\n @ARTICLE{Rooijakkers2015,
\n author = {Rooijakkers, Michiel AND Rabotti, Chiara AND de Lau, Hinke AND Oei, S AND Bergmans, Jan AND Mischi, Massimo},
\n title = {Feasibility study of a new method for low-complexity fetal movement detection from abdominal ECG recordings},
\n abstract = {Fetal movement counting can provide valuable information\non the fetal health, as a strong decrease in the number\nof movements can be seen as a precursor to fetal death. Typically,\nassessment of fetal health by fetal movement counting relies\non the maternal perception of fetal activity. The percentage\nof detected movements is strongly subject dependent and with\nundivided attention of the mother varies between 37% to 88%.\nVarious methods to assist in fetal movement detection exist\nbased on a wide spectrum of measurement techniques. However,\nthese are unsuitable for ambulatory or long-term observation. In\nthis paper, a novel low-complexity method for fetal movement\ndetection is presented based on amplitude and shape changes in\nthe abdominally recorded fetal ECG. This method was compared\nto a state-of-the-art method from the literature. Using ultrasoundbased\nmovement annotations as ground truth, the presented\nmethod outperforms the state-of-the-art abdominal-ECG based\nmethod, with a sensitivity, specificity, and accuracy of 56%, 68%,\nand 63%, respectively. Additionally, a significant reduction in\nalgorithm complexity is achieved, possibly enabling continuous\nambulatory fetal movement detection and early detection of\nreduced fetal motility.},
\n keywords = {Biomedical signal processing, continuous ambulatory monitoring, electrocardiography, fetal movement, ultrasound.},
\n pages = {1361 -- 1368},
\n bookTitle = {IEEE Journal of Biomedical and Health Informatics},
\n year = {2015},
month = {Jul.}