Abstract:This study is aimed to design a multiparameter monitor with multicommunication modes based on ARM. The control core of the system is an ARM9 processorS3C2440. This monitor can measure ECG, respiration, blood pressure, pulse, body temperature and blood oxygen saturation by designing physiological signal acquisition circuit, humancomputer interface circuit and communication interface circuit. Furthermore, this monitor can support three communication interfaces including WiFi, GPRS and DM9000, therefore it can communicate in different environment and condition. The system software was built by Linux and QT to realize physiological signal analysis, display and remote communication. Thirty subjects participated in the verifying experiments. Physiological parameters of them were measured with the monitor and other domestic monitor. Results showed that the verification accuracy rate of measurement reaches 92.2% to meet the clinical application requirement. Multicommunication methods can establish LAN and Internet connection conveniently, and provide condition for telemedicine and family care.
庞春颖* 赵春华 金阳. 基于ARM的多通信方式的监护仪设计与实现[J]. 中国生物医学工程学报, 2013, 32(1): 7-13.
PANG Chun Ying* ZHAO Chun Hua JIN Yang. The Design and Implementation of a Monitor with MultiCommunication Mode Based on ARM. journal1, 2013, 32(1): 7-13.
[1]丁晓波. 全球医疗监护仪市场分析[J]. 中国医疗器械信息, 2010,16(11): 23-27.
[2]Sahandi R,Noroozi S,Roushan G, et al. Wireless technology in the evolution of patient monitoring on general hospital wards[J]. J Med Eng Technol,2010,34(1):51-63.
[3]Mukai K,Yonezawa Y, Ogawa H, et al. A remote monitor of bed patient cardiac vibration,respiration and movement [C]// Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Minneapolis: IEEE, 2009: 5191-5194.
[4]Figueredo MVM,Dias JS. Mobile telemedicine system for home care and patient monitoring[C]// Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Minneapolis: IEEE, 2009: 3387-3390.
[5]Davenport DM, Ross FJ, Deb B. Wireless propagation and coexistence of medical body sensor networks for ambulatory patient monitoring[C] // Proceedings of 6th International Workshop on Wearable and Implantable Body Sensor Networks. Berkeley: IEEE, 2009:41-45.
[6]Monton E,Hernandez J F,Blasco J M,et al. Body area network for wireless patient monitoring[J]. Communications, 2008,2(2):215-222.
[7]刘官正,吴丹,梅占勇,等.基于体域网的动态呼吸监测系统设计[J]. 中国生物医学工程学报,2012,31(2):316-319.
[8]童基均,郭希山,潘敏.基于无线技术的远程病人监护系统[J].国际生物医学工程杂志,2007,30(2):128-132.
[9]Jiang Jiehui,Zhang Jing. Remote patient monitoring system for China[J]. Potentials,2007,26(3):26-29.
[10]Bai Yingwen,Cheng Chienyung, Lu Choulin, et al. Design and implementation of an embedded remote ECG measurement system [C]// Proceedings of Instrumentation and Measurement Technology Conference. Ottawa: IEEE, 2005:1311-1316.
[11]Kalpakam NV, Venkataramanan S. EEG signal processing for modern wireless patient monitoring [C]// Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Minneapolis: IEEE, 2009:2042-2050.
[12]Ieong CI, Vai MI, Mak PU. ECG QRS complex detection with programmable hardware [C]// Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society .Shanghai: IEEE, 2008:2920-2923
[13]王大雄,顾永根,徐耕,等. T波检测和QT间期提取策略[J].中国生物医学工程学报,2011,30(3):352-356.
[14]皮喜田,李双双,刘洪英.基于DSP的血压计的设计与实现[J]. 中国生物医学工程学报,2011,30(3), 428-431.
[15]邓宝芸,潘燕,孟岩,等.基于心电和脉搏波数据融合的呼吸率估计[J]. 中国生物医学工程学报,2012,31(2):211-215.