD, Chon KH.
    IEEE Trans Biomed Eng; 2022 Sep 30; 69(9):2982-2993. PubMed ID: 35275809
    [Abstract] [Full Text] [Related]

  • 20. Monitoring of heart rate and inter-beat intervals with wrist plethysmography in patients with atrial fibrillation.
    Harju J, Tarniceriu A, Parak J, Vehkaoja A, Yli-Hankala A, Korhonen I.
    Physiol Meas; 2018 Jun 27; 39(6):065007. PubMed ID: 29856730
    [Abstract] [Full Text] [Related]

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