Yan Xiangguo,Zheng Chongxun,Kang Yu
(The Key Laboratory of Biomedical Information Engineering of Ministry of Education,Xi'an Jiaotong University,Xi'an 710049,China)
Abstract:To satisfy the development of a high-powered Holter system,an efficient scheme with electrocardiograph(ECG) data compression,storage,and transmission,is proposed. An integer-to-integer wavelet transform based ECG data reduction algorithm is presented,where data reduction with high signal fidelity are achieved by introducing a shelter function with thresholds at different scales and a code scheme based on statistics.An address-mapped approach based data storage model is used to improve data storing efficiently.A built-in USB technique is applied to implement highspeed data transmission.The experiment and clinic application show that it can record 24-hours’12-leads ECG at 1 000 Hz sample rate,and is competent to record normal ECG,paced-ΕCG and high-frequency ECG accurately.
Keywords:electrocardiograph;Holter;data compression;digital signal processor;universal serial bus