Application of empirical mode decomposition in removing fidgeting interference in doppler radar life signs monitoring devices.
Empirical Mode Decomposition has been shown effective in the analysis of non-stationary and non-linear signals. As an application in wireless life signs monitoring in this paper we use this method in conditioning the signals obtained from the Doppler device. Random physical movements, fidgeting, of the human subject during a measurement can fall on the same frequency of the heart or respiration rate and interfere with the measurement. It will be shown how Empirical Mode Decomposition can break the radar signal down into its components and help separate and remove the fidgeting interference.
Mostafanezhad
Isar
I
University of Hawaii at Manoa, department of Electrical Engineering, Honolulu, HI 96822, USA. isar@spectra.eng.hawaii.edu
Boric-Lubecke
Olga
O
Lubecke
Victor
V
Mandic
Danilo P
DP
D000465:Algorithms; D008991:Monitoring, Physiologic / Q000379:methods*; D009068:Movement; D010363:Pattern Recognition, Automated / Q000379:methods*; D011825:Radar; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D018608:Ultrasonography, Doppler / Q000379:methods*; D055986:Vital Signs / Q000502:physiology*