Abstract
In radar-based vital sign monitoring, it's a challenge to keep the trade-off between high accuracy and real-time processing capability. To offer an effective approach towards this challenge and achieve noncontact detection of human heartbeat and respiratory rate, this paper proposes a joint time-frequency detection algorithm. This algorithm bases on adaptive double sliding-time window (ADSW) technology using both fast Fourier transform (FFT) and time domain searching-peak (TSP) methods to perform preliminary detection. Then adaptive weighting is utilized to adjust the lengths of next data sliding windows dynamically and obtain the final output from previous detection results. In the meanwhile, the chosen weighting factors are determined by signal characteristics such as the short average energy (SAE) and zero-crossing rate (SAZC), which can improve the real-time capability as well as maintain good accuracy. Finally an experiment was carried out and the proposed algorithm achieved good results.
Published Version
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