Abstract
We propose an algorithm for the compression of ECG signals, in particular QRS complexes, based on the expansion of signals with compact support into a basis of discrete Hermite functions. These functions are obtained by sampling continuous Hermite functions, previously used for the compression of ECG signals. Our algorithm uses the theory of signal models based on orthogonal polynomials, and achieves higher compression ratios compared with previously reported algorithms, both those using Hermite functions, as well as those using the discrete Fourier and discrete cosine transforms.
| Original language | English (US) |
|---|---|
| Title of host publication | 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings |
| Pages | 581-584 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Aug 18 2011 |
| Event | 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: May 22 2011 → May 27 2011 |
Other
| Other | 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 5/22/11 → 5/27/11 |
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Keywords
- compression
- DCT
- DFT
- ECG signal
- Hermite function
- Hermite transform
- QRS complex
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Compression of QRS complexes using Hermite expansion. / Sandryhaila, Aliaksei; Kovacevic, Jelena; Püschel, Markus.
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 581-584 5946470.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Compression of QRS complexes using Hermite expansion
AU - Sandryhaila, Aliaksei
AU - Kovacevic, Jelena
AU - Püschel, Markus
PY - 2011/8/18
Y1 - 2011/8/18
N2 - We propose an algorithm for the compression of ECG signals, in particular QRS complexes, based on the expansion of signals with compact support into a basis of discrete Hermite functions. These functions are obtained by sampling continuous Hermite functions, previously used for the compression of ECG signals. Our algorithm uses the theory of signal models based on orthogonal polynomials, and achieves higher compression ratios compared with previously reported algorithms, both those using Hermite functions, as well as those using the discrete Fourier and discrete cosine transforms.
AB - We propose an algorithm for the compression of ECG signals, in particular QRS complexes, based on the expansion of signals with compact support into a basis of discrete Hermite functions. These functions are obtained by sampling continuous Hermite functions, previously used for the compression of ECG signals. Our algorithm uses the theory of signal models based on orthogonal polynomials, and achieves higher compression ratios compared with previously reported algorithms, both those using Hermite functions, as well as those using the discrete Fourier and discrete cosine transforms.
KW - compression
KW - DCT
KW - DFT
KW - ECG signal
KW - Hermite function
KW - Hermite transform
KW - QRS complex
UR - http://www.scopus.com/inward/record.url?scp=80051603120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051603120&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2011.5946470
DO - 10.1109/ICASSP.2011.5946470
M3 - Conference contribution
SN - 9781457705397
SP - 581
EP - 584
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
ER -