The purpose of this study was to systematically review and evaluate the quality, functionality, and adherence to self-management behaviours of existing mobile apps for AF.
The Heart for Heart app reviewed in our study is part of a larger crowdsourcing effort in which PPG waveform data are compiled and visualized so that population-level patterns can be identified.
Heart for Heart app was rated as one of the top in terms of functionality and aesthetics.
Read full article here: https://www.sciencedirect.com/science/article/pii/S2666501820300076
"Our innovative online campaign proved to be effective and feasible to collect a large amount of worldwide research data. This study showed that the instructions and ease of use of the smartphone app were adequate to collect high quality data in 81% of users performing unsupervised measurements. Data quality was unrelated to age or BMI."
Optimizing a Photophletysmography Algorhythm for Atrial Fibrillation Detection Using Crowdsourcing Research Data