{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T07:17:32Z","timestamp":1767165452375,"version":"build-2238731810"},"reference-count":20,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T00:00:00Z","timestamp":1632873600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2021,9,29]]},"abstract":"<jats:p>In order to improve the effective extraction of fetal heart rate and prevent fetal distress in utero, a study of fetal heart rate feature extraction based on wavelet transform to prevent fetal distress in utero was proposed. This paper adopts a fetal heart rate detection method based on the maximum value of the binary wavelet transform modulus. The method is simulated by the Doppler fetal heart signal obtained from the clinic. Compared with the original curve, the transformed curve can roughly see the change rule of the original signal and identify the peak point of the signal, but due to the large disturbance of the peak point, the influence on the computer processing is also great. The periodicity of the transformed signal is greatly enhanced, making it easier to deal with the computation. A total of 300 pregnant women with full-term fetal heart monitoring from January 2018 to January 2020 were selected as the research subjects and divided into the observation group and the control group. The observation group consisted of 100 patients with abnormal fetal heart monitoring, and the control group consisted of 200 patients with normal fetal heart monitoring. The uterine contractions and fetal heart rate were recorded, and the incidence of fetal distress, cesarean section, neonatal asphyxia, and amniotic fluid and fecal contamination were observed. The incidence of fetal distress, cesarean section, neonatal asphyxia, and amniotic fluid fecal stain in the observation group were significantly higher than those in the control group. Fetal heart monitoring can accurately judge the situation of the fetus in pregnant women and timely diagnose the abnormal fetal heart rate, which has a better effect on the prognosis of perinatal infants and can reduce their mortality. It can effectively solve the problems existing in the autocorrelation algorithm and extract the fetal heart rate more accurately. It is an effective improved scheme of fetal heart rate extraction. It is very helpful in preventing fetal distress in utero.<\/jats:p>","DOI":"10.1155\/2021\/7608785","type":"journal-article","created":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T13:57:22Z","timestamp":1633096642000},"page":"1-7","source":"Crossref","is-referenced-by-count":2,"title":["Fetal Heart Rate Extraction Based on Wavelet Transform to Prevent Fetal Distress In Utero"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3833-3874","authenticated-orcid":true,"given":"Mengni","family":"Zhu","sequence":"first","affiliation":[{"name":"Obstetrics Department, Taikang Tongji (Wuhan) Hospital, Wuhan, Hubei 430050, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3290-1642","authenticated-orcid":true,"given":"Liping","family":"Liu","sequence":"additional","affiliation":[{"name":"Obstetrics Department, Taikang Tongji (Wuhan) Hospital, Wuhan, Hubei 430050, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"3","key":"1","first-page":"155","article-title":"Study on the early detection of gastric cancer based on discrete wavelet transformation feature extraction of ft-ir spectra combined with probability neural network","volume":"26","author":"H. Tao","year":"2015","journal-title":"Spectroscopy"},{"issue":"2","key":"2","first-page":"309","article-title":"Effect of planned bed exercise on uterine contractions, fetal heart rate patterns and maternal psychophysiological symptoms of hospitalized high-risk pregnant women","volume":"28","author":"Y. J. Kim","year":"2015","journal-title":"Revista rvore"},{"issue":"2","key":"3","first-page":"276","article-title":"Application of feature extraction method in fault diagnosis based on multi-wavelet coefficients","volume":"35","author":"Z. Zhao","year":"2015","journal-title":"Zhendong Ceshi Yu Zhenduan\/Journal of Vibration, Measurement and Diagnosis"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/37\/3\/387"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1097\/01.aoa.0000557693.21956.19"},{"key":"6","article-title":"Acute and chronic effects of fetal surgery and vagal denervation on heart rate variability (hrv)","volume":"23","author":"C. Herry","year":"2016","journal-title":"Reproductive Sciences"},{"issue":"1","key":"7","first-page":"182","article-title":"Pumping unit fault analysis method based on wavelet transform time-frequency diagram and cnn","volume":"6","author":"P. Li","year":"2020","journal-title":"International Core Journal of Engineering"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2014.0432"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0868-3"},{"issue":"4","key":"10","first-page":"273","article-title":"Robust fetal heart beat detection by applying stationary wavelet transform","volume":"77","author":"B. Hurezeanu","year":"2015","journal-title":"UPB Scientific Bulletin, Series C: Electrical Engineering"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1097\/01.aoa.0000575248.76563.52"},{"issue":"4","key":"12","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1111\/j.1542-474X.2004.94566.x","article-title":"Wavelet\u2010based analysis of heart\u2010rate\u2010dependent ecg features","volume":"9","author":"M. K. Stiles","year":"2015","journal-title":"Annals of Noninvasive Electrocardiology"},{"issue":"6","key":"13","article-title":"Heart rate, perceived exertion, and speech characteristics across cycling exercise intensity levels","volume":"9","author":"E. Lind","year":"2018","journal-title":"International Journal of Exercise Science: Conference proceedings"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.3233\/NPM-180044"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1007\/s40558-018-0104-0"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1007\/s10877-016-9870-4"},{"issue":"11","key":"17","first-page":"144","article-title":"Fetal heart rate monitoring","volume":"20","author":"A. Fox","year":"2015","journal-title":"Seminars in Fetal and Neonatal Medicine"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/s1350-6307(18)31266-4"},{"issue":"11","key":"19","doi-asserted-by":"crossref","first-page":"519","DOI":"10.47102\/annals-acadmedsg.V44N11p519","article-title":"Fetal non-invasive electrocardiography contributes to better diagnostics of fetal distress: a cross-sectional study among patients with pre-eclampsia","volume":"44","author":"I. Lakhno","year":"2015","journal-title":"Annals Academy of Medicine Singapore"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1097\/dbp.0000000000000174"}],"updated-by":[{"DOI":"10.1155\/2023\/9817463","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000},"record-id":"61855"},{"DOI":"10.1155\/2023\/9817463","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000}}],"container-title":["Journal of Healthcare Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2021\/7608785.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2021\/7608785.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2021\/7608785.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T18:41:22Z","timestamp":1673376082000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jhe\/2021\/7608785\/"}},"subtitle":[],"editor":[{"given":"Balakrishnan","family":"Nagaraj","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,9,29]]},"references-count":20,"alternative-id":["7608785","7608785"],"URL":"https:\/\/doi.org\/10.1155\/2021\/7608785","relation":{},"ISSN":["2040-2309","2040-2295"],"issn-type":[{"value":"2040-2309","type":"electronic"},{"value":"2040-2295","type":"print"}],"subject":[],"published":{"date-parts":[[2021,9,29]]}}}