title: A low power biomedical signal processor ASIC based on hardware software codesign.
abstract: A low power biomedical digital signal processor ASIC based on hardware and software codesign methodology was presented in this paper. The codesign methodology was used to achieve higher system performance and design flexibility. The hardware implementation included a low power 32bit RISC CPU ARM7TDMI, a low power AHB-compatible bus, and a scalable digital co-processor that was optimized for low power Fast Fourier Transform (FFT) calculations. The co-processor could be scaled for 8-point, 16-point and 32-point FFTs, taking approximate 50, 100 and 150 clock circles, respectively. The complete design was intensively simulated using ARM DSM model and was emulated by ARM Versatile platform, before conducted to silicon. The multi-million-gate ASIC was fabricated using SMIC 0.18 microm mixed-signal CMOS 1P6M technology. The die area measures 5,000 microm x 2,350 microm. The power consumption was approximately 3.6 mW at 1.8 V power supply and 1 MHz clock rate. The power consumption for FFT calculations was less than 1.5 % comparing with the conventional embedded software-based solution.
authors: Institute of Biomedical and Health Engineering (IBHE) Shenzhen Institute of Advanced Technology (SIAT). zd.nie@siat.ac.cn
authors: Z D
authors: ZD
authors: Nie
authors: L
authors: L
authors: Wang
authors: W G
authors: WG
authors: Chen
authors: T
authors: T
authors: Zhang
authors: Y T
authors: YT
authors: Zhang
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000295:instrumentation* / Q000379:methods; D003198:Computer Simulation; D003201:Computers; D004867:Equipment Design / Q000295:instrumentation; D005583:Fourier Analysis; D006801:Humans; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D011381:Programming Languages; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software