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Can functional cardiac age be predicted from the ECG in a normal healthy population
- In Proceedings of the Computing in Cardiology, Krakow
, 2012
"... Abstract We hypothesized that in a normal healthy population changes in several ECG parameters together might reliably characterize the functional age of the heart. Data from 377 healthy subjects (209 men, 168 women, aged Introduction It is known that changes in parameters such as the amplitude ..."
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Abstract We hypothesized that in a normal healthy population changes in several ECG parameters together might reliably characterize the functional age of the heart. Data from 377 healthy subjects (209 men, 168 women, aged Introduction It is known that changes in parameters such as the amplitude, duration and electrical axis of different ECG waves or variability of ECG intervals such as HRV and QTV reflect the effects of age and gender on the resting ECG Methods Participants Our study population was recruited at four sites: in Slovenia from both rural areas (312) and urban Ljubljana (222); from Johnson Space Center (Houston, TX) (245); and from healthy pediatric controls at Lund University Hospital (138). The initial population of 917 subjects was ultimately reduced to 377 subjects (209 men, 168 women, ranging from 4 to 75 years of age) after exclusion criteria that included hypertension, diabetes, smoking, positive cardiac history, overt ECG abnormality, regular rigorous endurance exercise training and/or extreme BMI. All participants gave original informed consent, and the Institutional Review Boards of one or more of the institutions approved the studies. Data collection In all subjects, high-fidelity (1000 samples/sec/ channel) ECG systems from Cardiax/CardioSoft (Budapest, Hungary/Houston, TX) [6] were utilized to acquire resting 5-minute ECG recordings in the supine position to get a minimum of 256 waveforms acceptable for both signal averaging and variability analyses which were evaluated via custom software programs to calculate up to 180 different conventional and advanced ECG parameters. Besides, body height and body weight were measured to calculate body mass index (BMI). Analysis of ECG signals A. Conventional ECG parameters. Signals from the conventional ECG were analyzed automatically in software with respect to the RR, PR, P-wave, QRS and uncorrected and corrected QT and JT intervals; P, QRS and T-wave amplitudes; frontal plane QRS and T-wave axes; and ST segment levels.
High resolution ecg changes in survivors of out-of-hospital cardiac arrest during and after mild therapeutic hypothermia
- in Computing in Cardiology
, 2013
"... Abstract Our aims were to determine whether mild therapeutic hypothermia (MTH) is associated with ECG changes similar to those observed in accidental hypothermia We conclude that hypothermia significantly affects electrophysiological characteristics of heart muscle and suggest that recovery from MT ..."
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Abstract Our aims were to determine whether mild therapeutic hypothermia (MTH) is associated with ECG changes similar to those observed in accidental hypothermia We conclude that hypothermia significantly affects electrophysiological characteristics of heart muscle and suggest that recovery from MTH is associated with increased sympathetic drive. Introduction Sudden cardiac arrest (SCA) is one of the leading causes of death in developed countries, with an annual incidence ranging from 36 to 81 events per 100000 inhabitants. Post-anoxic encephalopathy is a common complication after an out-of-hospital cardiac arrest. The risk of neurological damage remains high even after being successfully resuscitated. The introduction of MTH (defined as core body temperature of 32-34°C) in 2002 has revolutionized treatment of comatose survivals after cardiac arrest, increasing survival and improving neurological outcome. Recent studies suggest that MTH might also reduce myocardial damage Accidental hypothermia has been shown to cause electrocardiographic changes such as increase in RR, PR and QT intervals, appearance of Osborn waves, conduction blocks and various arrhythmias. Although a few studies of standard ECG parameters in MTH have also shown similar changes Methods Patients Our study was approved by the Institutional Review Board at the University Medical Centre, Ljubljana, Slovenia, and included comatose patients, older than 16 years, after cardiac arrest treated with MTH at the University Medical Centre, Ljubljana. In all patients, core body temperature was measured by thermistor intravesically. ECG was recorded during MTH and after restoration of normal body temperature. Data collection High fidelity (1000 samples/sec/channel) ECG system from Cardiax/Cardiosoft (Budapest, Hungary/Houston, TX) [5] was utilized to acquire 5-minute ECG recordings in MTH and during normothermia to get a minimum of 256 beats acceptable for both signal averaging and variability analyses. Custom software programs were used to calculate standard and advanced ECG parameters in standard and derived orthogonal leads. Analysis of ECG signals The initial group of patients was assessed for presence of Osborn waves and type of heart rhythm. In compute- ISSN 2325-8861 Computing in Cardiology 2013; 40:595-598. 595
