Literature DB >> 33791085

Clinical Study on Electronic Medical Neuroelectric Stimulation Based on the Internet of Things to Treat Epilepsy Patients with Anxiety and Depression.

Bo Zhang1, Weijie Wang1, Shenguo Wang1, Shaoping Li1, Mingchao Liu1, Lantian Wang1, Caijun Yang1.   

Abstract

With the continuous development and improvement of the level of medical technology in our country in recent years, the treatment of epilepsy has been constantly updated and developed. Nerve electrical stimulation is considered to be a very effective method for treating epilepsy with anxiety and depression. There are many traditional methods for the treatment of epilepsy. For example, vagus nerve stimulation (VNS) has been applied earlier, and the therapeutic effect has been confirmed, but it will cause serious complications and is easier to be uncomfortable; deep brain stimulation for epilepsy is still in the immature stage, and there is no final conclusion. Therefore, this article proposes a clinical study on the treatment of patients with epilepsy with anxiety and depression based on the electronic medical nerve stimulation of the Internet of Things. First of all, this article uses the literature method to study the causes of epilepsy and previous treatment methods. Then, we designed an experimental study of epilepsy with depression based on the Internet of Things electronic medical neuroelectric stimulation therapy and selected the core quality of life questionnaire, SDS, and SAS as observation indicators. Finally, the comparison of epilepsy symptoms and depression and anxiety between the control group and the observation group before and after treatment was analyzed. The results of the experiment showed that, among the 50 subjects in the study, the observation group that used electrical nerve stimulation therapy had 5 people who stopped seizures after treatment, accounting for 10%, while in the control group of traditional drug treatment methods, after treatment, only one person stopped the seizure, accounting for 2%. In addition, the SAS and SDS scores of the observation group were also lower than those of the control group. Therefore, the use of nerve electrical stimulation to treat epilepsy with anxiety and depression symptoms has better performance and can help patients recover as soon as possible.
Copyright © 2021 Bo Zhang et al.

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Year:  2021        PMID: 33791085      PMCID: PMC7994104          DOI: 10.1155/2021/6667309

Source DB:  PubMed          Journal:  J Healthc Eng        ISSN: 2040-2295            Impact factor:   2.682


  15 in total

Review 1.  Hemodynamic Effects Induced by Transcutaneous Electrical Nerve Stimulation in Apparently Healthy Individuals: A Systematic Review With Meta-Analysis.

Authors:  Filippe V Campos; Laura M Neves; Vinicius Z Da Silva; Graziella F Cipriano; Gaspar R Chiappa; Lawrence Cahalin; Ross Arena; Gerson Cipriano
Journal:  Arch Phys Med Rehabil       Date:  2015-09-15       Impact factor: 3.966

2.  The impact of anxiety, seizure severity, executive dysfunction, subjectively perceived psychological deficits, and depression on social function in patients with epilepsy.

Authors:  Christina Kampf; Uwe Walter; Johannes Rösche
Journal:  Epilepsy Behav       Date:  2016-02-19       Impact factor: 2.937

3.  [Effects of temporal lobe epilepsy and idiopathic epilepsy on cognitive function and emotion in children].

Authors:  Xiao-Yan Yang; Li-Li Long; Bo Xiao
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2016-07

4.  Effects of low-frequency repetitive transcranial magnetic stimulation on depression- and anxiety-like behaviors in epileptic rats.

Authors:  Shun Wang; Shanping Mao; Baozhen Yao; Dan Xiang; Congcong Fang
Journal:  J Integr Neurosci       Date:  2019-09-30       Impact factor: 2.117

5.  A feasibility trial of an Internet-delivered and transdiagnostic cognitive behavioral therapy treatment program for anxiety, depression, and disability among adults with epilepsy.

Authors:  Milena Gandy; Eyal Karin; Vincent J Fogliati; Sarah McDonald; Nick Titov; Blake F Dear
Journal:  Epilepsia       Date:  2016-10-07       Impact factor: 5.864

6.  Advanced Machine-Learning Methods for Brain-Computer Interfacing.

Authors:  Zhihan Lv; Liang Qiao; Qingjun Wang; Francesco Piccialli
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2021-10-07       Impact factor: 3.710

7.  Effect of chronic fluoxetine treatment on audiogenic epilepsy, symptoms of anxiety and depression in rats of four lines.

Authors:  K Yu Sarkissova; I B Fedotova; N M Surina; G M Nikolaev; O V Perepelkina; I I Poletaeva
Journal:  Dokl Biol Sci       Date:  2016-05-20

8.  The use of conventional transcutaneous electrical nerve stimulation in chronic facial myalgia patients.

Authors:  Ilaria De Giorgi; Tommaso Castroflorio; Barbara Sartoris; Andrea Deregibus
Journal:  Clin Oral Investig       Date:  2016-03-22       Impact factor: 3.573

9.  Comparison of the Effects of Transcutaneous Electrical Nerve Stimulation and Low-Level Laser Therapy on Drug-Resistant Temporomandibular Disorders.

Authors:  Fahimeh Rezazadeh; Khadijeh Hajian; Shoaleh Shahidi; Soraya Piroozi
Journal:  J Dent (Shiraz)       Date:  2017-09

10.  Accupuncture-like transcutaneous electrical nerve stimulation therapy success using a commercially available unit 8 years post-radiation for xerostomia: a case report.

Authors:  Austin J Iovoli; Anurag K Singh
Journal:  J Radiother Pract       Date:  2017-05-08
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  1 in total

1.  A Neural Recording and Stimulation Chip with Artifact Suppression for Biomedical Devices.

Authors:  Xu Liu; Juzhe Li; Tao Chen; Wensi Wang; Minkyu Je
Journal:  J Healthc Eng       Date:  2021-08-27       Impact factor: 2.682

  1 in total

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