Referenced Items are not available for this document.
The authors have investigated the use of adaptive beat estimation for ECG data compression. On selected MIT/BIH database records, they estimated QRS complexes from previous QRS complexes with simple averaging, LMS adaptive estimation, and averaging based on the mean axis direction of the QRS complex. The authors subtracted beat estimates from actual beats to produce residual beats. They calculated entropy of the first differenced residual data. Differenced residual signal entropy was reduced by adaptive estimation in thirteen of fourteen records, with a maximum reduction of 0.53%. Averaging based on mean QRS axis reduced the differenced residual signal entropy in 11 of 13 records, with a maximum entropy reduction of 4.1%
Date of Conference: 1994
- Page(s):
- 1268 - 1269 vol.2
- Meeting Date :
- 03 Nov 1994-06 Nov 1994
- Print ISBN:
- 0-7803-2050-6
- INSPEC Accession Number:
- 5112214
- Conference Location :
- Baltimore, MD
- Digital Object Identifier :
- 10.1109/IEMBS.1994.415426
- Product Type:
- Conference Publications
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