Literature DB >> 30082087

Monitoring significant ST changes through deep learning.

Ran Xiao1, Yuan Xu2, Michele M Pelter2, Richard Fidler2, Fabio Badilini2, David W Mortara2, Xiao Hu3.   

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Year:  2018        PMID: 30082087      PMCID: PMC6261793          DOI: 10.1016/j.jelectrocard.2018.07.026

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


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  13 in total

1.  PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

Authors:  A L Goldberger; L A Amaral; L Glass; J M Hausdorff; P C Ivanov; R G Mark; J E Mietus; G B Moody; C K Peng; H E Stanley
Journal:  Circulation       Date:  2000-06-13       Impact factor: 29.690

2.  Automated detection of transient ST-segment episodes in 24 h electrocardiograms.

Authors:  A Smrdel; F Jager
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

3.  Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.

Authors:  Jen Hong Tan; Yuki Hagiwara; Winnie Pang; Ivy Lim; Shu Lih Oh; Muhammad Adam; Ru San Tan; Ming Chen; U Rajendra Acharya
Journal:  Comput Biol Med       Date:  2018-01-02       Impact factor: 4.589

4.  Electrocardiogram Signal Quality Assessment Based on Structural Image Similarity Metric.

Authors:  Yalda Shahriari; Richard Fidler; Michele M Pelter; Yong Bai; Andrea Villaroman; Xiao Hu
Journal:  IEEE Trans Biomed Eng       Date:  2017-06-21       Impact factor: 4.538

5.  Transient myocardial ischemia is an independent predictor of adverse in-hospital outcomes in patients with acute coronary syndromes treated in the telemetry unit.

Authors:  Michele M Pelter; Mary G Adams; Barbara J Drew
Journal:  Heart Lung       Date:  2003 Mar-Apr       Impact factor: 2.210

6.  False alarms during patient monitoring in clinical intensive care units are highly related to poor quality of the monitored electrocardiogram signals.

Authors:  Charalampos Tsimenidis; Alan Murray
Journal:  Physiol Meas       Date:  2016-07-25       Impact factor: 2.833

Review 7.  Epidemiology of coronary heart disease and acute coronary syndrome.

Authors:  Fabian Sanchis-Gomar; Carme Perez-Quilis; Roman Leischik; Alejandro Lucia
Journal:  Ann Transl Med       Date:  2016-07

Review 8.  Update to Practice Standards for Electrocardiographic Monitoring in Hospital Settings: A Scientific Statement From the American Heart Association.

Authors:  Kristin E Sandau; Marjorie Funk; Andrew Auerbach; Gregory W Barsness; Kay Blum; Maria Cvach; Rachel Lampert; Jeanine L May; George M McDaniel; Marco V Perez; Sue Sendelbach; Claire E Sommargren; Paul J Wang
Journal:  Circulation       Date:  2017-10-03       Impact factor: 29.690

9.  Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.

Authors:  Barbara J Drew; Patricia Harris; Jessica K Zègre-Hemsey; Tina Mammone; Daniel Schindler; Rebeca Salas-Boni; Yong Bai; Adelita Tinoco; Quan Ding; Xiao Hu
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

10.  Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia.

Authors:  F Jager; A Taddei; G B Moody; M Emdin; G Antolic; R Dorn; A Smrdel; C Marchesi; R G Mark
Journal:  Med Biol Eng Comput       Date:  2003-03       Impact factor: 3.079

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  3 in total

1.  Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.

Authors:  Tania Pereira; Cheng Ding; Kais Gadhoumi; Nate Tran; Rene A Colorado; Karl Meisel; Xiao Hu
Journal:  Physiol Meas       Date:  2019-12-27       Impact factor: 2.833

Review 2.  Photoplethysmography based atrial fibrillation detection: a review.

Authors:  Tania Pereira; Nate Tran; Kais Gadhoumi; Michele M Pelter; Duc H Do; Randall J Lee; Rene Colorado; Karl Meisel; Xiao Hu
Journal:  NPJ Digit Med       Date:  2020-01-10

Review 3.  Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review.

Authors:  Ping Xiong; Simon Ming-Yuen Lee; Ging Chan
Journal:  Front Cardiovasc Med       Date:  2022-03-25
  3 in total

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