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自由活动状态下的连续心电记录 被引量:5

Continuous ECG Recording for Freely Moving Patients
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摘要 随着老年化社会的到来以及慢性心脏病患者的日益增多,自由活动状态下的长时间动态心电监护成为必要。本文采用低倍数放大、高分辨率模数转换和实时数字滤波等技术,设计了一种微型心电记录系统,具有输入信号动态范围(ISDR)>100dB、共模抑制比>100dB、内部噪声水平<5μV(RMS)等特征,使用2节7号电池可连续工作24h以上,并可将心电数据保存在存储卡内。实验表明,在静止、走路、运动等状态下记录的心电P-QRS-T波群显示平滑清晰,能够满足自由活动状态下心电监护和分析的要求。 As more and more people are becoming aged in China and many of them tend to suffer from chronic cardiac probtems, the long-term dynamic cardiac monitoring for freely moving patients becomes essential. A new design for continuous ECG recording on the freely moving patients at home and/or at work is proposed here. It is miniature in size, using digital technologies of the low gain amplifier, the high resolution analog to digital converter and the real- time digital filter that features 〉100dB input signal dynamic range (ISDR), 〉 100dB common-mode rejection ratio (CMRR), and 〈 5μV(RMS) internal noise. The device works continuously more than 24 hours with a pair of AAA batteries, and is capable of storing the recorded data into a storage card. The preliminary tests showed that the P- QRS-T waveforms were captured and displayed smoothly in resting, walking, and activities, making the device use- ful in monitoring and analyzing for the patients on the move.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2013年第2期296-300,共5页 Journal of Biomedical Engineering
关键词 连续心电记录 输入信号动态范围 数字滤波 Continuous ECG recording Input signal dynamic range (ISDR) Digital filtering
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参考文献18

  • 1FAYN J, RUBEL P. Toward a personal health society in car-diology[J]. IEEE Trans Inf Technol Biomed. 2010,14(2):401-409.
  • 2ORESKO J Jt JINZP, CHENG J, et al. A wearable smart-phone-based platform for real-time cardiovascular disease de-tection via electrocardiogram processing[J]. IEEE Trans InfTechnol Biomed, 2010, 14(3) : 734-740.
  • 3CAPUA C, MEDURI A, ROSARIO M. A smart ECG meas-urement system based on web-service-oriented architecture fortelemedicine applications [J], IEEE Trans Instrum Meas,2010,59(10): 2530-2538.
  • 4PURTCHI D, NORRIS M. Design and development of medi-cal electronic instrumentation[M]. Hoboken: Wiley, 2005.
  • 5DILMAGHANI R S, BOBARSHAD H, GHAVAMI M, etal. Wireless sensor networks for monitoring physiological sig-nals of multiple patients [J]. IEEE Trans Biomed CircuitsSyst, 2011, 5(4): 347-356.
  • 6GOMEZ-CLAPERS J, CASANELLA R. A fast and easy-to-use ECG acquisition and heart rate monitoring system using awireless steering wheel[J]. IEEE Sens J, 2012,12(3) : 610-616.
  • 7YOO J, YAN L, LEE S, et al. A wearable ECG acquisitionsystem with compact planar-fashionable circuit board-basedshirt[J]. IEEE Trans Inf Technol Biomed, 2009,13(6):897-902.
  • 8HARRISON R R, KIER R J, CHESTEK C A, et al. Wire-less neural recording with single low-power integrated circuit[J]. IEEE Trans Neural Syst Rehabil Eng, 2009,17(4):322-329.
  • 9ZOU XD, XUX Y,YAO L B, et al. A 1-V 450-nW fully in-tegrated programmable biomedical sensor interface chip[J].IEEE J Solid-State Circuits, 2009, 44(4) : 1067-1077.
  • 10CHI Y M, MAIER C,CAUWENBERGHS G. Ultra-high in-put impedance . low noise integrated amplifier for noncontactbiopotential sensing[J]. IEEE Journal on Emerging and Se-lected Topics in Circuits and Systems, 2011,1(4) : 526-535.

二级参考文献11

  • 1Vrcelj B, Vaidyanathan P P. Equalization with oversampling in multiuser CDMA systems[ J]. Signal Processing, IEEE Transactions on see also Acoustics, Speech, and Signal Processing, IEEE Transactions, 2005,53(5) : 1837 - 1851.
  • 2Lim S, Apostolopoulos J, Gamal A E. Benefits of temporal oversampling in optical flow estimation[ A]. International Conference on Image Processing [ C] .IEEE Press,2004,4:2567 - 2570.
  • 3Sharif M, Gharavi-Alkhansari M, Khalaj B H. On the peak-toaverage power of OFDM signals based on oversampling [ J ]. IEEE Transactions on Communications,2003,51 (1):72- 78.
  • 4林凌,李刚.高精度采集微弱信号的方法与电路[P].中国发明专利:专利(申请)号:200610013461.8.
  • 5孙高峻.生物医学信号数据采集系统研究[D].西安:西北工业大学,2003.
  • 6A V 奥本海姆,R W 谢弗,J R 巴克.离散时间信号处理(第2版)[M].刘海棠,黄建国,译.西安:西安交通大学出版社,2001.150-167.
  • 7李刚,张丽君,林凌,何峰.结合过采样技术和锯齿成形函数的微弱信号检测[J].电子学报,2008,36(4):756-759. 被引量:20
  • 8王雪生,秦巍,凌燮亭,郑增钰.一种新型的级联并行过采样∑Δ调制器结构[J].电子学报,2000,28(2):68-71. 被引量:5
  • 9黄英,王成波.生物电及其在医学中的应用[J].中国局解手术学杂志,2002,11(4):389-390. 被引量:2
  • 10李奕,任惠茹,李刚.生物电数据采集平台的设计[J].电子质量,2003(7):95-97. 被引量:2

共引文献22

同被引文献35

  • 1无.教育部关于深化本科教育教学改革全面提高人才培养质量的意见[J].中华人民共和国教育部公报,2019(9):26-30. 被引量:140
  • 2季虎,毛玲,孙即祥.一种基于Hilbert变换的R波检测算法[J].信号处理,2007,23(3):444-447. 被引量:6
  • 3王步青,王卫东.心率变异性分析方法的研究进展[J].北京生物医学工程,2007,26(5):551-554. 被引量:39
  • 4Bloch KE. Polysomnography: a systematic review[J]. Yech Health Care, 1997, 5(4): 285-305.
  • 5Rofouei M, Sinclair M, Bittner R, et al. A non-invasive wearable neck-cuff system for real-time sleep monitoring[C]. IEEE BSN, 2011: 156-161.
  • 6Zhu X, Chen W, Nemoto T, et al. Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep[J]. IEEE Biomed Eng, 2006, 53(12): 2553-2563.
  • 7Chen LC, Chen K, Hung Y. A sleep monitoring system based on audio, video and depth information for detecting sleep events[C]. IEEE ICME, 2014:1-6.
  • 8Lee S, Yan L, Roh T, et al. A 751W real-time scalable network controller and a 25pW ExG sensor IC for compact sleep-monitoring applications[C]. IEEE ISSCC, 2011: 36-38.
  • 9Berry RB, Budhiraja R, Gottlieb DJ, et al. Rules for scoring respiratory events in sleep: update of the 2007.
  • 10AASM manual for the scoring of sleep and associated events[J]. J Clin Sleep Med, 2012, 8(5): 597-619.

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