Automatic classifier based on heart rate variability to identify fallers among hypertensive subjects
Editorial: "The lack of specificity in fall risk assessment, a limited effectiveness in fall prediction and the inability to reliably monitor spontaneous falls in real life conditions with un-obstructive technological solutions remain key unsolved problems."
Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults
Unified framework for triaxial accelerometer-based fall event detection and classification using cumulants and hierarchical decision tree classifier