Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

ECG data compression by sub-band coding

ECG data compression by sub-band coding

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Electrical Engineers
Published

A data compression technique is presented for discrete-time electrocardiogram signals. The single lead electrocardiogram signal is decomposed into several multiresolution subsignals by using a quadrature mirror filter bank. The resultant subsignals are compressed according to their frequency contents using various coding methods, including a discrete cosine transform based technique and pulse code modulation with variable length coding. Compression ratios as high as 5.7 are obtained without introducing any visual distortion.

Inspec keywords: biomedical electronics; pulse-code modulation; data compression; computerised signal processing; discrete time systems; encoding; electrocardiography

Other keywords: multiresolution subsignals; quadrature mirror filter bank; discrete-time electrocardiogram signals; discrete cosine transform based technique; pulse code modulation; single lead electrocardiogram signal; variable length coding; ECG data compression; compression ratios; subband coding

Subjects: Signal processing and detection; Codes; Biomedical engineering; Bioelectricity; Biology and medical computing; Digital signal processing; Electrical activity in neurophysiological processes; Bioelectric signals

References

    1. 1)
      • S.M.S. Jalaleddine , C.G. Hutchens , R.D. Strattan , W.A. Coberly . ECG data compression techniques-A unified approach. IEEE Trans. , 4 , 329 - 343
    2. 2)
      • R.E. Crochierb . Sub-band coding. Bell Syst. Tech. J. , 7 , 1633 - 1653
    3. 3)
      • T. Young , W. Huggins . The intrinsic component theory of dectrocardiography. IRE Trans. , 214 - 221
    4. 4)
      • S.A. Dyer , N. Ahmed , D.R. Hummels . Vectorcardiographic data compression via Walsh and cosine transforms. IEEE Trans. , 1 , 24 - 34
    5. 5)
      • R. Ansari , A.E. Cetin , S.H. Lee . (1988) , Sub-band coding of images using nonrectangular filter banks.
    6. 6)
      • Esteban, D., Galand, C.: `Application of quadrature mirror filters to split band voice coding schemes', Proc. ICASSP, 1977, p. 191–195.
    7. 7)
      • J.W. Woods , S.D. O'Nhll . Sub-band coding of images. IEEE Trans. , 1278 - 1288
    8. 8)
      • N. Ahmed , T. Natarajan , K.R. Rao . Discrete cosine transform. IEEE Trans. , 90 - 93
    9. 9)
      • Y.Z. Ider , H. Koymen . A new technique for line interference monitoring and reduction in biopotential amplifiers. IEEE Trans. , 6 , 624 - 631
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19910227
Loading

Related content

content/journals/10.1049/el_19910227
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address