Cardiorespiratory Frequency Monitoring Using the Principal Component Analysis Technique on UWB Radar Signal
Joint Authors
Pisa, Stefano
Bottiglieri, Anna
Pittella, Erika
Cavagnaro, Marta
Source
International Journal of Antennas and Propagation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In this paper, Principal Component Analysis technique is applied on the signal measured by an ultra wide-band radar to compute the breath and heart rate of volunteers.
The measurement set-up is based on an indirect time domain reflectometry technique, using an ultra wide-band antenna in contact with the subject’s thorax, at the heart height, and a vector network analyzer.
The Principal Component Analysis is applied on the signal reflected by the thorax and the obtained breath frequencies are compared against measures acquired by a piezoelectric belt, a widely used commercial system for respiratory activity monitoring.
Breath frequency results show that the proposed approach is suitable for breath activity monitoring.
Moreover, the wearable ultra wide-band radar gives also promising results for heart activity frequency detection.
American Psychological Association (APA)
Pittella, Erika& Bottiglieri, Anna& Pisa, Stefano& Cavagnaro, Marta. 2017. Cardiorespiratory Frequency Monitoring Using the Principal Component Analysis Technique on UWB Radar Signal. International Journal of Antennas and Propagation،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1158651
Modern Language Association (MLA)
Pittella, Erika…[et al.]. Cardiorespiratory Frequency Monitoring Using the Principal Component Analysis Technique on UWB Radar Signal. International Journal of Antennas and Propagation No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1158651
American Medical Association (AMA)
Pittella, Erika& Bottiglieri, Anna& Pisa, Stefano& Cavagnaro, Marta. Cardiorespiratory Frequency Monitoring Using the Principal Component Analysis Technique on UWB Radar Signal. International Journal of Antennas and Propagation. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1158651
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158651