Title :
A digital signal processor for Doppler radar sensing of vital signs
Author :
Lohman, B. ; Boric-Lubecke, O. ; Lubecke, V.M. ; Ong, P.W. ; Sondhi, M.M.
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Abstract :
A voltage waveform signal containing respiration and heartbeat signatures is low-pass filtered (0.7 Hz) for the respiration and band-pass filtered (1.0-3.0 Hz) for the heart signal. The autocorrelation function is used to calculate the rate per minute for each of these signals. To make the processor more robust, several signal processing techniques are applied. One of these techniques, a method commonly used on audio signals for formant removal, is called center clipping. Another technique is the use of a Hanning window. To reverse the distinct shape left by the Hanning window an "undo" window is applied. The processor is programmed in LabVIEW.
Keywords :
Doppler radar; biomedical telemetry; cardiology; medical signal processing; microwave measurement; patient monitoring; pneumodynamics; 0.7 Hz; 1 m; 1.0 to 3.0 Hz; 2.4 GHz; Doppler radar sensing; Hanning window; LabVIEW; autocorrelation function; band-pass filtered; center clipping; digital signal processor; directional antenna; heart signal; heartbeat signatures; low-pass filtered; remote monitoring; respiration signatures; thorax-related illnesses; undo window; vital signs; voltage waveform signal; Autocorrelation; Band pass filters; Digital signal processors; Doppler radar; Heart beat; Low pass filters; Robustness; Shape; Signal processing; Voltage;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1019547