• DocumentCode
    1944350
  • Title

    Algorithm for detection of uterine contractions from electrohysterogram

  • Author

    Horoba, K. ; Jezewski, J. ; Wrobel, J. ; Graczyk, S.

  • Author_Institution
    Inst. of Med. Technol. & Equip., Zabrze, Poland
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2161
  • Abstract
    At present, the most widespread method of monitoring uterine contractions activity during pregnancy and labour is the external tocography method. This mechanical method, however, has limited value resulting from its low accuracy and sensibility. Recent progress in new techniques of perinatal monitoring requires a more precise method of monitoring uterine activity. The most promising seems to be electrohysterography, which consists in the recording of electrical uterine activity by means of electrodes attached to abdominal wall. We made an attempt to evaluate the possibility to replace the traditional mechanical method by this electrical one. We developed methods of extraction of the slow wave from an electrohysterogram. This slow wave corresponds to mechanical signal and can be regarded as a contractions wave. Then, using this wave, the contractions detection can be performed in a similar way as in a conventional tocogram. The results obtained allow one to conclude that there is a close relation between the electrical and mechanical signals of uterine activity. It is manifested by a similar number of contractions detected and a large number of contractions being consistent.
  • Keywords
    bioelectric potentials; medical signal detection; obstetrics; patient monitoring; abdominal wall; contractions number; electrical uterine activity recording; electrohysterography; external tocography method; labour; mechanical signal; medical electrical signals; perinatal monitoring; pregnancy; slow wave; uterine contractions detection algorithm; Abdomen; Biomedical monitoring; Electrodes; Frequency; Patient monitoring; Pregnancy; Pressure measurement; Signal analysis; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1017198
  • Filename
    1017198