ECG data compression for a portable ECG recorder and transmitter

Author

Pandhe, Diptee C. ; Patil, H.T.

Author_Institution

Instrumentation And Control, Cummins College of Engineering for Women, Karvenagar, Pune, India

fYear

2014

Firstpage

1

Lastpage

5

Abstract

The ECG digital signal processing evolved in last decade and the need to store and transmit ECG signal data is continuously increasing. This paper involves analysis of an enhanced ECG compression and de-compression method. The method is evaluated on the basis of different compression and quality parameters like compression ratio (CR), percent root mean square difference (PRD), Signal to noise ratio (SNR), quality score (QS), etc. The compression algorithm includes three sequential processing phases: 1. Pre-processing and classification, 2. Linear transformation, 3. Entropy coding. The compression method is implemented by deciding a particular signal processing / coding algorithm for each of these phases. The de-compression technique is the inverse process of compression and it reconstructs the original signal with negligible loss of information. Finally, the described method is compared with existing ECG compression algorithms.

Keywords

Data compression; Databases; Dictionaries; Discrete cosine transforms; Electrocardiography; Encoding; Real-time systems; Compression Ratio (CR); Digital Wavelet Transform (DWT); Discrete Cosine Transform (DCT); Electrocardiogram (ECG); Percent Root Mean Square Difference (PRD); Percent Root Mean Square Difference Normalised (PRDN); Quality Score (QS); Signal to Noise Ratio (SNR);

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Communication and Computing Technologies (ICACACT), 2014 International Conference on

Print_ISBN

978-1-4799-7318-7

Type

conf

DOI

10.1109/EIC.2015.7230715

Filename

7230715