Abstract
This paper describes two simple algorithms for detection of uterine contractions during labour using the uterine electromyogram recorded from the abdominal surface. The location of a contraction is extracted from the signal’s energy using either an amplitude- or derivative-based algorithm. For our recordings, these algorithms managed to correctly locate the majority of contractions, with an average success rate of 87.4% for the derivative-based algorithm and 85.6% for the amplitude-based algorithm.
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References
Garfield R.E. et al. (2002) Uterine Electromyography and Lightinduced Fluorescence in the Management of Term and Preterm Labor. J Soc Gynecol Investig, vol. 9, no. 5, pp 265–275.
Maner W., Garfield R.E. (2007) Identification of Human Term and preterm Labor using Artificial Neural Networks on Uterine Electromyography Data. Ann Biomed Eng. , vol. 35, no. 3., pp 465473.
Khalil M., Duchene J. (2000) Uterine EMG Analysis: A Dynamic Approach for Change Detection and Classification. IEEE Trans Biomed Eng., vol. 47, no. 6, pp 748–756.
Pajntar M. et al. (1987) Electromyographic observations on the human cervix during labor. Am J Obstet Gynecol, vol. 156, no. 3, pp 691–697.
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Macek-Lebar, A., Novak, D., Rudel, D., Jarm, T. (2007). Detection of contractions during labour using the uterine electromyogram. In: Jarm, T., Kramar, P., Zupanic, A. (eds) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007. IFMBE Proceedings, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73044-6_37
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DOI: https://doi.org/10.1007/978-3-540-73044-6_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73043-9
Online ISBN: 978-3-540-73044-6
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