ABSTRACT
In this paper a filtering method for EECG (Exercise ECG) signal is proposed which is based on wavelet transform (WT) and Stein's unbiased risk estimate (SURE). This algorithm was used to decompose original EECG signals into detail signals on different frequency bands by using WT and get different thresholds with SURE. According to EECG signal features and by using the above thresholds, the method amended several detail signals so that the main interferences in EECG signal can be removed efficiently. The authors also put forward two indexes to estimate the validity of such algorithms. Our experimental results demonstrate that this is an efficient de-noising method for EECG.
Subject(s)
Humans , Algorithms , Echocardiography, Stress , Electrocardiography , Methods , Exercise Test , Methods , Signal Processing, Computer-AssistedABSTRACT
According to the large stray capacitance of the gate terminal of power MOSFET,this paper introduces the main characteristics and application of IC driver MAX626/7/8,especially designed for the high speed power MOSFET.The ultrasound generator made from that chip is simple in circuit,stable when working as well as small and light for carrying.