Objectives: The role of screening cardiac arrhythmias provides continuum of care to rediscover the causes and prevention strategies. This study was taken up to screen women working in the information and technology sector for cardiac rhythm disorders using continuous ambulatory cardiac monitoring and asses various risk factors along with work-related stress. Materials and Methods: A cross-sectional study was taken up at the workplace to screen women for cardiac rhythm disorders using wireless continuous ambulatory cardiac monitoring. Various risk factors and work-related stress were assessed using a standardized questionnaire. Differences in ECG parameters such as heart rate, heart rate variability (HRV), and frequency corrected QT (QTc) were compared on working and non-working days. Results: A total of 109 women were screened to find a proportion of 4.58% having cardiac arrhythmias. We found two cases of second-degree AV block (type 1), two cases of atrial tachycardia in the age group of 21–30 years, and one case of sinus pauses. Risk factors such as alcohol usage were statistically associated with cardiac arrhythmias. Others included a sedentary lifestyle, being underweight, a lesser number of sleep hours, no physical activity, work-related stress, and the presence of past-COVID-19 infection, but these were not statistically significant. There were significant changes in heart rate, HRV, and QTc prolongation on working day compared to non-working days. Among the domains of work-related stress, the influence at work and perceived stress due to individual demands and commitments contributed the highest mean score. Moreover, those with higher work-related stress scores were at 3.66 times the increased risk of QTc prolongation. Conclusion: The present study implies the combination of the need for the screening tool in younger age groups and lifestyle factors with more elucidation of work-related stress on autonomic cardiac function.

Corona virus disease19 has spread over the world, affecting millions of people. It has put enormous strain on the global healthcare system. Due to frequent mutations, the pandemic is spreading rapidly. The world requires a technology that will facilitate the effective diagnosis, treatment, and discharge of COVID19 patients. A model like remote patient monitoring [RPM] makes it easier to handle Covid 19 patients. RPM helps in remotely diagnosis, treatment, as well as allowing for prompt interventions. The RPM makes use of mobile technology and IoT platforms to take clinical interventions. In this study out of 151 covid19 positive subjects 91% of them were shifted to home monitoring within 5 days of MVM monitoring with few readmissions. The study investigated the effectiveness of RPM in the Indian healthcare system, as well as the performance and usability of the Vigocare mobile application by patients and doctors.

The heart rhythm abnormality arrhythmia is commonly seen in older populations. However, arrhythmia under age 30 years is also seen in recent times. The reason for the incidence of arrhythmias is varied among the individuals based on the lifestyle changes, quality of life and genetic hereditary etc. Arrhythmia is less studied clinical condition compared to other CAD abnormalities. The detection of arrhythmia has become crucial due to its importance in management of cardiac abnormalities. The holter monitoring is the gold standard method for the detection of arrhythmia through Electrocardiogram (ECG) technique. However, the instrument is not user friendly with multiple wire tangles which results in much noise and less analysable data. The technology needs to be simplified for better screening and to take necessary actionable insights. Vigocare SmartHeart is the new generation portable, two lead biosensor solution by which advanced AV block and White Parkinson’s Syndrome was identified in the patients aged less than 30 years old. The Vigo SmartHeart biosensor solution is functioning with the combination of mobile technology. IoT based cloud for storage and AI for analysis serves utmost sensitivity for the clinical interventions.