Abstract
Interpreting signals in the time domain is intuitively grasped by most people as time plots are commonly encountered in everyday life. Time domain plots represent the variable of interest in the y-axis and time in the x-axis. Stock charts show the up and down trends of your investment’s value over time. Your electric company bill will show your power usage month-to-month over the course of the year. Signals in cardiology are also most commonly displayed in the time domain. ECG and blood pressure monitors, for example, continuously plot voltages or pressure vs. time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Harris FJ. On the use of windows for harmonic analysis with the discrete Fourier transform. Proc IEEE. 1978;66(1):51–83.
Ng J, Goldberger JJ. Understanding and interpreting dominant frequency analysis of AF electrograms. J Cardiovasc Electrophysiol. 2007;18:680–685.
Oppenhein AV, Schafer RW. Discrete-Time Signal Processing. Englewood Cliffs, NJ: Prentice Hall; 1989.
Ziemer RE, Tranter WH, Fannin DR. Signals and Systems: Continuous and Discrete. New York, NY: Macmillan; 1993.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer London
About this chapter
Cite this chapter
Ng, J., Goldberger, J.J. (2010). Signals in the Frequency Domain. In: Goldberger, J., Ng, J. (eds) Practical Signal and Image Processing in Clinical Cardiology. Springer, London. https://doi.org/10.1007/978-1-84882-515-4_3
Download citation
DOI: https://doi.org/10.1007/978-1-84882-515-4_3
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-84882-514-7
Online ISBN: 978-1-84882-515-4
eBook Packages: MedicineMedicine (R0)