Estimating Biological Age from Physical Activity using Deep Learning with 3D CNN
Syed Ashiqur Rahman, Donald Adjeroh · 2019
We introduce an approach to predict biological age based on a 3-dimensional deep convolutional neural network (3D-CNN), using human physical activity as recorded by a wearable device. Results on mortality hazard analysis using both the Cox proportional hazard model and Kaplan-Meier curves each show that the proposed method results in an improved performance. This work has significant implications in combining wearable sensors and deep learning techniques for improved health monitoring, for instance, in a mobile health environment.