ACC/AHA Clinical Competence Statement on Electrocardiography and Ambulatory Electrocardiography

Kadish, Alan H.; Buxton, Alfred E.; Kennedy, Harold L.; Knight, Bradley P.; Mason, Jay W.; Schuger, Claudio; Winters, William L.; Boone, Alan W.; Elnicki, Michael; Hirshfeld, John W.; Lorell, Beverly H.; Rodgers, George P.; Tracy, Cynthia M.; Weitz, Howard H.

doi:10.1161/circ.104.25.3169

Cited by 144 publications

(27 citation statements)

References 43 publications

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“…More commonly, ECGs are interpreted by multiple medical personnel or the diagnosis may by means of an alternative investigation. This worrying pattern of sub-standard ECG interpretation led to the publication of American College of Cardiology guidelines on requisite knowledge and minimum necessary teaching to attain clinical competency [11] and standardized approach to ECG interpretation [12]. The former of these guidelines recommends that in order to be deemed clinically competent in ECG interpretation, a reader should either be a qualified cardiologist, have interpreted 500 ECGs under the supervision of an expert electrocardiographer or achieve accreditation by way of passing a standardized ECG exam [11].…”

Section: Introductionmentioning

confidence: 99%

Teaching the interpretation of electrocardiograms: Which method is best?

Fent

Gosai

Purva

2015

Journal of Electrocardiology

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Section: Introductionmentioning

confidence: 99%

Teaching the interpretation of electrocardiograms: Which method is best?

Fent

Gosai

Purva

2015

Journal of Electrocardiology

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“…Over the past years, a good many of methodologies and algorithms have been proposed to interpret ECG recordings in stead of those cardiologists. Both clinical as well as numerical experiments have confirmed the competency of computerized ECG interpretation [4].…”

Section: Introductionmentioning

confidence: 68%

An Application of Morphological Feature Extraction and Support Vector Machines in Computerized ECG Interpretation

Lei

Ming

et al. 2007

2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)

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This paper presents a novel approach that recognizing heart rhythm with the combination of adaptive Hermite decomposition and support vector machines (SVM) classification. The novelty lies in two aspects. In the first aspect, for the goal of feature extraction, the orthogonal transformation based on Hermite basis functions is proposed to characterize the morphological features of ECG data. In the other aspect, as to the multi-class electrocardiogram (ECG) classification, the one-against-all strategy is applied to a cluster of binary SVMs. Finally, in terms of numerical experiments, the major types of heart rhythms in the MIT-BIH arrhythmia database are taken into account. The results confirm its reliability and accuracy of the proposed ECG interpreter.

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“…Among all the relevant medical information, the past and current ECG records are the most important references for clinicians to determine whether the patient is at an immediate risk of dying [29,30]. In almost all the hospitals in Taiwan and in many other countries, the medical staff cannot make additional notes or edit 12-lead ECG files generated from ECG devices.…”

Section: Resultsmentioning

confidence: 99%

A cloud computing based 12-lead ECG telemedicine service

Hsieh

Hsu

2012

BMC Med Inform Decis Mak

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BackgroundDue to the great variability of 12-lead ECG instruments and medical specialists’ interpretation skills, it remains a challenge to deliver rapid and accurate 12-lead ECG reports with senior cardiologists’ decision making support in emergency telecardiology.MethodsWe create a new cloud and pervasive computing based 12-lead Electrocardiography (ECG) service to realize ubiquitous 12-lead ECG tele-diagnosis.ResultsThis developed service enables ECG to be transmitted and interpreted via mobile phones. That is, tele-consultation can take place while the patient is on the ambulance, between the onsite clinicians and the off-site senior cardiologists, or among hospitals. Most importantly, this developed service is convenient, efficient, and inexpensive.ConclusionsThis cloud computing based ECG tele-consultation service expands the traditional 12-lead ECG applications onto the collaboration of clinicians at different locations or among hospitals. In short, this service can greatly improve medical service quality and efficiency, especially for patients in rural areas. This service has been evaluated and proved to be useful by cardiologists in Taiwan.

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ACC/AHA Clinical Competence Statement on Electrocardiography and Ambulatory Electrocardiography

Cited by 144 publications

References 43 publications

Teaching the interpretation of electrocardiograms: Which method is best?

Teaching the interpretation of electrocardiograms: Which method is best?

An Application of Morphological Feature Extraction and Support Vector Machines in Computerized ECG Interpretation

A cloud computing based 12-lead ECG telemedicine service

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