Title :
Adaptive Lifting Scheme for ECG QRS complexes detection and its FPGA implementation
Author :
Li, Yan ; Yu, Hang ; Jiang, Lai ; Ma, Lixiao ; Ji, Zhen
Author_Institution :
Shenzhen City Key Lab. of Embedded Syst. Design, Shenzhen Univ., Shenzhen, China
Abstract :
For ECG QRS complexes detection, an Adaptive Lifting Scheme (ALS) has been developed and successfully implemented in Field Programmable Gate Array (FPGA). Realized under XUP Virtex-II Pro environment, the system consists of Top Configuration Module, Detection module and ALS module. Tested by the samples generated from the MIT-BIH ECG Database, its detection accuracy is higher than 99.681%, fulfilling ECG signal processing requirements. Comparing with the same algorithm realized with C codes under TI´s TMS320VC5509A DSP system, more than 20% of processing time is saved.
Keywords :
data analysis; electrocardiography; field programmable gate arrays; medical signal detection; medical signal processing; patient diagnosis; ECG signal processing algorithm; FPGA implementation; MIT-BIH ECG database; QRS complex single detection; TMS320VC5509A DSP system; XUP Virtex-II proenvironment; adaptive lifting scheme; configuration module; data analysis; detection module; field programmable gate array; Accuracy; Databases; Digital signal processing; Electrocardiography; Field programmable gate arrays; Signal processing algorithms; Adaptive Lifting Scheme; ECG QRS Detection; FPGA;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5640073