Jafarian Kamal, Amineslami Majid, Hassani Kamran, Navidbakhsh Mahdi, Lahiji Mohammad Niakan, Doyle D John
Department of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Faculty of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.
J Clin Monit Comput. 2016 Feb;30(1):107-18. doi: 10.1007/s10877-015-9693-8. Epub 2015 Apr 14.
This study pertains to a six-channel acoustic monitoring system for use in patient monitoring during or after surgery. The base hardware consists of a USB data acquisition system, a custom-built six-channel amplification system, and a series of microphones of various designs. The software is based on the MATLAB platform with data acquisition drivers installed. The displayed information includes: time domain signals, frequency domain signals, and tools to aid in the detection of endobronchial intubation. We hypothesize that the above mentioned arrangement may be helpful to the anesthesiologist in recognizing clinical conditions like wheezing, bronchospasm, endobronchial intubation, and apnea. The study also evaluated various types of microphone designs used to transduce breath sounds. The system also features selectable band-pass filtering using MATLAB algorithms as well as a collection of recordings obtained with the system to establish what respiratory acoustic signals look like under various conditions.
本研究涉及一种用于手术期间或术后患者监测的六通道声学监测系统。基础硬件包括一个USB数据采集系统、一个定制的六通道放大系统以及一系列不同设计的麦克风。软件基于安装了数据采集驱动程序的MATLAB平台。显示的信息包括：时域信号、频域信号以及有助于检测支气管内插管的工具。我们假设上述配置可能有助于麻醉医生识别诸如哮鸣、支气管痉挛、支气管内插管和呼吸暂停等临床状况。该研究还评估了用于转换呼吸音的各种类型的麦克风设计。该系统还具有使用MATLAB算法的可选带通滤波功能，以及通过该系统获得的一组记录，以确定在各种条件下呼吸声学信号的样子。
