An observational study on detection of atrial and ventricular arrhythmias with smartphone-based ECG


  • Nitin Chandola Tech Lead, Research and Development, Sunfox Technologies Pvt. Ltd.
  • Yogender Singh Interventional Cardiologist, Max Super Specialty Hospital, Dehradun
  • Sahil Mahajan Associate Professor, Department of Cardiology, Shri Mahant Indresh Hospital, Dehradun
  • Salil Garg Professor and Head, Department of Cardiology, Shri Mahant Indresh Hospital, Dehradun
  • Basundhara Bansal Clinical Trial Manager, Sunfox Technologies Pvt. Ltd.


12 lead gold standard, American heart association, smartphone ECG, portable medical device, spandan ECG


The Interpretation provided by the smartphone-based Portable ECG devices is still questioned for its reliability and are a subject of study for the detection of arrhythmia and abnormal cases. The heart abnormality is the marker of the uncertain change in the electrical activity of the heart. Hence, its early and true detection can prevent sudden cardiac death and, in some cases even Myocardial Infarction. This study provides insights into such kind of smartphone-based ECG device in comparison to the 12-lead gold standard ECG. Arrhythmia Detection for both atrial and ventricular abnormalities is done by 12- lead ECG machines. Here, we have compared and observed the performance of one such kind of portable device with clinical interpretation and 12 lead gold standard generated computer interpretations. Among the 153 number of enrolled participants 110 subjects were taken into the consideration as per the study protocols. The trials were validated according to the specificity and sensitivity of the smartphone-based ECG which was evaluated at 97.2% specific and 98.63% sensitive in detecting the ventricular and atrial abnormalities in the subjects. Whereas, NPV and PPV were evaluated at 97.2 % and 98.6% respectively.


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How to Cite

Chandola, N., Singh, Y., Mahajan, S., Garg, S., & Bansal, B. (2022). An observational study on detection of atrial and ventricular arrhythmias with smartphone-based ECG. International Journal of Health Sciences, 6(S4), 5373–5384.



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