Title :
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
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);
Conference_Titel :
Advances in Communication and Computing Technologies (ICACACT), 2014 International Conference on
Print_ISBN :
978-1-4799-7318-7
DOI :
10.1109/EIC.2015.7230715
