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评价自制压迫冷疗在骨科运动障碍患者术后康复中的应用效果。

Evaluation of Application Effect of Self-Made Compression Cold Therapy in Postoperative Rehabilitation of Patients with Orthopedic Dyskinesia.

机构信息

The People's Hospital of Rugao, Nantong, Jiangsu 226500, China.

出版信息

Comput Math Methods Med. 2022 Jul 18;2022:8222933. doi: 10.1155/2022/8222933. eCollection 2022.

Abstract

With the accelerated aging of the population, orthopedic injuries have become more collective. Among them, the incidence of ankle fractures remains high. Surgery is an effective way to treat ankle fractures by utilizing special surgical site, complex anatomical structure, and specific surgical methods. With surgical approach, it is easy for basis postoperative blood loss, pain, swelling, and other problems. After surgery, most patients suffer from symptoms of fear, increased pain sensitivity, and excessive irrational concerns about physical movement or activity. Compression cold therapy combines cold therapy with air pressure therapy to ease local exudation, constrict blood vessels, improve circulation, relieve pain, and control inflammation through the effects of low temperature and pressure. Application during the rehabilitation period can prevent joint swelling, reduce muscle soreness, and promote the functional recovery of limbs, which provides an effective guarantee for postoperative rehabilitation of patients with orthopedic dyskinesia. Based on this, it is very important to evaluate the application and effect of self-made compression cold therapy in postoperative rehabilitation of patients with orthopedic dyskinesia. This work proposes a one-dimensional deep convolutional neural network-based method; DenseNet for analyzing the rehabilitation effect of patients with orthopedic dyskinesia after ankle fracture surgery. The approach is to evaluate the rehabilitation effect of self-made compression cold therapy from the perspectives of feature reuse, attention mechanism, and feature decoupling. Experiments on the dataset show that the proposed neural network has better efficacy evaluation performance. The proposed systematic assessment based on the emerging deep learning network has great significance in healthcare domain, particularly in assessing applicability, side effects, and noninvasiveness of treatment methods.

摘要

随着人口老龄化的加速,骨科损伤变得更加普遍。其中,踝关节骨折的发病率仍然很高。手术是治疗踝关节骨折的有效方法,通过利用特殊的手术部位、复杂的解剖结构和特定的手术方法。通过手术方法,术后容易出现基础失血量增加、疼痛、肿胀等问题。手术后,大多数患者都有恐惧、疼痛敏感性增加以及对身体运动或活动过度不合理担忧等症状。压缩冷疗将冷疗与气压疗法相结合,通过低温和压力的作用缓解局部渗出、收缩血管、改善循环、缓解疼痛和控制炎症。在康复期间应用可以预防关节肿胀、减轻肌肉酸痛,并促进四肢功能恢复,为骨科运动障碍患者术后康复提供有效保障。基于此,评估骨科运动障碍患者术后康复中自制压缩冷疗的应用和效果非常重要。这项工作提出了一种基于一维深度卷积神经网络的方法;使用 DenseNet 分析踝关节骨折手术后骨科运动障碍患者的康复效果。该方法从特征重用、注意力机制和特征解耦的角度评估自制压缩冷疗的康复效果。在数据集上的实验表明,所提出的神经网络具有更好的疗效评估性能。基于新兴深度学习网络的系统评估在医疗保健领域具有重要意义,特别是在评估治疗方法的适用性、副作用和非侵入性方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f841/9313947/b39288628d83/CMMM2022-8222933.001.jpg

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