Title :
Multichannel ECG data compression method based on a new modeling method
Author :
Prieto, A. ; Mailhes, C.
Author_Institution :
Univ. Autonoma Metropolitana, Mexico City, Mexico
Abstract :
This work addresses the problem of multichannel ECG data compression. The proposed method is based on the identification of an FIR system. The idea of this method is to consider different independent leads (I, II, V1 to V6) as the outputs of linear filters in which the excitation signal is one of these leads suitably chosen. For purposes of compression, the parameters of the FIR system are quantized and coded. Compression results are presented in terms of the signal-to-noise ratio (SNR) and compression ratio (CR). The results obtained shown a good reconstruction level with a high CR
Keywords :
FIR filters; combined source-channel coding; electrocardiography; identification; medical signal processing; physiological models; FIR system identification; compression ratio; excitation signal; independent leads; linear filter outputs; modeling method; multichannel ECG data compression; parameter coding; parameter quantization; reconstruction level; signal-to-noise ratio; Chromium; Cities and towns; Data compression; Electrocardiography; Finite impulse response filter; Joining processes; Nonlinear filters; Signal processing; Signal to noise ratio; System identification;
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
Print_ISBN :
0-7803-7266-2
DOI :
10.1109/CIC.2001.977642
