A Heterogeneous Multi-Core Based Biomedical Application Processing System and Programming Toolkit

摘要

Due to the growth of biological databases and biomedical instruments, the high performance active (real-time) signal processing becomes a challenge for medical scientists and engineers. The medical applications require a high-performance signal processor which can process the scientific and engineering biomedical applications and is easy to program. In this article, we have suggested a biomedical sensor interface and heterogeneous multi-core processing architecture based biomedical application processing system (BAPS) and biomedical applications toolkit. The biomedical sensor interface supports multiple regular and complex medical signals and provides digital data to the processing system. The BAPS uses heterogeneous multi-core architecture that processes biomedical applications with the performance up to 10 billion operations per sec and accuracy of 1 mu sec. The biomedical application toolkit provides programmability by giving support of hardware-level, scientific and artificial intelligence programming. The BAPS provides a single embedded platform solution to process a wide range of biomedical signal and image processing applications. To prove the importance of the proposed system, we developed the BAPS hardware architecture and tested it with different biomedical applications. When compared the results of BAPS with the baseline system, the results show that BAPS improves active (real-time) applications performance up to 12.8 times and processes passive (non-real-time) application 7.4 times faster and improves the 4.84-time performance of artificial intelligence application. While comparing the power and energy, the BAPS draws 1.56 times less dynamic power and consumes 21.85 times less energy.