Cerebral NIRS patterns in late preterm and very preterm infants becoming late preterm

Grometto, Alice; Pizzo, Benedetta; Strozzi, Maria Chiara; Gazzolo, Francesca; Gazzolo, Diego

doi:10.1080/14767058.2017.1401605

Cited by 11 publications

(13 citation statements)

References 28 publications

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“…Fetal heart detection is a physical detection method to detect whether the fetal body is functioning well. It can make a good prediction of the health of the fetus in the womb of a pregnant woman, and it can also effectively observe the fetal movement in the case of uterine contractions [15,16]. e application of AI medical system in DUS images processing reduces the incidence of clinically unsafe accidents.…”

Section: Discussionmentioning

confidence: 99%

Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm

Liu

Sun

Luo

2021

Journal of Healthcare Engineering

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This study was to improve the feasibility and economic benefits of intelligent medical system Doppler ultrasound (DUS) imaging technology combined with fetal heart detection to predict the fetal distress in pregnancy-induced hypertension (PIH), so as to reduce the risk of deterioration of the patient’s condition. The characteristics of DUS images were analyzed, and a diffusion filter reducing the specificity was adopted to improve the smooth speckle noise of DUS images. 120 pregnant women in hospital were the subjects of the study, all of whom received ultrasound cord blood flow testing and fetal heart monitoring. 88 PIH patients with fetal distress were diagnosed and included in the observation group, and 32 healthy pregnant women tested during the same period were identified as the control group. Clinical data were reviewed and analyzed. The diagnostic rates of fetal distress by simple fetal heart monitoring and DUS detection combined with fetal heart monitoring were compared. The results showed that 26.7% of fetal distress were diagnosed by fetal heart monitoring alone, and 73.3% of fetal distress were diagnosed by combined testing, so the diagnostic accuracy of the combined detection method was greatly higher than the single fetal heart detection ( P < 0.05 ). The Pulsatility index (PI), resistance index (RI), and S/D values detected by the umbilical artery in the observation group were 1.48, 0.85, and 4.31, respectively. The PI, RI, and S/D values detected by the umbilical artery in the control group were 0.96, 0.64, and 3.59, respectively. The results of arterial detection were significantly higher than those of the control group, and the difference was of significant scientific significance ( P < 0.05 ). In summary, the PI and RI values of the middle cerebral artery (MCA) detected by DUS diagnosis can effectively reflect the current status of the fetus in the uterus and reduce the mortality of the fetus. The images guided by DUS imaging technology can clearly show the current status of the fetus in the uterus, effectively improve the medical diagnostic efficiency, and have important reference value for the development of intelligent medical equipment.

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Section: Discussionmentioning

confidence: 99%

Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm

Liu

Sun

Luo

2021

Journal of Healthcare Engineering

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“…R = [(S 2P À S 2LED ) À (S 1P À S 1LED )]/(S 1P À S 1LED ) (6) where S 2P is the intensity after Fourier transform of watery orange peel under illumination of white LED (blue chip + phosphors), S 2LED is the intensity after Fourier transform of watery orange peel under illumination with different LEDs, S 1P is the intensity after Fourier transform of water-strained orange peel under blue-chip + phosphor illumination, and S 1LED is the intensity after Fourier transform of water-strained orange peel under different LED illumination. The R value was calculated to be about 30%, indicating that the use of NIR pc-LEDs can improve the signal strength by at least 30%.…”

Section: Applications In Nir Pc-ledsmentioning

confidence: 99%

“…Owing to its unmatched merits in analysis, such as rapid, on-site and non-invasive processes, NIR spectroscopy (NIRS) has been widely applied in agriculture, 1 food, 2,3 pharmaceuticals, 4,5 medicine, 6 environmental protection sectors, 7,8 etc. The NIRS technique is sensitive to chemical compounds containing O-H, C-H, and N-H groups; thus, it is perfectly suited for quality supervision.…”

Section: Introductionmentioning

confidence: 99%

Broadband near-infrared (NIR) emission realized by the crystal-field engineering of Y_3−xCa_xAl_5−xSi_xO₁₂:Cr³⁺(x= 0–2.0) garnet phosphors

et al. 2020

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“…However, because preterm infants are more sensitive to infection, hypoxia, ischemia, and inflammation, the risk of brain damage is also higher. In severe cases, it may even threaten the life of preterm infants [ 1 ]. To successfully reduce preterm baby mortality and enhance their quality of life, it is essential to establish EEG monitoring in time for preterm babies, identify their brain damage symptoms as soon as feasible, implement treatments as soon as possible, and conduct prognosis evaluations [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction Effect of Amplitude-Integrated EEG on the Brain Damage and Long-Term Nervous System Development of Late Preterm Infants

Shan

Zhang

et al. 2021

Journal of Healthcare Engineering

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In order to explore the prediction effect of amplitude-integrated EEG on the brain damage and long-term nervous system development of late preterm infants, this paper uses the hospital’s late preterm infants as the research object and analyzes the prediction effect of amplitude-integrated EEG on the brain damage and long-term nervous system development of late preterm infants through controlled trials. Among them, the test group used amplitude-integrated EEG for prediction analysis, and the control group used traditional clinical prediction methods. Furthermore, the real-time monitoring and short-term prediction effects of amplitude-integrated EEG on brain damage in late preterm babies and the prediction impact on long-term nervous system development are evaluated in this study. It incorporates statistical techniques to evaluate the findings statistically. In addition, a nonparametric rank-sum test is used in this work, and a chi-square test is used to compare enumeration data across groups. Through experimental research, it can be seen that the amplitude-integrated EEG has a pronounced prediction effect on the brain damage and long-term nervous system development of late preterm infants, and the effect is higher than that of the traditional clinical prediction methods.

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Cerebral NIRS patterns in late preterm and very preterm infants becoming late preterm

Cited by 11 publications

References 28 publications

Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm

Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm

Broadband near-infrared (NIR) emission realized by the crystal-field engineering of Y_3−xCa_xAl_5−xSi_xO₁₂:Cr³⁺(x= 0–2.0) garnet phosphors

Prediction Effect of Amplitude-Integrated EEG on the Brain Damage and Long-Term Nervous System Development of Late Preterm Infants

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Cerebral NIRS patterns in late preterm and very preterm infants becoming late preterm

Cited by 11 publications

References 28 publications

Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm

Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm

Broadband near-infrared (NIR) emission realized by the crystal-field engineering of Y3−xCaxAl5−xSixO12:Cr3+(x= 0–2.0) garnet phosphors

Prediction Effect of Amplitude-Integrated EEG on the Brain Damage and Long-Term Nervous System Development of Late Preterm Infants

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Broadband near-infrared (NIR) emission realized by the crystal-field engineering of Y_3−xCa_xAl_5−xSi_xO₁₂:Cr³⁺(x= 0–2.0) garnet phosphors