基于床垫的运动睡眠估算：Cole-Kripke算法适应与智能床垫

Multimodal consumer wearables such as Garmin smartwatches combine movement with physiological signals to estimate sleep, whereas bed-based sensing largely relies on movement alone. How far movement alone, sensed from the bed, can go in estimating sleep is unclear. We adapted the Cole–Kripke algorithm to the movement signal of a WhizPad, a smart mattress with a 30-zone pressure array, using the original coefficients and one device-specific scale factor. Estimates were compared with those of a Garmin smartwatch, a proprietary comparator rather than a reference standard, across 28 paired nights i