Department of Neurosurgery, Shengjing Hospital of China Medical University, Liaoning 110000, Shenyang, China.
Third Department of Neurology Ward, Shengjing Hospital Affiliated to China Medical University, Liaoning 110000, Shenyang, China.
Contrast Media Mol Imaging. 2022 May 31;2022:3936655. doi: 10.1155/2022/3936655. eCollection 2022.
The aim of this study is to analyze the application of early rehabilitation nursing in nursing intervention of neurological impairment among patients with acute ischemic stroke. 116 patients with acute ischemic stroke were selected as the research subjects in this paper. The patients were divided into 58 experimental (early rehabilitation care) and 58 control (routine rehabilitation care) groups according to the difference of care protocols, all of which were performed magnetic resonance imaging on. An image resolution reconstruction algorithm on the basis of deep convolutional neural network is proposed for MRI image processing. The results show that peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) of the included algorithm were remarkably greater than those of compressed sensing (CS) algorithm and nonlocal similarity and block low rank prior-based NSBL algorithm. Running time was shorter than that of the latter two algorithms ( < 0.05). The neurological impairment scores of patients in the experimental group 3 and 5 weeks after treatment were obviously lower than those of patients in the control group ( < 0.05). The Barthel indexes of patients in the experimental group 3 and 5 weeks after treatment were obviously higher than those of patients in the control group ( < 0.05). FugI-Meyer assessment (FMA) and Disability of Arm-Shoulder-Hand (DASH) scores of patients in the experimental group 3 and 5 weeks after treatment were obviously lower than those of patients in control group ( < 0.05). The results show that the deep learning algorithm for MRI image processing performance is better than the traditional algorithm. It not only improves the image quality but also improves the processing efficiency. Early rehabilitation nursing and routine rehabilitation nursing can effectively improve the neurological deficit symptoms, limb motor function, and daily living ability of patients with acute ischemic stroke, and the effect of early rehabilitation nursing is the best.
本研究旨在分析早期康复护理在急性缺血性脑卒中患者神经功能缺损护理干预中的应用。本文选取 116 例急性缺血性脑卒中患者为研究对象，根据护理方案的差异分为实验组（早期康复护理）和对照组（常规康复护理）各 58 例，均行磁共振成像检查。针对 MRI 图像处理提出了一种基于深度卷积神经网络的图像分辨率重建算法。结果表明，所提算法的峰值信噪比（PSNR）和结构相似性指数测量（SSIM）均明显大于压缩感知（CS）算法和非局部相似性和块低秩先验的 NSBL 算法。运行时间短于后两种算法（ < 0.05）。治疗后 3、5 周实验组患者的神经功能缺损评分明显低于对照组（ < 0.05）。治疗后 3、5 周实验组患者的巴氏指数明显高于对照组（ < 0.05）。治疗后 3、5 周实验组患者的 FugI-Meyer 评估（FMA）和手臂、肩部和手残疾（DASH）评分明显低于对照组（ < 0.05）。结果表明，用于 MRI 图像处理的深度学习算法性能优于传统算法。它不仅提高了图像质量，而且提高了处理效率。早期康复护理和常规康复护理均可有效改善急性缺血性脑卒中患者的神经功能缺损症状、肢体运动功能和日常生活能力，早期康复护理效果最佳。
