Atrial fibrillation is the most common heart rhythm disturbance in the United States, affecting over 2 million individuals. More than 150,000 new cases are diagnosed each year and, with the incidence of atrial fibrillation increasing with age and a growing ageing population, numbers of patients are expected to increase 150% by 2050. Atrial fibrillation is characterized by disorganized electrical activity in the heart, leading to faster and less efficient ventricular contraction. As atrial fibrillation develops people may have a wide range of symptoms, from palpitations, shortness of breath, and chest pain, to no symptoms at all. While atrial fibrillation is not fatal, the risk of stroke is increased 5-7 fold for patients due to the potential for blood clot formation in the heart from ineffective blood flow. The accurate monitoring of heart rhythm and symptoms is needed to better prescribe treatment to reduce complications associated with atrial fibrillation.
Mobile application to monitor atrial fibrillation symptoms
The use of a wearable sensor to constantly monitor atrial fibrillation symptoms can allow delivery of individualized interventions as well as predict symptoms based on machine learning algorithms. Sensor data is sent to a mobile application, allowing for instant analysis by physicians. This mobile ability has the potential to save lives, reduce healthcare costs, and allow patients and physicians to make informed decisions about atrial fibrillation management based on constant monitoring.
- Mobile healthcare application
- Instant access to symptoms by healthcare professionals
- Allows for constant, long-term monitoring