Literature DB >> 27031917

See through ECG technology during cardiopulmonary resuscitation to analyze rhythm and predict defibrillation outcome.

Roberta Affatato1, Yongqin Li, Giuseppe Ristagno.   

Abstract

PURPOSE OF REVIEW: Automated external defibrillators require preshock interruptions in cardiopulmonary resuscitation (CPR) to perform rhythm analysis. Artifact filtering technology may provide the opportunity to visualize the underlying ECG trace during CPR. Moreover, a continuous ventricular fibrillation analysis may be performed such to prioritize CPR interventions, that is, chest compression or defibrillation. RECENT
FINDINGS: Different ECG filtering techniques and ventricular fibrillation analysis algorithms to predict defibrillation outcome have been developed. Techniques to analyze ECG rhythm during CPR encompass two major solutions: adaptive filters for the suppression of chest compression artifacts and algorithms for a direct analysis of the artifact-contaminated ECG. The above methods achieve overall a high sensitivity of more than 99%, but an unacceptable specificity of less than 93%. Among the different ventricular fibrillation analysis approaches and defibrillation predictors, amplitude spectrum area has appeared as an independent predictor of defibrillation success, with an area under the receiver operating curve of 0.86.
SUMMARY: The feasibility of ventricular fibrillation detection during CPR is a challenging issue that, if solved, would enable CPR to continue during the automated external defibrillator rhythm analysis. Furthermore, it would allow a continuous ventricular fibrillation analysis to optimize the timing of defibrillation and maximize the shock success.

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Mesh:

Year:  2016        PMID: 27031917     DOI: 10.1097/MCC.0000000000000297

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  9 in total

1.  Ventricular Fibrillation Waveform Analysis During Chest Compressions to Predict Survival From Cardiac Arrest.

Authors:  Jason Coult; Jennifer Blackwood; Lawrence Sherman; Thomas D Rea; Peter J Kudenchuk; Heemun Kwok
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-01

2.  A Method to Detect Presence of Chest Compressions During Resuscitation Using Transthoracic Impedance.

Authors:  Jason Coult; Jennifer Blackwood; Thomas D Rea; Peter J Kudenchuk; Heemun Kwok
Journal:  IEEE J Biomed Health Inform       Date:  2019-05-24       Impact factor: 5.772

3.  Ventricular fibrillation waveform measures combined with prior shock outcome predict defibrillation success during cardiopulmonary resuscitation.

Authors:  Jason Coult; Heemun Kwok; Lawrence Sherman; Jennifer Blackwood; Peter J Kudenchuk; Thomas D Rea
Journal:  J Electrocardiol       Date:  2017-08-01       Impact factor: 1.438

Review 4.  Towards individualised treatment of out-of-hospital cardiac arrest patients: an update on technical innovations in the prehospital chain of survival.

Authors:  J Thannhauser; J Nas; R A Waalewijn; N van Royen; J L Bonnes; M A Brouwer; M J de Boer
Journal:  Neth Heart J       Date:  2021-08-09       Impact factor: 2.854

5.  Estimating the amplitude spectrum area of ventricular fibrillation during cardiopulmonary resuscitation using only ECG waveform.

Authors:  Feng Zuo; Youde Ding; Chenxi Dai; Liang Wei; Yushun Gong; Juan Wang; Yiming Shen; Yongqin Li
Journal:  Ann Transl Med       Date:  2021-04

6.  Automated Condition-Based Suppression of the CPR Artifact in ECG Data to Make a Reliable Shock Decision for AEDs during CPR.

Authors:  Shirin Hajeb-Mohammadalipour; Alicia Cascella; Matt Valentine; Ki H Chon
Journal:  Sensors (Basel)       Date:  2021-12-08       Impact factor: 3.576

7.  Validation of spectral energy for the quantitative analysis of ventricular fibrillation waveform to guide defibrillation in a porcine model of cardiac arrest and resuscitation.

Authors:  Qiyu Yang; Ming Li; Zhaolan Huang; Zhuoyan Xie; Yue Wang; Qin Ling; Xuefen Liu; Wanchun Tang; Longyuan Jiang; Zhengfei Yang
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

8.  Development and Validation of a Multi-Algorithm Analytic Platform to Detect Off-Target Mechanical Ventilation.

Authors:  Jason Y Adams; Monica K Lieng; Brooks T Kuhn; Greg B Rehm; Edward C Guo; Sandra L Taylor; Jean-Pierre Delplanque; Nicholas R Anderson
Journal:  Sci Rep       Date:  2017-11-03       Impact factor: 4.379

9.  Insights From the Ventricular Fibrillation Waveform Into the Mechanism of Survival Benefit From Bystander Cardiopulmonary Resuscitation.

Authors:  Brooke Bessen; Jason Coult; Jennifer Blackwood; Cindy H Hsu; Peter Kudenchuk; Thomas Rea; Heemun Kwok
Journal:  J Am Heart Assoc       Date:  2021-09-25       Impact factor: 5.501

  9 in total

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