Signal Processing Algorithm for Vital Sign Extraction of Trapped Victims
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 5, May 2015

Signal Processing Algorithm for Vital Sign Extraction of Trapped Victims

Utkarsh S. Verulkar, Dr. Abhay N. Gaikwad

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.

Keywords: SFCW radar, FFT, Vital sign, Range profile

Edition: Volume 4 Issue 5, May 2015

Pages: 2316 - 2319

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How to Cite this Article?

Utkarsh S. Verulkar, Dr. Abhay N. Gaikwad, "Signal Processing Algorithm for Vital Sign Extraction of Trapped Victims", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB154681, Volume 4 Issue 5, May 2015, 2316 - 2319

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