A summary of research progress on intelligent information processing methods for pregnant women's remote monitoring
The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:37 |
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| Enthalten in: |
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi - 37(2020), 5 vom: 25. Okt., Seite 910-917 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
Li, Yongming [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial intelligence |
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| Anmerkungen: |
Date Completed 15.01.2021 Date Revised 09.08.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.7507/1001-5515.201912011 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM317089218 |
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| 245 | 1 | 2 | |a A summary of research progress on intelligent information processing methods for pregnant women's remote monitoring |
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| 500 | |a Date Revised 09.08.2023 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a fetal electrocardiograph | |
| 650 | 4 | |a intelligent processing | |
| 650 | 4 | |a maternity monitoring | |
| 700 | 1 | |a Zhang, Yuanfan |e verfasserin |4 aut | |
| 700 | 1 | |a Ye, Changrong |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Pin |e verfasserin |4 aut | |
| 700 | 1 | |a Zeng, Xiaoping |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi |d 1997 |g 37(2020), 5 vom: 25. Okt., Seite 910-917 |w (DE-627)NLM093699425 |x 1001-5515 |7 nnns |
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