ECG is measured using a 12-lead ECG (Cardiosoft V6.73 GE Healthcare, Buckinghamshire, UK). The ECGs are stored electronically.
Cardiosoft v6
Manufactured by GE Healthcare
Sourced in United Kingdom, United States
CardioSoft v6 is a diagnostic software solution developed by GE Healthcare for the analysis and reporting of electrocardiogram (ECG) data. The software provides healthcare professionals with tools to capture, review, and interpret ECG measurements from patients.
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Lab products found in correlation
6 protocols using cardiosoft v6
1
12-lead ECG Storage and Measurement
2
Resting 12-Lead ECG and Heart Rate Variability
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Five‐minute, 12‐lead supine resting ECG were recorded from all 82 participants (100 Hz; GE Cardiosoft v6.73, Boston, MA, USA) in a darkened, quiet room. Recordings began after the participants were resting supine for at least 10 minutes and when the signal was observed to be stable. Non paced (free) breathing was allowed to maximize comfort. Data was exported to Kubios Premium HRV software (version 3.5.0, Kuopio, Finland) for processing and analysis (Tarvainen et al., 2014 (link)). Ectopic beats were identified and corrected using the beat classification algorithm within the software that replaces the corrupted RR interval times with interpolated values (Lipponen & Tarvainen, 2019 (link)). The complete list of HRV variables of interest includes those from time‐domain, frequency‐domain, and nonlinear analyses (Table 1 ). The HRV spectrum was estimated in the software using fast Fourier transform‐based Welch's periodogram method (very low frequency = 0 to 0.04 Hz; low frequency = 0.04–0.15 Hz; high frequency = 0.15 to 0.40 Hz). For details on these methods and metrics, refer to the software website (https://www.kubios.com/hrv‐analysis‐methods/ ) (Tarvainen et al., 2014 (link)).
3
Measurement of Resting Heart Rate
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Resting HR was measured by an oscillometric technique (using OMRON HEM model 705IT, OMRON Medizintechnik, Germany) under standardized conditions. Specifically, measurements were performed in a quiet environment in the sitting position with uncrossed legs and open eyes after 5, 8, and 11 min of rest while remaining quiet. The mean of the 2nd and 3rd measurements was used as the resting HR. In cases of atrial fibrillation (AF), results were compared with those determined automatically via a 12-lead resting ECG (GE Healthcare, CardioSoft v6). ECG-based diagnosis of AF was made by two cardiologists. We observed a close correlation in the total sample (r = 0.79) and in cases of AF (r = 0.76) between the two methods (Online Resource 1).
4
Resting 12-lead ECG Interval Analysis
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Resting 12-lead ECGs and interval measurements were assessed using the Cardiosoft v6 program from GE Healthcare. The PWD was measured as the duration from P-Onset to P-Offset (https://biobank.ndph.ox.ac.uk/showcase/ukb/docs/CardiosoftFormatECG.pdf ).
5
Atrial Fibrillation Identification Protocol
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Prevalent and incident atrial fibrillation was defined as either self-reported previous physician diagnosis of atrial fibrillation and/or diagnosis of atrial fibrillation on the study electrocardiogram during the baseline and follow-up examinations at the study center. Cardiac rhythm analysis was performed automatically (GE Healthcare, CardioSoft v6) and confirmed by at least two cardiologists. Electrocardiogram-based diagnosis of atrial fibrillation was defined as irregular R peak intervals and an absence of P waves. Further methodological details have been described elsewhere (16 (link)).
6
Automated Atrial Fibrillation Detection
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We defined AF as either previous diagnosis of AF and/or documentation of AF on the study electrocardiogram (ECG). History of AF was self-reported. Cardiac rhythm analysis was performed automatically (GE Healthcare, CardioSoft v6) and confirmed by at least two cardiologists. ECG-based diagnosis of AF was defined as absolutely irregular R peak intervals and an absence of P waves. Further methodological details have been described elsewhere [16] .
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