IXICO's DLS (Deep Learning Sleep) algorithm uses a convolutional neural network (CNN) to predict sleep from wrist-worn actigraphy. Compared to traditional, minute-based scoring of activity, this novel AI approach allows to identify more subtle movement patterns from accelerometry by taking into consideration the full 3-axis, high-frequency data before and after the time period that is labelled. This provides the following measures:
The DLS algorithm has been developed on data acquired from subjects with different neurodegenerative diseases and is currently further developed and validated in several clinical studies.