Department of Biomedical Engineering, Politecnico University, Milano 20133, Italy.
IEEE Rev Biomed Eng. 2009;2:9-11. doi: 10.1109/RBME.2009.2034698.
Biomedical signals carry fundamental information about the nature and the status of the living systems under study. A proper processing of these signals obtains useful physiological and clinical information. A closer integration between signal processing and modeling of the relevant biological systems is capable to directly attribute pathophysiological meaning to the parameters obtained from the processing and vice versa. Another issue of great interest in which BSP plays an important role is the Brain-Computer Interface (BCI) or Brain-Machine Interface (BMI) where fast and reliable signal processing approaches are fundamental for a practical implementation. The physiological mechanisms underlying these heart rate variability findings are supposed to be related to stochastic processes at the cellular level, to influence of respiration on the heart rate, and to the interactions of the multiple feedback loops regulating the cardiovascular system. Another important area in which BSP plays a pivotal role is the "computational genomics and proteomics." It is true that "traditional" biomedical engineering studies biomedical signals which are obtained at the level of the major physiological systems.
生物医学信号携带着关于所研究的生命系统的本质和状态的基本信息。对这些信号进行适当的处理可以获得有用的生理和临床信息。信号处理与相关生物系统建模之间更紧密的集成能够直接将从处理中获得的参数赋予病理生理意义，反之亦然。BSP 发挥重要作用的另一个重要问题是脑-机接口 (BCI) 或脑-机接口 (BMI)，其中快速可靠的信号处理方法对于实际实现至关重要。这些心率变异性发现背后的生理机制据推测与细胞水平的随机过程、呼吸对心率的影响以及调节心血管系统的多个反馈回路的相互作用有关。BSP 发挥关键作用的另一个重要领域是“计算基因组学和蛋白质组学”。“传统”生物医学工程确实研究了在主要生理系统水平获得的生物医学信号。
