支持向量机描述芦丁在链脲佐菌素诱导糖尿病模型下的疗效的非线性心率变异性特征

R. K. Sinha, Joyani Das, P. Mazumder, Yogender Aggarwal
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引用次数: 0

摘要

糖尿病(DM)是一种多面性疾病,可导致受试者较高的心血管事件,包括神经元损伤、炎症和氧化应激。它还会引起疾病发作时的自主神经失衡,从而扰乱心脏动力学。本研究通过支持向量机(SVM)预测糖尿病的非线性心率变异性特征,证明芦丁在治疗高血糖引起的炎症中的作用。取雄性Wister大鼠(10-12周龄)的对照组、实验组和治疗组的铅- i心电图。从记录的心电信号中获得669个样本的数据集,并将其作为支持向量机的输入向量。观察结果表明,对照组和实验组的分类准确率为92.9%。此外,与处理组数据集相同的模型显示精确度为7.7%(更接近实验组的样本),而92.3%的样本接近对照组。提示芦丁类药物具有恢复血糖水平和交感迷走神经平衡的作用。非侵入性技术在疾病预后方面的有用性为设计和开发具有成本效益的计算机辅助可穿戴系统提供了方向。然而,对专家临床医生的需求不容忽视。
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NONLINEAR HEART RATE VARIABILITY FEATURES IN DEPICTING THE EFFICACY OF RUTIN UNDER STREPTOZOTOCIN-INDUCED DIABETES MODEL WITH SUPPORT VECTOR MACHINE
Diabetes mellitus (DM) is a multifaceted disease that leads to higher cardiovascular events with neuronal damage, inflammation, and oxidative stress in subjects. It also causes an autonomic imbalance with the onset of the disease which disturbs the cardiac dynamics. This work demonstrates the rutin in treating the inflammation caused by hyperglycemia through nonlinear heart rate variability features in predicting diabetes using a support vector machine (SVM). The lead-I electrocardiogram was acquired from the control, experimental, and treated group of the male Wister rats ([Formula: see text] gm and age 10–12 weeks). A dataset of 669 samples was obtained from the recorded ECG signal and taken as input vectors to the SVM. The observed results presented an accuracy of 92.9% in classifying the control and experimental group. Further, the same model with the treated group dataset showed an accuracy of 7.7% (samples nearer to the experimental group) while 92.3% of samples were close to the control group. The findings suggested the efficacy of rutin drugs in restoring the blood sugar level and the sympathovagal balance. The usefulness of the non-invasive technique in the prognosis of the disease gives direction in the design and development of the computer-aided cost-effective wearable system. However, the need for expert clinicians cannot be ignored.
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来源期刊
Biomedical Engineering: Applications, Basis and Communications
Biomedical Engineering: Applications, Basis and Communications Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.50
自引率
11.10%
发文量
36
审稿时长
4 months
期刊介绍: Biomedical Engineering: Applications, Basis and Communications is an international, interdisciplinary journal aiming at publishing up-to-date contributions on original clinical and basic research in the biomedical engineering. Research of biomedical engineering has grown tremendously in the past few decades. Meanwhile, several outstanding journals in the field have emerged, with different emphases and objectives. We hope this journal will serve as a new forum for both scientists and clinicians to share their ideas and the results of their studies. Biomedical Engineering: Applications, Basis and Communications explores all facets of biomedical engineering, with emphasis on both the clinical and scientific aspects of the study. It covers the fields of bioelectronics, biomaterials, biomechanics, bioinformatics, nano-biological sciences and clinical engineering. The journal fulfils this aim by publishing regular research / clinical articles, short communications, technical notes and review papers. Papers from both basic research and clinical investigations will be considered.
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