全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2017 

一种改进的子宫肌电包络提取算法

DOI: doi:10.7507/1001-5515.201605025

Keywords: 子宫肌电, 过零检测, 平滑, 包络提取

Full-Text   Cite this paper   Add to My Lib

Abstract:

基于腹部采集的子宫肌电信号(EMG)提取子宫收缩信息被认为是一种最有可能取代分娩力描记法(TOCO)的新方法。传统均方根(RMS)算法对子宫肌电信号中脉冲性噪声的抑制能力有限,为了有效克服上述问题,本文提出一种改进的子宫肌电包络提取算法。新方法先对原始子宫肌电信号进行过零检测,识别出爆发波并分段,再对分段后的信号进行不同窗口宽度的平滑滤波,最后采用均方根法提取子宫肌电强度(IEMG)作为包络。为了评估本算法的性能表现,本文将该算法与两种现有子宫肌电强度提取算法进行比较。结果表明,该算法在抑制子宫肌电信号中存在的脉冲性噪声方面要明显优于对比算法,其测量灵敏度与阳性预测值(PPV)分别为 0.952 和 0.922,不仅明显高于对比算法一中对应参数的 0.859 和 0.847,同时也高于对比算法二中的 0.928 和 0.877。本研究表明了该方法的可靠性与有效性

References

[1]  1. ?GARFIELD R E, MANER W L. Uterine electromyography in humans–contractions, labor, and delivery// 2007 11th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2007). Ljubljana, 2007: 128-130.
[2]  2. MAUL H, MANER W L, OLSON G, et al. Non-invasive transabdominal uterine electromyography correlates with the strength of intrauterine pressure and is predictive of labor and delivery. J Matern Fetal Neonatal Med, 2004, 15(5): 297-301.
[3]  3. BUHIMSCHI C, BOYLE M B, GARFIELD R E. Electrical activity of the human uterus during pregnancy as recorded from the abdominal surface. Obstet Gynecol, 1997, 90(1): 102-111.
[4]  4. SHULGIN V, SHEPEL O. Electrohysterographic signals processing for uterine activity detection and characterization// 2014 34th IEEE International Conference on Electronics and Nanotechnology (ELNANO). Kyiv, 2014: 269-272.
[5]  5. HOROBA K, JEZEWSKI J, WROBEL J, et al. Algorithm for detection of uterine contractions from electrohysterogram// 2001 23rd Annual International Conference of the IEEE Engineeringin Medicineand Biology Society. Istanbul, 2001: 2161-2164.
[6]  6. EULIANO T, SKOWRONSKI M, MAROSSERO D, et al. Prediction of intrauterine pressure waveform from transabdominal electrohysterography. J Matern Fetal Neonatal Med, 2006, 19(12): 811-816.
[7]  7. HASSAN M, BOUDAOUD S, TERRIEN J, et al. Combination of canonical correlation analysis and empirical mode decomposition applied to denoising the labor electrohysterogram. IEEE Trans Biomed Eng, 2011, 58(9): 2441-2447.
[8]  8. ALBEROLA-RUBIO J, PRATS-BOLUDA G, YE-LIN Y, et al. Comparison of non-invasive electrohysterographic recording techniques for monitoring uterine dynamics. Med Eng Phys, 2013, 35(12): 1736-1743.
[9]  9. JACOD B C, GRAATSMA E M, VAN HAGEN E, et al. A validation of electrohysterography for uterine activity monitoring during labour. J Matern Fetal Neonatal Med, 2010, 23(1): 17-22.
[10]  10. MANER W L, MACKAY L B, SAADE G R, et al. Characterization of abdominally acquired uterine electrical signals in humans, using a non-linear analytic method. Med Biol Eng Comput, 2006, 44(1/2): 117-123.
[11]  11. RADHAKRISHNAN N, WILSON J D, LOWERY C, et al. A fast algorithm for detecting contractions in uterine electromyography. IEEE Eng Med Biol Mag, 2000, 19(2): 89-94.
[12]  12. BHATTAD, TZOUN, WELLS J W, et al. Incoherent undersampling-based waveform reconstruction using a time-domain zero-crossing metric. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2015, 23(11): 2357-2370.
[13]  13. MOLINARO A, SERGEYEV Y D. An efficient algorithm for the zero crossing detection in digitized measurement signal. Measurement, 2001, 30(3): 187-196.
[14]  14. 刘国宏, 郭文明. 改进的中值滤波去噪算法应用分析. 计算机工程与应用, 2010, 46(10): 187-189.
[15]  15. DONG Y Q, XU S F. A new directional weighted median filter for removal of random-valued impulse noise. IEEE Signal Processing Letters, 2007, 14(3): 193-196.
[16]  16. PAN Meisen, TANG Jingtian, YANG Xiaoli. An adaptive median filter algorithm based on B-spline function. International Journal of Automation and Computing, 2011, 8(1): 92-99.
[17]  17. 蔡坤. 围产期子宫活动监护新方法的研究. 广州: 暨南大学, 2004.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133