Literature DB >> 8022221

Recognition of ventricular fibrillation using neural networks.

R H Clayton1, A Murray, R W Campbell.   

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Year:  1994        PMID： 8022221     DOI： 10.1007/bf02518922

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN： 0140-0118            Impact factor:   2.602


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  6 in total

Review 1.  Review of neural network applications in medical imaging and signal processing.

Authors:  A S Miller; B H Blott; T K Hames
Journal:  Med Biol Eng Comput       Date:  1992-09       Impact factor: 2.602

2.  Clinical experience with three different defibrillators for resuscitation of out of hospital cardiac arrest.

Authors:  J Jakobsson; N Rehnqvist; O Nyqvist
Journal:  Resuscitation       Date:  1990-04       Impact factor: 5.262

3.  Algorithmic sequential decision-making in the frequency domain for life threatening ventricular arrhythmias and imitative artefacts: a diagnostic system.

Authors:  S Barro; R Ruiz; D Cabello; J Mira
Journal:  J Biomed Eng       Date:  1989-07

4.  Ventricular fibrillation detection by a regression test on the autocorrelation function.

Authors:  S Chen; N V Thakor; M M Mower
Journal:  Med Biol Eng Comput       Date:  1987-05       Impact factor: 2.602

5.  Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm.

Authors:  N V Thakor; Y S Zhu; K Y Pan
Journal:  IEEE Trans Biomed Eng       Date:  1990-09       Impact factor: 4.538

6.  Comparison of four techniques for recognition of ventricular fibrillation from the surface ECG.

Authors:  R H Clayton; A Murray; R W Campbell
Journal:  Med Biol Eng Comput       Date:  1993-03       Impact factor: 2.602
  6 in total
  6 in total

1.  Efficient and robust ventricular tachycardia and fibrillation detection method for wearable cardiac health monitoring devices.

Authors:  Eedara Prabhakararao; M Sabarimalai Manikandan
Journal:  Healthc Technol Lett       Date:  2016-07-29

Review 2.  Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment.

Authors:  Steven E Dilsizian; Eliot L Siegel
Journal:  Curr Cardiol Rep       Date:  2014-01       Impact factor: 2.931

3.  Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection.

Authors:  Juyoung Park; Mingon Kang; Jean Gao; Younghoon Kim; Kyungtae Kang
Journal:  J Med Syst       Date:  2016-11-26       Impact factor: 4.460

4.  Detection of Ventricular Fibrillation Based on Ballistocardiography by Constructing an Effective Feature Set.

Authors:  Rongru Wan; Yanqi Huang; Xiaomei Wu
Journal:  Sensors (Basel)       Date:  2021-05-19       Impact factor: 3.576

5.  Arrhythmia identification with two-lead electrocardiograms using artificial neural networks and support vector machines for a portable ECG monitor system.

Authors:  Shing-Hong Liu; Da-Chuan Cheng; Chih-Ming Lin
Journal:  Sensors (Basel)       Date:  2013-01-09       Impact factor: 3.576

6.  Wavelet Based Method for Congestive Heart Failure Recognition by Three Confirmation Functions.

Authors:  K Daqrouq; A Dobaie
Journal:  Comput Math Methods Med       Date:  2016-02-02       Impact factor: 2.238
  6 in total

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