Lenn is a motivated all-round developer with a passion for trying and learning new technologies. He likes getting his hands dirty with front-end development but is also not afraid to lend a hand in a back-end project. Due to his education in industrial engineering, Lenn has a wide background in programming. As an engineer he also has a great capacity for analytical thinking and problem solving. These skills are invaluable in larger software projects.
Master's
Industrial Sciences
Bachelor's
Industrial Sciences
This paper describes the development and validation of a smartphone application designed to distinguish between normal heart rhythms and premature ectopic beats. Using Photoplethysmography (PPG)—measuring blood flow changes via the phone's camera—researchers tested an algorithm on 28 volunteers in a controlled hospital setting. By comparing the smartphone data to a reference ECG, the study proved that the app could accurately identify irregularities and differentiate premature beats based on timing intervals. Ultimately, the research confirms that smartphones are capable of detecting specific cardiac arrhythmias beyond simple heart rate monitoring.