Abstract
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.
Keywords
Hilbert–Huang transformDoppler radarDoppler effectRadarComputer scienceInterference (communication)Signal processingWirelessPulse-Doppler radarElectronic engineeringTelecommunicationsEngineeringRadar imagingPhysics
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Publication Info
- Year
- 2009
- Type
- article
- Volume
- 2009
- Pages
- 340-3
- Citations
- 61
- Access
- Closed
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Cite This
Isar Mostafanezhad,
O. Boric-Lubecke,
Victor M. Lubecke
et al.
(2009).
Application of empirical mode decomposition in removing fidgeting interference in doppler radar life signs monitoring devices.
, 2009
, 340-3.
https://doi.org/10.1109/iembs.2009.5333206
Identifiers
- DOI
- 10.1109/iembs.2009.5333206