Signal Processing Algorithm for Vital Sign Extraction of Trapped Victims
نویسندگان
چکیده
Continuous wave radar plays an important role in search and rescue at disaster relief sites. Various Signal processing approaches are used to identify and to extract human vital signs behind the barrier. For detection of vital sign, experimental setup is developed in laboratory. The life detection algorithms proposed for stepped frequency continuous wave (SFCW) radar, are mainly based on Fast Fourier Transform (FFT) approach to extract human vital sign frequencies, such as heartbeat and respiration frequencies. Breathing signal is successfully detected in the results obtained for proposed methods.
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