Carolina Gouveia and José Vieira and Pedro Pinho
Motion Detection Method for Clutter Rejection in the BioRadar Signal Processing
518 - 526
2018
12
8
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/10009329
https://publications.waset.org/vol/140
World Academy of Science, Engineering and Technology
The cardiopulmonary signal monitoring, without the
usage of contact electrodes or any type of inbody sensors, has
several applications such as sleeping monitoring and continuous
monitoring of vital signals in bedridden patients. This system has
also applications in the vehicular environment to monitor the driver,
in order to avoid any possible accident in case of cardiac failure.
Thus, the bioradar system proposed in this paper, can measure vital
signals accurately by using the Doppler effect principle that relates
the received signal properties with the distance change between the
radar antennas and the person’s chestwall. Once the bioradar aim
is to monitor subjects in realtime and during long periods of time,
it is impossible to guarantee the patient immobilization, hence their
random motion will interfere in the acquired signals. In this paper,
a mathematical model of the bioradar is presented, as well as its
simulation in MATLAB. The used algorithm for breath rate extraction
is explained and a method for DC offsets removal based in a motion
detection system is proposed. Furthermore, experimental tests were
conducted with a view to prove that the unavoidable random motion
can be used to estimate the DC offsets accurately and thus remove
them successfully.
Open Science Index 140, 2018