Literature DB >> 22198092

Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance.

E Aramendi1, U Ayala, U Irusta, E Alonso, T Eftestøl, J Kramer-Johansen.   

Abstract

AIM: To demonstrate that the instantaneous chest compression rate can be accurately estimated from the transthoracic impedance (TTI), and that this estimated rate can be used in a method to suppress cardiopulmonary resuscitation (CPR) artefacts.
METHODS: A database of 372 records, 87 shockable and 285 non-shockable, from out-of-hospital cardiac arrest episodes, corrupted by CPR artefacts, was analysed. Each record contained the ECG and TTI obtained from the defibrillation pads and the compression depth (CD) obtained from a sternal CPR pad. The chest compression rates estimated using TTI and CD were compared. The CPR artefacts were then filtered using the instantaneous chest compression rates estimated from the TTI or CD signals. The filtering results were assessed in terms of the sensitivity and specificity of the shock advice algorithm of a commercial automated external defibrillator.
RESULTS: The correlation between the mean chest compression rates estimated using TTI or CD was r=0.98 (95% confidence interval, 0.97-0.98). The sensitivity and specificity after filtering using CD were 95.4% (88.4-98.6%) and 87.0% (82.6-90.5%), respectively. The sensitivity and specificity after filtering using TTI were 95.4% (88.4-98.6%) and 86.3% (81.8-89.9%), respectively.
CONCLUSIONS: The instantaneous chest compression rate can be accurately estimated from TTI. The sensitivity and specificity after filtering are similar to those obtained using the CD signal. Our CPR suppression method based exclusively on signals acquired through the defibrillation pads is as accurate as methods based on signals obtained from CPR feedback devices.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22198092     DOI: 10.1016/j.resuscitation.2011.11.029

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  7 in total

1.  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

2.  Automatic identification of compressions and ventilations during CPR based on the fuzzy c-means clustering and deep belief network.

Authors:  He-Hua Zhang; Li Yang; An-Hai Wei; Ao-Wen Duan; Yong-Ming Li; Ping Zhao; Yong-Qin Li
Journal:  Ann Transl Med       Date:  2020-09

3.  Removal of cardiopulmonary resuscitation artifacts with an enhanced adaptive filtering method: an experimental trial.

Authors:  Yushun Gong; Tao Yu; Bihua Chen; Mi He; Yongqin Li
Journal:  Biomed Res Int       Date:  2014-03-27       Impact factor: 3.411

4.  Adult Basic Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Theresa M Olasveengen; Mary E Mancini; Gavin D Perkins; Suzanne Avis; Steven Brooks; Maaret Castrén; Sung Phil Chung; Julie Considine; Keith Couper; Raffo Escalante; Tetsuo Hatanaka; Kevin K C Hung; Peter Kudenchuk; Swee Han Lim; Chika Nishiyama; Giuseppe Ristagno; Federico Semeraro; Christopher M Smith; Michael A Smyth; Christian Vaillancourt; Jerry P Nolan; Mary Fran Hazinski; Peter T Morley
Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

5.  Effects of pre-training using serious game technology on CPR performance--an exploratory quasi-experimental transfer study.

Authors:  Johan Creutzfeldt; Leif Hedman; Li Felländer-Tsai
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-12-06       Impact factor: 2.953

Review 6.  Rhythm analysis during cardiopulmonary resuscitation: past, present, and future.

Authors:  Sofia Ruiz de Gauna; Unai Irusta; Jesus Ruiz; Unai Ayala; Elisabete Aramendi; Trygve Eftestøl
Journal:  Biomed Res Int       Date:  2014-01-09       Impact factor: 3.411

7.  A reliable method for rhythm analysis during cardiopulmonary resuscitation.

Authors:  U Ayala; U Irusta; J Ruiz; T Eftestøl; J Kramer-Johansen; F Alonso-Atienza; E Alonso; D González-Otero
Journal:  Biomed Res Int       Date:  2014-05-07       Impact factor: 3.411

  7 in total

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