ECG and HRV Testing and Analysis with Exercise Prescription
The ECG is the most important test for interpretation of the cardiac rhythm, conduction system abnormalities, and the detection of myocardial ischemia. It is effective in the evaluation of other types of cardiac abnormalities including valvular heart disease, cardiomyopathy, pericarditis, and hypertensive disease something the longer term Holter analysis can derive that we employ. We only use ECG sub-maximal stress tests to ensure exercise prescription treatment is safe where requested during rehabilitation programs that we specialise in.
Monitored exercise can be lifesaving
1.
Exercise Screening during Monitored Exercise
ACHTIHEART and MOVESENSE ECG with HRV Analysis
We utilise the most advanced ECG screening from Cambridge in England (ACHTIHEART) and also Finland (MOVESENSE) to quickly and reliably take ECG measurements to check for common cardiac related abnormalities. For example the Actiheart provides full waveform (allowing determination of heart timing dynamics (QRST complex), raw data recording of ECG at up to 1024Hz and tri-axial accelerometry at up to 100Hz allowing long-term recording for up to 14 days. The Actiheart has become a benchmark for research and has been cited in more than 700 peer-reviewed scientific publications (see selection below). Typically we use these devices during exercise for monitoring purposes.
If abnormalities are detected, we on patient approval, refer the record immediately back to a GP who can arrange a further specialist consultation.
Low impact Sub-max 12- lead Stress Testing
We also carry out low impact sub-maximal stress testing using the latest COSMED and Norav equipment - see CPET testing here
2.
5-12 Lead Holter ECG Analysis 1 hr to 7 days
We analyse your ECG in the following processes.
Manually we inspect the traces for obvious irregularities.
We are able to use multi-day recording (e.g. 14 days) without data reduction or compression deficiencies.
Rhythm analysis using parameters that can be configured specifically for multi-day analysis for thorough examination.
Intelligent pacemaker analysis and differentiation between atrial and ventricular pacing spikes
Risk management assessment of ischaemia, QRS timings and detection of atrial arrhythmia.
A detailed report of all discovered events over the specified period is produced along with relevant trace areas.
We pass on this report + raw data file to other health professionals as requested.
3.
Further Assessment with 98.8 % Accuracy
If patients wish for extended analysis and require further assessment to provide other health professionals we suggest utilisation of CARDIOMATICS the World’s 1st MDR Certification for augmented ECG analysis using the power of AI with a 98.9% precision. The software is able to also analyse long segments of data that would traditionally be impossible for clinicians to manage (kilometres of ECG trace). It enables atrioventricular (AV) block detection with high accuracy that include 2nd and 3rd degrees.
Lumikari TJ, Putaala J, Kerola A, et al. Continuous 4-week ECG monitoring with adhesive electrodes reveals AF in patients with recent embolic stroke of undetermined source.
Ann Noninvasive Electrocardiol. 2019;e12649.Hostettler R et al. Motion Artifact Reduction in AmbulatoryElectrocardiography Using Inertial Measurement Units and Kalman Filtering.
In Proceedings of the 21st International Conference on Information Fusion, FUSION 2018.Hartikainen S et al. Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation.
The American Journal of Cardiology, 2019.
Associated Studies Using ECG Devices and Software
Resting heart rate is a population-level biomarker of cardiorespiratory fitness: The Fenland Study
Few large studies have evaluated the relationship between resting heart rate (RHR) and cardiorespiratory fitness. Here we examine cross-sectional and longitudinal relationships between RHR and fitness, explore factors that influence these relationships, and demonstrate the utility of RHR for remote population monitoring. Methods In cross-sectional analyses (The UK Fenland Study: 5,722 women, 5,143 men, […]
Related Product: Actiheart
Publication Date: May 11, 2023
Cardiovascular risk and kidney function profiling using conventional and novel biomarkers in young adults: the African-PREDICT study
Background Low- and middle-income countries experience an increasing burden of chronic kidney disease. Cardiovascular risk factors, including advancing age, may contribute to this phenomenon. We (i) profiled cardiovascular risk factors and different biomarkers of subclinical kidney function and (ii) investigated the relationship between these variables. Methods: We cross-sectionally analysed 956 apparently healthy adults between 20 […]
Related Product: Actiheart
Publication Date: April 13, 2023
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments
Cardiorespiratory fitness is an established predictor of metabolic disease and mortality. Fitness is directly measured as maximal oxygen consumption (VO2max), or indirectly assessed using heart rate responses to standard exercise tests. However, such testing is costly and burdensome because it requires specialised equipment such as treadmills and oxygen masks, limiting its utility. Modern wearables capture […]
Related Product: Actiheart
Publication Date: December 2, 2022