AAMI TIR23:1999(R2019)
Current
The latest, up-to-date edition.
SIGNAL AVERAGING
Hardcopy , PDF
English
19-09-2019
Committee representation
1 Scope
2 Definitions
3 State of the art of current SAECG device
design
3.1 Introduction
3.2 Architecture
3.3 Comparative table of specifications
3.4 Summary of beat alignment and measurement methods
4 Selection and alignment of normal sinus rhythm beats
for ensemble averaging
4.1 Overview
4.2 Selecting a normal sinus rhythm beat as a "template"
4.3 Beat alignment techniques
4.4 Rejecting nonsinus rhythm beats
5 Ensemble averaging
5.1 Overview
5.2 Endpoint of signal averaging: quality control
5.3 Rejection of adversely noisy beats
6 SAECG analysis: digital filtering, lead combination,
and measurements
6.1 Overview
6.2 Digital filtering schemes
6.3 Butterworth IIR filter, applied in a bidirectional
mode
6.4 Spectral window filter
6.5 FIR filter
6.6 Lead combination: vector magnitude waveform
6.7 SAECG measurements of late potentials
7 Clinical applications of SAECG
7.1 SAECG methodology
7.2 Clinical application of the SAECG
7.2.1 Predischarge risk stratification after acute
MI
7.2.2 Using the SAECG in combination with other
noninvasive test results to predict serious
ventricular arrhythmias after MI
7.2.3 Clinical limitations of the SAECG after MI
7.2.4 Interaction of invasive risk stratification
with programmed ventricular stimulation and
the SAECG
7.2.5 The clinical utility of the SAECG in the
thrombolytic era
7.2.6 Prognostic value of the SAECG in patients
with idiopathic dilated cardiomyopathy or
with advanced heart failure
7.2.7 Predicting electrically induced ventricular
tachycardia in the electrophysiology
laboratory of patients with unexplained syncope
7.2.8 Predicting inducibility of sustained VT in
patients with nonsustained VT
8 Emerging areas in signal-averaged ECG
8.1 Frequency domain analysis
8.2 P-wave signal averaging and analysis methods
8.3 Application of P-SAECG to measurement of
atrial activation
Annexes
A - Cited references
B - Bibliography
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