Abstract
Chest surface movement contains information of respiration and heart activity which are considered vital parameters. However, it is important to separate respiratory and cardiac information in order to perform further analysis. For this purpose, Independent Component Analysis (ICA) was applied to multiple simultaneously recorded chest surface movement signals. Successful separation of cardiac pattern is demonstrated and compared with ECG. This methodology can be used to further develop non-obtrusive ways to monitor vital physiological parameters in the form of wearable sensors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
De Groote, A., Wantier, M., Cheron, G., Estenne, M., Paiva, M.: Chest wall motion during tidal breathing. Journal of Applied Physiology 83(5), 1531–1537 (1997)
Silva, A.F., Carmo, J.P., Mendes, P.M., Correia, J.H.: Simultaneous cardiac and respiratory frequency measurement based on a single fiber Bragg grating sensor. Measurement Science and Technology 22(7), 75801 (2011)
Ramachandran, G., Singh, M.: Three-dimensional reconstruction of cardiac displacement patterns on the chest wall during the P, QRS and T-segments of the ECG by laser speckle inteferometry. Medical and Biological Engineering and Computing 27(5), 525–530 (1989)
Lin, J.C., Kiernicki, J., Kiernicki, M., Wollschlaeger, P.B.: Microwave apexcardiography. IEEE Transactions on Microwave Theory and Techniques 27(6), 618–620 (1979)
Obeid, D., Zaharia, G., Sadek, S., El Zein, G.: Microwave doppler radar for heartbeat detection vs electrocardiogram. Microwave and Optical Technology Letters 54(11), 2610–2617 (2012)
Mikhelson, I.V., Bakhtiari, S., Elmer, T.W., Sahakian, A.V.: Remote Sensing of Heart Rate and Patterns of Respiration on a Stationary Subject Using 94-GHz Millimeter-Wave Interferometry. IEEE Transactions on Biomedical Engineering 58(6), 1671–1677 (2011)
Comon, P.: Independent component analysis, A new concept. Signal Processing 36(3), 287–314 (1994)
Hyvarinen, A., Oja, E.: A fast fixed-point algorithm for independent component analysis. Neural Computation 9(7), 1483–1492 (1997)
Hyvarinen, A.: Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks 10(3), 626–634 (1999)
Hyvarinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Wiley & Sons (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shafiq, G., Wang, Y., Tatinati, S., Veluvolu, K.C. (2013). ICA for Separation of Respiratory Motion and Heart Motion from Chest Surface Motion. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_73
Download citation
DOI: https://doi.org/10.1007/978-3-642-42051-1_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42050-4
Online ISBN: 978-3-642-42051-1
eBook Packages: Computer ScienceComputer Science (R0)