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Motion artefact separation in single channel doppler radar respiration measurement
conference contribution
posted on 2015-01-01, 00:00 authored by Yee Siong Lee, Pubudu PathiranaPubudu PathiranaDirect conversion Doppler radar has the capability to remotely monitor human respiratory activity in a non-contact form. However, the motion or movement from the subject will degrade the acquired respiration signal. As the respiration pattern is one of the essential parameters in respiratory medicine intrinsically containing more information about the respiratory function, it is particularly important to suppress or to separate these motion artefacts in order to reconstruct the corresponding patterns. Experiment results show that EMD-ICA algorithm is capable of separating the mixed respiration signal by recovering the useful information of the breathing pattern as well as the motion signatures using only a single channel measurement when using the source separation algorithm. This reduces the complexity and the cost of the sensing system while removing the undesirable artefacts. A high correlation was also observed from the recovered respiration pattern in comparison to the standard respiration strap for both experiments setup (a seated and a supine position).
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Event
Bioelectronics and Bioinformatics. International Symposium (4th : 2015 : Beijing, China)Pagination
79 - 82Publisher
IEEELocation
Beijing, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2015-10-14End date
2015-10-17ISBN-13
9781467366076Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2015, IEEETitle of proceedings
ISBB 2015 : Proceedings of the 4th International Symposium on Bioelectronics and BioinformaticsUsage metrics
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