Low-power SoC design and system implementation for medical applications

摘要

In this paper, some results on the low-power SoC design and system implementation for medical applications have been discussed. As some examples, a low power SoC based on an eight-bit CPU core widely used in lots of medical devices is introduced. Software programming includes the development in both SoC-side and PC-side software design. The results show duration of service for these medical devices are more than three years. Diagnosing Diseases through pulse waveforms and EEG signals by an automated system is the basic method to find the diseases and its related information about the human body. A new thresholding function based on SURE optimizing algorithm has been set for optimal threshold value by pulse waveform data. An approach of the combination of Fast ICA and wavelet packet transform algorithm is proposed to process the EEG signals. The Experimental results indicated that the proposed methods can effectively de-noise in pulse and EEG signals, respectively.