Abstract
Data compression is an important aspect of signal processing that affects almost all cardiology signal and image recording techniques. One of the big advantages of digital signal and image acquisition is that these files can be easily accessed from computer workstations. The need for large filing cabinets and physical archiving of the signals and images are lessened. Digital storage is relatively inexpensive and the prices are continuously dropping as technology for these devices improve. Despite this, digital storage space is still finite and efficient use of this space is required to handle the large amount of data that is constantly being generated. As discussed in the earlier chapters, choice of sample rates, amplitude resolutions, and spatial resolutions are important factors for the efficient use of digital storage space. This chapter will discuss how data compression can be used to store data in a more efficient manner.
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Ng, J., Goldberger, J.J. (2010). Data Compression. 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_8
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DOI: https://doi.org/10.1007/978-1-84882-515-4_8
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