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.