Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias
暂无分享,去创建一个
Vaidotas Marozas | Andrius Petrenas | Birute Paliakaite | Andrius Solosenko | A. Petrėnas | Andrius Sološenko | V. Marozas | Birutė Paliakaitė
[1] Andy Adler,et al. Evaluation of the signal quality of wrist-based photoplethysmography , 2019, Physiological Measurement.
[2] N. Sohoni,et al. Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch , 2018, JAMA cardiology.
[3] M. Elgendi,et al. Synthetic photoplethysmogram generation using two Gaussian functions , 2020, Scientific Reports.
[4] J. Makielski,et al. Mechanisms of sudden cardiac death: oxidants and metabolism. , 2015, Circulation research.
[5] M. Chung,et al. Atrial Fibrillation Burden: Moving Beyond Atrial Fibrillation as a Binary Entity A Scientific Statement From the American Heart Association , 2018, Circulation.
[6] Rajarshi Gupta,et al. MoDTRAP: Improved heart rate tracking and preprocessing of motion-corrupted photoplethysmographic data for personalized healthcare , 2020, Biomed. Signal Process. Control..
[7] P. Kalra,et al. Arrhythmia in hemodialysis patients and its relation to sudden death. , 2018, Kidney international.
[8] James McNames,et al. An automatic beat detection algorithm for pressure signals , 2005, IEEE Transactions on Biomedical Engineering.
[9] Jason G. Andrade,et al. The Emerging Role of Wearable Technologies in Detection of Arrhythmia. , 2018, The Canadian journal of cardiology.
[10] Vaidotas Marozas,et al. Estimation of Heart Rate Recovery after Stair Climbing Using a Wrist-Worn Device , 2019, Sensors.
[11] Andrew Davenport,et al. Sudden cardiac death in dialysis patients: different causes and management strategies. , 2019, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[12] Linda M. Eerikäinen,et al. How Accurately Can We Detect Atrial Fibrillation Using Photoplethysmography Data Measured in Daily Life? , 2019, 2019 Computing in Cardiology (CinC).
[13] Jun Hu,et al. Study of Artifact-Resistive Technology Based on a Novel Dual Photoplethysmography Method for Wearable Pulse Rate Monitors , 2015, Journal of Medical Systems.
[14] Esther Rodriguez-Villegas,et al. Characterization of Artifact Signals in Neck Photoplethysmography , 2020, IEEE Transactions on Biomedical Engineering.
[15] Steffen Leonhardt,et al. Modeling of motion artifacts in contactless heart rate measurements , 2013, Computing in Cardiology 2013.
[16] Toshiyo Tamura,et al. The Advantages of Wearable Green Reflected Photoplethysmography , 2011, Journal of Medical Systems.
[17] L. Mainardi,et al. Detection of atrial fibrillation episodes using a wristband device , 2017, Physiological measurement.
[18] Takashi Sato,et al. PARHELIA: Particle Filter-Based Heart Rate Estimation From Photoplethysmographic Signals During Physical Exercise , 2018, IEEE Transactions on Biomedical Engineering.
[19] Jean-Marc Vesin,et al. Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering , 2017, Physiological measurement.
[20] Steffen Leonhardt,et al. Modelling and Synthesizing Motion Artifacts in Unobtrusive Multimodal Sensing using Copulas , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[21] Bruce M Psaty,et al. Yield and consistency of arrhythmia detection with patch electrocardiographic monitoring: The Multi-Ethnic Study of Atherosclerosis. , 2018, Journal of electrocardiology.
[22] Linda M. Eerikäinen,et al. Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist , 2018, Journal of the American Heart Association.
[23] Jong-Woong Kim,et al. Motion Artifact Identification and Removal From Wearable Reflectance Photoplethysmography Using Piezoelectric Transducer , 2019, IEEE Sensors Journal.
[24] D. Charytan,et al. Primary outcomes of the Monitoring in Dialysis Study indicate that clinically significant arrhythmias are common in hemodialysis patients and related to dialytic cycle. , 2018, Kidney international.
[25] Vaidotas Marozas,et al. Modeling of the photoplethysmogram during atrial fibrillation , 2017, Comput. Biol. Medicine.
[26] Ki H. Chon,et al. Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches , 2019, Scientific Reports.
[27] M. Turakhia,et al. Diagnostic utility of a novel leadless arrhythmia monitoring device. , 2013, The American journal of cardiology.
[28] Prashanthan Sanders,et al. Bradycardia and asystole is the predominant mechanism of sudden cardiac death in patients with chronic kidney disease. , 2015, Journal of the American College of Cardiology.
[29] Terry M Therneau,et al. Sudden death after myocardial infarction. , 2008, JAMA.
[30] Chris Van Hoof,et al. Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths , 2019, Sensors.
[31] Linda M. Eerikäinen,et al. Detecting episodes of brady- and tachycardia using photo-plethysmography at the wrist in free-living conditions , 2017, 2017 Computing in Cardiology (CinC).
[32] Stefan Gross,et al. The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation. , 2019, JACC. Clinical electrophysiology.
[33] John M. Graybeal,et al. The Effect of Motion on Pulse Oximetry and Its Clinical Significance , 2007, Anesthesia and analgesia.
[34] G. Hindricks,et al. European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population , 2020, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.
[35] Marco V Perez,et al. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. , 2019, The New England journal of medicine.
[36] Guy Lapalme,et al. A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..
[37] Jinseok Lee,et al. Finite State Machine Framework for Instantaneous Heart Rate Validation Using Wearable Photoplethysmography During Intensive Exercise , 2019, IEEE Journal of Biomedical and Health Informatics.
[38] N H Lovell,et al. Signal quality measures for pulse oximetry through waveform morphology analysis , 2011, Physiological measurement.
[39] Md. Kamrul Hasan,et al. A Robust Heart Rate Monitoring Scheme Using Photoplethysmographic Signals Corrupted by Intense Motion Artifacts , 2016, IEEE Transactions on Biomedical Engineering.
[40] Wataru Shimizu,et al. The spectrum of epidemiology underlying sudden cardiac death. , 2015, Circulation research.
[41] Linda M. Eerikäinen,et al. Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions , 2018, Physiological measurement.
[42] H. Lee,et al. Motion Artifact Cancellation in Wearable Photoplethysmography Using Gyroscope , 2019, IEEE Sensors Journal.
[43] A. Petrėnas,et al. Photoplethysmogram Modeling of Extreme Bradycardia and Ventricular Tachycardia , 2019, IFMBE Proceedings.
[44] Kent R Bailey,et al. Systematic review for the 2017 AHA/ACC/HRS guideline for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. , 2018, Heart rhythm.
[45] Prashanthan Sanders,et al. Temporal distribution of arrhythmic events in chronic kidney disease: Highest incidence in the long interdialytic period. , 2015, Heart rhythm.
[46] Toshiyo Tamura,et al. Relationship Between Measurement Site and Motion Artifacts in Wearable Reflected Photoplethysmography , 2011, Journal of Medical Systems.
[47] T. Dawber,et al. Characteristics of the Dicrotic Notch of the Arterial Pulse Wave in Coronary Heart Disease , 1973, Angiology.
[48] Einly Lim,et al. Adaptive template matching of photoplethysmogram pulses to detect motion artefact , 2018, Physiological measurement.
[49] Vaidotas Marozas,et al. Detection of atrial fibrillation using a wrist-worn device , 2019, Physiological measurement.
[50] Alexander J. Casson,et al. Gyroscope vs. accelerometer measurements of motion from wrist PPG during physical exercise , 2016, ICT Express.
[51] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[52] Zhilin Zhang,et al. TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise , 2014, IEEE Transactions on Biomedical Engineering.
[53] John Allen. Photoplethysmography and its application in clinical physiological measurement , 2007, Physiological measurement.
[54] Jean-Marc Vesin,et al. Can one detect atrial fibrillation using a wrist-type photoplethysmographic device? , 2018, Medical & Biological Engineering & Computing.
[55] W Karlen,et al. Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation , 2012, Physiological measurement.
[56] Jeremiah D. Wander,et al. A combined segmenting and non-segmenting approach to signal quality estimation for ambulatory photoplethysmography , 2014, Physiological measurement.