Rosa S Wong, Keith Ts Tung, Hiu Tung Wong, Frederick Kw Ho, Hing Sang Wong, King-Wa Fu, Ting Chuen Pong, Ko Ling Chan, Chun Bong Chow, Patrick Ip
A Mobile Game (Safe City) Designed to Promote Children's Safety Knowledge and Behaviors: Protocol for a Randomized Controlled Trial
JMIR research protocols
researchers developed machine learningbased ecg diagnostic algorithms match even surpass cardiologist level performance however cannot used realworld older generation ecg machines permit installation new algorithms develop smartphone application automatically extract ecg waveforms photos convert voltagetime series downstream analysis variety diagnostic algorithms built researchers novel approach using objective detection image segmentation models automatically extract ecg waveforms photos taken clinicians devised modular machine learning models developed sequentially perform waveform identification gridline removal scale calibration extracted data analysed using machine learningbased cardiac rhythm classifier waveforms 40 516 scanned 444 photographed ecgs automatically extracted 12 828 13 258 968 scanned 5399 5743 940 photographed waveforms correctly cropped labelled 11 604 12 735 911 scanned 5062 5752 880 photographed waveforms achieved successful voltagetime signal extraction automatic gridline background noise removal proofofconcept demonstration atrial fibrillation diagnostic algorithm achieved 913 sensitivity 942 specificity 956 positive predictive value 886 negative predictive value 934 f1 score using photos ecgs input object detection image segmentation models allow automatic extraction ecg signals photos downstream diagnostics novel pipeline circumvents need costly ecg hardware upgrades thereby paving way largescale implementation machine learningbased diagnostic algorithms