A Non-Contact Sleep Analysis System Based on Transformer and Optical Fiber Sensor

This paper introduces a non-contact sleep monitoring system based on a fiber optic MachZehnder Interferometer (MZI). The proposed Noisy-label-learning Transformer algorithm is used to classify sleep stages, achieving an accuracy of 82.65%.