In this paper, we proposed a non-invasive cushion based optical fiber sensor (OFS) with a deep learning model. The study examines various signal processing methods, including Wavelet. Abstract: In order to achieve portable heart rate signal acquisition and analysis, and to benchmark the precision of electrocardiogram testing, a heart rate demodulation system based on fiber optic sensing is proposed. The heart monitoring system collects BCG. The aim of this work is to present a method for accurately estimating heart and respiration rates under different actual conditions based on a mattress which was integrated with an optical fiber sensor. During the estimation, a ballistocardiogram (BCG) signal, which was obtained from the optical. At present, ballistocardiograph (BCG) offers an unobtrusive solution for medical institutions, yet there is no gold standard to measure the actual quality of the collected BCG signals.
[PDF Version]