DSP based real-time adaptive vital signals extraction algorithm using CW-Radar for wheelchair users

A TI C67XX DSP based platform was developed for real time processing of the biomedical signals obtained from sensors integrated in a wheelchair. Special attention was granted to the use of Frequency Modulated Continuous Wave Doppler Radars (FMCW-DRadar) for cardio-respiratory activity assessment. A practical approach concerning artifacts removal through adaptive digital filtering implemented in the DSP platform was one of the aims of the work. Additionally, in order to increase the accuracy of the results, programmable data acquisition architecture was designed and implemented and a data communication protocol between the DSP platform and a host computer associated with graphical user interface was carried out. Several elements related to digital filtering design and implementation and experimental results concerning the cardio-respiratory monitoring are included in the present article.

[1]  Joaquim Gabriel,et al.  Cardio-respiratory and daily activity monitor based on FMCW Doppler radar embedded in a wheelchair , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  O. Boric-Lubecke,et al.  A digital signal processor for Doppler radar sensing of vital signs , 2001, IEEE Engineering in Medicine and Biology Magazine.

[3]  Anding Zhu,et al.  Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter , 2012, 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS).

[4]  Jenshan Lin,et al.  Range correlation and I/Q performance benefits in single-chip silicon Doppler radars for noncontact cardiopulmonary monitoring , 2004, IEEE Transactions on Microwave Theory and Techniques.

[5]  Olga Boric-Lubecke,et al.  DC information preservation for cardiopulmonary monitor utilizing CW doppler radar , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  V.M. Lubecke,et al.  Data Acquisition System for Doppler Radar Vital-Sign Monitor , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Steven W. Smith,et al.  The Scientist and Engineer's Guide to Digital Signal Processing , 1997 .

[8]  O. Boric-Lubecke,et al.  A digital signal processor for Doppler radar sensing of vital signs , 2002 .