Energy-efficient biomedical signal processing IC design for wireless biomedical and healthcare applications

Abstract

With the aging of the population, the incidence of heart related diseases is increasing. It also takes more and more risks to people. Therefore, how to effectively observe and treat heart disease has become an urgent problem. It is of great significance developing a set of equipment for electrocardiogram (ECG) and heart sound monitoring, for providing a reference for the doctor's diagnosis and follow-up treatment. At present, the processing technology and the processing method of ECG/PCG (phonocardiogram) signal is still the key technology to develop multifunctional ECG/PCG monitoring products. In this dissertation, an Energy-Efficient PCG Processor for implantable/wearable sensor[2] will be reviewed. Firstly,the design of the processor structure is introduced, including the process of heart sound processing and the realization of wavelet transform processing. Secondly, a new wavelet transform denoising method based on Quadratic Spline Wavelet is proposed based on the presented structure. Then the hardware design of Quadratic Spline Wavelet transform part is implemented on FPGA. And also evaluated and compared with existing method in resource utilization, performance and power consumption. The optimized architecture can reduce by about 18 mW when compared with conventional architecture. Thus the efficiency of processor has a significant improve.