A Review on Methods for Random Motion Detection and Compensation in Bio-Radar Systems
The bio-radar system can measure vital signals accurately, by using the Doppler effect principle, which relates the received signal properties to the distance change between the radar antennas and the subject chest-wall. These systems have countless applications, from short range detection to assist...
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Published in | Sensors (Basel, Switzerland) Vol. 19; no. 3; p. 604 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI
31.01.2019
MDPI AG |
Subjects | |
Online Access | Get full text |
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Summary: | The bio-radar system can measure vital signals accurately, by using the Doppler effect principle, which relates the received signal properties to the distance change between the radar antennas and the subject chest-wall. These systems have countless applications, from short range detection to assist in rescue missions, to long-term applications as for the continuous sleeping monitoring. Once the main applications of these systems intend to monitor subjects during long periods of time and under noisy environments, it is impossible to guarantee the patient immobilization, hence its random motion, as well as other clutter sources, will interfere in the acquired signals. Therefore, the signal processing algorithms developed for these applications have been facing several challenges regarding the random motion detection and mitigation. In this paper, an extended review on the already implemented methods is done, considering continuous wave radars. Several sources of random motion are considered, along with different approaches to compensate the distortions caused by them. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 These authors contributed equally to this work. |
ISSN: | 1424-8220 1424-8220 |
DOI: | 10.3390/s19030604 |