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.
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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
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DOI: https://doi.org/10.1007/978-3-642-42051-1_73
Publisher Name: Springer, Berlin, Heidelberg
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