Chen C C, Gallagher R R
Department of Electrical and Computer Engineering Kansas State University Manhattan 66506.
Biomed Sci Instrum. 1993;29:427-34.
In the study of physiological system dynamics, a mobile Front End System is needed in faithfully monitoring and recording physiological signals at various experimental sites. Local real-time mode operation is required at the site of the experiment such that the significant dynamic response or event from the subject can be easily captured and displayed as the experiment progresses. An additional requirement is the interfacing with the campus computer network such that numerous network computing resources can be employed in further processing of the captured data. The system is configured by using general-purpose components such as a 50MHz PC-486, a DAS-HRES data acquisition board and some other necessary peripheral devices. An algorithm has been developed for the continuous manipulation of two queues to maintain the real-time task scheduling. Traces can be played back in forward or reverse mode at varied speed after the recording has been made. As desired, any trace segment can be picked up in the play back mode from the huge data files. The system is incorporated in a live subject bioinstrumentation laboratory and has the capability of monitoring signals from four simultaneously experimental setups. The signal types involved are membrane potentials, ECG, EMG, blood pressure, and respiratory flows and gas concentrations.
在生理系统动力学研究中,需要一个移动前端系统来如实地监测和记录各个实验部位的生理信号。实验现场需要进行本地实时模式操作,以便在实验进行过程中能够轻松捕捉并显示来自受试者的显著动态反应或事件。另一个要求是与校园计算机网络接口,以便能够利用众多网络计算资源对采集到的数据进行进一步处理。该系统使用通用组件进行配置,如50MHz的PC-486、DAS-HRES数据采集板和一些其他必要的外围设备。已开发出一种算法,用于持续操作两个队列以维持实时任务调度。记录完成后,轨迹可以以不同速度在正向或反向模式下回放。根据需要,可以在回放模式下从大量数据文件中提取任何轨迹段。该系统集成在一个活体受试者生物仪器实验室中,能够监测来自四个同步实验装置的信号。所涉及的信号类型包括膜电位、心电图、肌电图、血压以及呼吸流量和气体浓度。