Seismocardiography

This study investigates the reliability of self-applied smartphone mechanocardiography (sMCG) for the detection of atrial fibrillation (AFib). The results show that sMCG can accurately differentiate AFib from sinus rhythm in both physician- and self-applied recording scenarios.

This paper presents a comprehensive time-frequency pattern analysis approach for automated detection of AFib from smartphone-derived seismocardiography (SCG) and gyrocardiography (GCG) signals. The experimental results showed high accuracy, sensitivity, and specificity for both cross-validation and cross-database tests.