ECG compression: evaluation of FFT, DCT, and WT performance

Autor:	Hamid GholamHosseini, Nazeran H, Moran B
Rok vydání:	1999
Předmět:	Electrocardiography Biometry Fourier Analysis Evaluation Studies as Topic Data Interpretation Statistical Humans Algorithms
Zdroj:	Scopus-Elsevier Europe PubMed Central
ISSN:	0158-9938
Popis:	This work investigates a set of ECG data compression schemes to compare their performances in compressing and preparing ECG signals for automatic cardiac arrhythmia classification. These schemes are based on transform methods such as fast Fourier transform (FFT), discrete cosine transform (DCT), wavelet transform (WT), and their combinations. Each specific transform is applied to a pre-selected data segment from the MIT-BIH database and then compression is performed in the new domain. These transformation methods are known as an important class of ECG compression techniques. The WT has been shown as the most efficient method for further improvement. A compression ratio of 7.98 to 1 has been achieved with a percent of root mean square difference (PRD) of 0.25%, indicating that the wavelet compression technique offers the best performance over the other evaluated methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::e7ade2f2cad94345086e6c0884f6f8ec https://pubmed.ncbi.nlm.nih.gov/10050349 Zobrazit plný text záznamu