Continuous Circadian Phase Estimation Using Adaptive Notch Filter
For researchers studying circadian rhythms, this provides a real-time phase estimation method, though it is an incremental improvement over existing filtering approaches.
This paper presents an adaptive notch filter for online estimation of circadian phase from actigraphy data, applied to fruit flies. The method enables continuous phase tracking without requiring multi-day regression.
Actigraphy has been widely used for the analysis of circadian rhythm. Current practice applies regression analysis to data from multiple days to estimate the circadian phase. This paper presents a filtering method for online processing of biometric data to estimate the circadian phase. We apply the proposed method on actigraphy data of fruit flies (Drosophila melanogaster).