A new method to detect ventricular fibrillation from CPR artifact-corrupted ECG based on the ECG alone

Zhang, Guang; Wu, Taihu; Wan, Zhang; Song, Zhenxing; Yu, Ming; Wang, Dan; Li, Liangzhe; Chen, Feng

doi:10.1016/j.bspc.2016.05.010

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…Fourteen full-text papers were identified and reviewed, [219][220][221][222][223][224][225][226][227][228][229][230][231][232] but none assessed any critical or important patient-related outcomes. Most of these studies use previously collected electrocardiographs, electric impedance, and/or accelerometer signals recorded during CPR for cardiac arrest to evaluate the ability of various algorithms [220][221][222][223][224][225][226][227][228][229] or machine learning 230 to detect shockable rhythms during chest compressions. Although these studies did not evaluate the effect of the artifact-filtering algorithms on any critical or important outcomes, they provided insights into the feasibility and potential benefits of this technology.…”

Section: Consensus On Sciencementioning

confidence: 99%

Adult Basic Life Support: 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations

Olasveengen¹,

Mancini²,

Perkins³

et al. 2020

Circulation

175

177

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This 2020 International Consensus on Cardiopulmonary Resuscitation (CPR) and Emergency Cardiovascular Care Science With Treatment Recommendations on basic life support summarizes evidence evaluations performed for 22 topics that were prioritized by the Basic Life Support Task Force of the International Liaison Committee on Resuscitation. The evidence reviews include 16 systematic reviews, 5 scoping reviews, and 1 evidence update. Per agreement within the International Liaison Committee on Resuscitation, new or revised treatment recommendations were only made after a systematic review. Systematic reviews were performed for the following topics: dispatch diagnosis of cardiac arrest, use of a firm surface for CPR, sequence for starting CPR (compressions-airway-breaths versus airway-breaths-compressions), CPR before calling for help, duration of CPR cycles, hand position during compressions, rhythm check timing, feedback for CPR quality, alternative techniques, public access automated external defibrillator programs, analysis of rhythm during chest compressions, CPR before defibrillation, removal of foreign-body airway obstruction, resuscitation care for suspected opioid-associated emergencies, drowning, and harm from CPR to victims not in cardiac arrest. The topics that resulted in the most extensive task force discussions included CPR during transport, CPR before calling for help, resuscitation care for suspected opioid-associated emergencies, feedback for CPR quality, and analysis of rhythm during chest compressions. After discussion of the scoping reviews and the evidence update, the task force prioritized several topics for new systematic reviews.

show abstract

Section: Consensus On Sciencementioning

confidence: 99%

Adult Basic Life Support: 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations

Olasveengen¹,

Mancini²,

Perkins³

et al. 2020

Circulation

175

177

View full text Add to dashboard Cite

show abstract

“…Fourteen full-text papers were identified and reviewed, 219 but none assessed any critical or important patient-related outcomes. Most of these studies use previously collected electrocardiographs, electric impedance, and/or accelerometer signals recorded during CPR for cardiac arrest to evaluate the ability of various algorithms 220 , 221 , 222 , 223 , 224 , 225 , 226 , 227 , 228 , 229 or machine learning 230 to detect shockable rhythms during chest compressions. Although these studies did not evaluate the effect of the artifact-filtering algorithms on any critical or important outcomes, they provided insights into the feasibility and potential benefits of this technology.…”

Section: Defibrillationmentioning

confidence: 99%

Adult Basic Life Support

Berg¹,

Soar²,

Andersen³

et al. 2020

Resuscitation

100

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This 2020 International Consensus on Cardiopulmonary Resuscitation (CPR) and Emergency Cardiovascular Care Science With Treatment Recommendations on basic life support summarizes evidence evaluations performed for 20 topics that were prioritized by the Basic Life Support Task Force of the International Liaison Committee on Resuscitation. The evidence reviews include 16 systematic reviews, 3 scoping reviews, and 1 evidence update. Per agreement within the International Liaison Committee on Resuscitation, new or revised treatment recommendations were only made after a systematic review. Systematic reviews were performed for the following topics: dispatch diagnosis of cardiac arrest, use of a firm surface for CPR, sequence for starting CPR (compressions-airway-breaths versus airway-breaths-compressions), CPR before calling for help, duration of CPR cycles, hand position during compressions, rhythm check timing, feedback for CPR quality, alternative techniques, public access automated external defibrillator programs, analysis of rhythm during chest compressions, CPR before defibrillation, removal of foreign-body airway obstruction, resuscitation care for suspected opioid-associated emergencies, drowning, and harm from CPR to victims not in cardiac arrest. The topics that resulted in the most extensive task force discussions included CPR during transport, CPR before calling for help, resuscitation care for suspected opioid-associated emergencies, feedback for CPR quality, and analysis of rhythm during chest compressions. After discussion of the scoping reviews and the evidence update, the task force prioritized several topics for new systematic reviews.

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“…The electrocardiogram (ECG) is usually used to obtain measurements for different cardiac parameters [5], [6]. It is usually used in a procedure that facilitates the recording of the electrical activity of the heart muscle during a specific time interval [7], [8]. In this procedure, several probes are placed in certain positions to define places in a bare chest [9], [10].…”

Section: Introductionmentioning

confidence: 99%

ECG Waveform Classification Based on P-QRS-T Wave Recognition

Al-Ani

2018

UHD J SCI TECH

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A B S T R A C TElectrocardiogram (ECG) is a periodic signal reflects the activity of the heart. ECG waveform is an important issue to define the heart function, so it is helpful to recognize the type of heart diseases. ECG graph generates a lot of information that is converted into an electrical signal with standard values of amplitude and duration. The main problem raised in this measurement is the mixing between normal and abnormal, in addition, sometimes, there are overlapping between the P-QRS-T waveform. This research aims to offer an efficient approach to measure all parts of P-QRS-T waveform in order to give a correct decision of heart functionality. The implemented approach including many steps as follows: Preprocessing, baseline process, feature extraction, and diagnosis. The obtained result indicated an adequate recognition rate to verify the heart functionality. The proposed approach depends mainly on the classifier process that based mainly on the extracted ECG waveform features that achieved from exact baseline detection.

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A new method to detect ventricular fibrillation from CPR artifact-corrupted ECG based on the ECG alone

Cited by 4 publications

References 31 publications

Adult Basic Life Support: 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations

Adult Basic Life Support: 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations

Adult Basic Life Support

ECG Waveform Classification Based on P-QRS-T Wave Recognition

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