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基于雙核處理器的新生兒腦功能監(jiān)護儀的研制

Development of cerebral function monitor in the neonate based on dual-core processor

作者: 張山根  葉大田  彭誠 
單位:                      清華大學深圳研究生院生物醫(yī)學工程研究中心(深圳518055)        
關鍵詞:                     新生兒腦功能監(jiān)護儀;嵌入式;振幅整合腦電圖;樣本熵          
分類號:
出版年·卷·期(頁碼):2014·33·6(627-635)
摘要:

           目的  目前市場上的新生兒腦功能監(jiān)護儀多為國外研發(fā)生產,多采用單導腦電和振幅整合腦電圖算法,價格昂貴、體積龐大。為了實現降低成本、小型化和多評估參數的目的,研發(fā)了一款具有低成本、小型化、多評估參數、豐富操作功能和友好用戶界面特點的新生兒腦功能監(jiān)護系統(tǒng)。 方法  首先該系統(tǒng)第一部分基于DSP&ARM雙核處理器及QT工具,設計并搭建了嵌入式開發(fā)平臺,其中硬件部分基于A/D、單片機和DSP&ARM雙核處理平臺OMAPL138開發(fā)板,實現了信號的采集、存儲、處理和實時顯示等功能。其次,移植了振幅整合腦電圖(amplitude-integrated electroencephalography, aEEG)和樣本熵(sample entropy , SampEn)兩種算法,完成了基于Linux操作系統(tǒng)對開發(fā)平臺的控制軟件。然后基于Qt開發(fā)工具設計并搭建了新生兒腦功能監(jiān)護儀用戶平臺,平臺包括患者信息管理系統(tǒng)、波形顯示系統(tǒng)、數據標注系統(tǒng)和數據標注數據庫等模塊。 結果  經過系統(tǒng)整體調試和測試,儀器能夠實現aEEG和SampEn多參數評估,實時床旁監(jiān)測病情等功能。 結論  基于雙核處理器技術研發(fā)的腦功能監(jiān)護儀能夠實現低成本、小型化、多評估參數、豐富操作功能和友好用戶界面的目的,達到了預期目標。    

       Objective The mainly cerebral function monitors in the neonate are developed aboard, with the feathers of high cost, only one parameter and large volume. This paper reports a cerebral function monitoring system in the neonate, with the feathers of low cost, miniaturization, multi evaluation parameters, rich functions and friendly user interface. Methods Firstly we designed and built the embedded development platform based on the DSP&ARM dual core processor and the tool of Qt. Based on A/D converter, microcontroller and the dual core professor platform OMAPL138, the hardware realized the functions of signal acquisition, data storage, data processing and real-time display for waveform. The system transplanted the two algorithms of aEEG and SampEn, and completed the control software of the development platform based on Linux Operating System. Then based on the tool of Qt, we built the user platform of the cerebral function monitor in the neonate, including the models of the patient information management system, waveform display system, data annotation system and data annotation database. Results After being debugged and tested, the device had the function of multi evaluation parameters of aEEG and SampEn, and real-time monitoring. Conclusions This cerebral function monitor in the neonate based on dual-core processor reaches the expected aim of low cost, miniaturization, multi evaluation parameters, rich functions and friendly user interface.

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