References

1. https://www.aihw.gov.au/reports/heart-stroke-vascular-diseases/atrial-fibrillation-in-australia/contents/how-many-australians-have-atrial-fibrillation

2. https://www.statista.com/statistics/608088/australia-agedistribution/#:~
:text=Population%20distribution%20Australia%202022%20by%20age&text
=In%20June%202022%2C%20it%20was,older%20as%20of%20June%202022 

3. Australian Institute of Health and Welfare https://aihw.gov.au/reports/heart-stroke-vascular-diseases/atrial-fibrillation-in-australia/contents/stroke-and-atrial-fibrillation

4. Hayashi M, Shimizu W, Albert C M. The Spectrum of Epidemiology Underlying Sudden Cardiac Death. Circ Res. 2015 Jun 5;116(12):1887-906 

5. Glaucylara Geovanini, Geralso. Lorenzi -Filho Cardianc Rhythms disorders in obstructive sleep apnea Journal of Thoracic Disease Vol 10, Supplement 34 (December 27, 2018)

6. Larissa Fabritz, Julius Obergassel Artificial intelligence for early atrial fibrillation detection. The Lancet October 08, 2022 DOI:https://doi.org/10.1016/S0140-6736(22)01802-5

7.  Fredrikson T, Gudmundsdottir K K , Frykman V et al. Intermittent vs continuous electrocardiogram event recording for detection of atrial fibrillation-Compliance and ease of use in an ambulatory elderly population. Clinical Cardiology. 2020 Apr; 43(4):355-362. https://doi.org/10.1002/clc.23323 

8. Mintu P. Turakhia, MD, MAS,, Donald D. Hoang, BA, Peter Zimetbaum, MD. Diagnostic Utility of a Novel Leadless Arrhythmia Monitoring Device. AM J Cardiol. 2013 Aug 15;112(4):520-4. 6. Internal Data on file

9. Fiorina L, Maupain C, Cardella C et al Evaluation of an Ambulatory ECG Analysis Platform Using Deep Neural Networks in Routine Clinical Practice. Journal of American Heart Association 2022; 11 (18):0261956 

10. Internal Data on file