Multiscale frequency technique robustly discriminates normal sinus rhythm and atrial fibrillation on a single lead electrocardiogram

Shivaram P. Arunachalam, Elizabeth M. Annoni, Suraj Kapa, Siva Mulpuru, Paul Andrew Friedman, Elena G. Tolkacheva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia affecting approximately 3 million Americans, and is a prognostic marker for stroke, heart failure and even death. 12-lead electrocardiogram (ECG) is used to monitor normal sinus rhythm (NSR) and also detect AF in ICU and ambulatory patients. Current techniques to discriminate NSR and AF from single lead ECG suffer several limitations in terms of sensitivity and specificity using short time ECG data which distorts ECG and many are not suitable for real-time implementation. There is a clear need for more robust detection and classification algorithms for clinical applications and specifically for delivering appropriate therapy for implantable cardioverter defibrillators (ICD) to provide lifesaving timely action. In this work, the authors propose and demonstrate the application of a multiscale frequency (MSF) technique which takes into account the contribution from various frequencies in ECG and thus yield valuable information regarding the chaotic nature of AF. In this work the authors used AF (25 ECG samples) and NSR (25 ECG samples) traces from publically available Atrial Fibrillation Physionet database for accurate discrimination using MSF approach. The results demonstrate that MSF index is significantly higher (p<0.01) in AF compared to NSR thus enabling robust discrimination. These results offer huge promise for clinical diagnosis of AF from single lead ECG enabling novel treatment strategies in a quick and effective fashion especially in ICD’s as well as for routine monitoring of ambulatory patients. The results also motivate the use of this technique for analysis of other cardiac arrhythmias such as ventricular tachycardia (VT) or ventricular fibrillation (VF).

Original languageEnglish (US)
Title of host publication54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017
PublisherInternational Society of Automation (ISA)
Volume2017-March
ISBN (Electronic)9781945541193
StatePublished - Jan 1 2017
Event54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 - Denver, United States
Duration: Mar 31 2017Apr 1 2017

Other

Other54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017
CountryUnited States
CityDenver
Period3/31/174/1/17

Fingerprint

fibrillation
electrocardiography
sinuses
rhythm
Electrocardiography
Atrial Fibrillation
Lead
arrhythmia
Cardiac Arrhythmias
Implantable cardioverter defibrillators
discrimination
tachycardia
Ambulatory Monitoring
Intensive care units
Implantable Defibrillators
Physiologic Monitoring
Ventricular Fibrillation
Ventricular Tachycardia
strokes
death

Keywords

  • Atrial fibrillation
  • Cardiac arrhythmias
  • ECG
  • Multiscale frequency
  • Normal sinus rhythm

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Biotechnology
  • Biomedical Engineering

Cite this

Arunachalam, S. P., Annoni, E. M., Kapa, S., Mulpuru, S., Friedman, P. A., & Tolkacheva, E. G. (2017). Multiscale frequency technique robustly discriminates normal sinus rhythm and atrial fibrillation on a single lead electrocardiogram. In 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 (Vol. 2017-March). International Society of Automation (ISA).

Multiscale frequency technique robustly discriminates normal sinus rhythm and atrial fibrillation on a single lead electrocardiogram. / Arunachalam, Shivaram P.; Annoni, Elizabeth M.; Kapa, Suraj; Mulpuru, Siva; Friedman, Paul Andrew; Tolkacheva, Elena G.

54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017. Vol. 2017-March International Society of Automation (ISA), 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arunachalam, SP, Annoni, EM, Kapa, S, Mulpuru, S, Friedman, PA & Tolkacheva, EG 2017, Multiscale frequency technique robustly discriminates normal sinus rhythm and atrial fibrillation on a single lead electrocardiogram. in 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017. vol. 2017-March, International Society of Automation (ISA), 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017, Denver, United States, 3/31/17.
Arunachalam SP, Annoni EM, Kapa S, Mulpuru S, Friedman PA, Tolkacheva EG. Multiscale frequency technique robustly discriminates normal sinus rhythm and atrial fibrillation on a single lead electrocardiogram. In 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017. Vol. 2017-March. International Society of Automation (ISA). 2017
Arunachalam, Shivaram P. ; Annoni, Elizabeth M. ; Kapa, Suraj ; Mulpuru, Siva ; Friedman, Paul Andrew ; Tolkacheva, Elena G. / Multiscale frequency technique robustly discriminates normal sinus rhythm and atrial fibrillation on a single lead electrocardiogram. 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017. Vol. 2017-March International Society of Automation (ISA), 2017.
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