An Improved Measurement Matrix Generator for Compressed Sensing of ECG Signals

Compressed sensing (CS) is being widely used to compress and reconstruct data for processing electrocardiogram (ECG) signals obtained through Wireless Body Area Networks. However, the conventional measurement matrix generator compression computations CS are in parallel, resulting significant power consumption a large area. This paper proposes serial generator, which reduces clock frequencies by using linear feedback shift registers latches. A circuit ECG based on proposed implemented SMIC 55 nm CMOS process. The experimental results show that only 1.690 μW at 1.2 V, chip area 0.608 mm2, has obvious advantages over traditional parallel architecture. reconstruction Percentage Root-mean-square Difference 1.32%, means design meets basic clinical requirements.