Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm

This work was aimed to study the analgesic effect of pudendal nerve block on obstetrics and gynecology under the guidance of ultrasound image based on optimized fast super resolution reconstructed convolutional neural network (FSRCNN) algorithm. A total of 110 primiparas from hospital who gave birth...

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Autores principales:	Shanni Zhang, Xiaoying Zhao, Guixu Zhao, Linyi Zhang, Yufang Xiu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/c47bc7b0ad2a4c0d8b46b03c30f04b69
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spelling	oai:doaj.org-article:c47bc7b0ad2a4c0d8b46b03c30f04b692021-11-22T01:10:16ZUltrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm1875-919X10.1155/2021/4768673https://doaj.org/article/c47bc7b0ad2a4c0d8b46b03c30f04b692021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4768673https://doaj.org/toc/1875-919XThis work was aimed to study the analgesic effect of pudendal nerve block on obstetrics and gynecology under the guidance of ultrasound image based on optimized fast super resolution reconstructed convolutional neural network (FSRCNN) algorithm. A total of 110 primiparas from hospital who gave birth through vagina were randomly rolled into experimental group (55 cases) and control group (55 cases). The optimized FSRCNN algorithm was constructed, compared with the FSRCNN algorithm and the Bicubic algorithm and applied to 110 cases of maternal patients undergoing perineotomy under ultrasound image-guided pudendal nerve block. Visual analogue scoring (VAS), incision suture pain VAS score, occurrence of complications, puerpera labor time, and newborn weight were recorded and compared, so did Apgar score of newborns, numbness of maternal thigh, recovery of puncture site, and satisfaction of maternal analgesia. The results showed that the peak signal-to-noise ratio (PSNR) of the high-resolution image reconstructed by the FSRCNN algorithm was 32.68 dB and that reconstructed by the optimized FSRCNN algorithm was 32.19 dB. The PSNR of the Bicubic algorithm processed image was 28.51 dB. In the lateral resection of episiotomy in the second stage of labor, the visual analog score (2.3 ± 1.5 points) of the experimental group was inferior to that of the control group (7.1 ± 2.6 points) (P<0.05). The visual analogue score of stitch pain (1.3 ± 0.8 points) was also inferior to that of the control group (5.2 ± 1.9 points) (P<0.05). Moreover, the satisfaction of the parturients in the experimental group (9.86 ± 0.41 points) was considerably superior to that of the control group (7.36 ± 1.25 points) (P<0.05). In short, the optimized FSRCNN algorithm had a short training time and good reconstruction effect. Ultrasound-guided pudendal nerve block had a substantial analgesic effect on the second stage of labor and improved parturients’ satisfaction.Shanni ZhangXiaoying ZhaoGuixu ZhaoLinyi ZhangYufang XiuHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Shanni Zhang Xiaoying Zhao Guixu Zhao Linyi Zhang Yufang Xiu Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm
description	This work was aimed to study the analgesic effect of pudendal nerve block on obstetrics and gynecology under the guidance of ultrasound image based on optimized fast super resolution reconstructed convolutional neural network (FSRCNN) algorithm. A total of 110 primiparas from hospital who gave birth through vagina were randomly rolled into experimental group (55 cases) and control group (55 cases). The optimized FSRCNN algorithm was constructed, compared with the FSRCNN algorithm and the Bicubic algorithm and applied to 110 cases of maternal patients undergoing perineotomy under ultrasound image-guided pudendal nerve block. Visual analogue scoring (VAS), incision suture pain VAS score, occurrence of complications, puerpera labor time, and newborn weight were recorded and compared, so did Apgar score of newborns, numbness of maternal thigh, recovery of puncture site, and satisfaction of maternal analgesia. The results showed that the peak signal-to-noise ratio (PSNR) of the high-resolution image reconstructed by the FSRCNN algorithm was 32.68 dB and that reconstructed by the optimized FSRCNN algorithm was 32.19 dB. The PSNR of the Bicubic algorithm processed image was 28.51 dB. In the lateral resection of episiotomy in the second stage of labor, the visual analog score (2.3 ± 1.5 points) of the experimental group was inferior to that of the control group (7.1 ± 2.6 points) (P<0.05). The visual analogue score of stitch pain (1.3 ± 0.8 points) was also inferior to that of the control group (5.2 ± 1.9 points) (P<0.05). Moreover, the satisfaction of the parturients in the experimental group (9.86 ± 0.41 points) was considerably superior to that of the control group (7.36 ± 1.25 points) (P<0.05). In short, the optimized FSRCNN algorithm had a short training time and good reconstruction effect. Ultrasound-guided pudendal nerve block had a substantial analgesic effect on the second stage of labor and improved parturients’ satisfaction.
format	article
author	Shanni Zhang Xiaoying Zhao Guixu Zhao Linyi Zhang Yufang Xiu
author_facet	Shanni Zhang Xiaoying Zhao Guixu Zhao Linyi Zhang Yufang Xiu
author_sort	Shanni Zhang
title	Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm
title_short	Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm
title_full	Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm
title_fullStr	Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm
title_full_unstemmed	Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm
title_sort	ultrasound image-guided pudendal nerve block on analgesic effect of perineotomy under optimized fast super resolution reconstructed convolutional neural network algorithm
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/c47bc7b0ad2a4c0d8b46b03c30f04b69
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_version_	1718418367538266112

Ultrasound Image-Guided Pudendal Nerve Block on Analgesic Effect of Perineotomy under Optimized Fast Super Resolution Reconstructed Convolutional Neural Network Algorithm

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