School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China.
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
Curr Drug Targets. 2021;22(6):672-684. doi: 10.2174/1389450121666201027125828.
Lack of adequate sleep is a major source of many harmful diseases related to heart, brain, psychological changes, high blood pressure, diabetes, weight gain, etc. 40 to 50% of the world's population is suffering from poor or inadequate sleep. Insomnia is a sleep disorder in which an individual complaint of difficulties in starting/continuing sleep at least four weeks regularly. It is estimated that 70% of heart diseases are generated during insomnia sleep disorder. The main objective of this study is to determine all work conducted on insomnia detection and to make a database. We used two procedures including network visualization techniques on two databases including PubMed and Web of Science to complete this study. We found 169 and 36 previous publications of insomnia detection in the PubMed and the Web of Science databases, respectively. We analyzed 10 datasets, 2 databases, 21 genes, and 23 publications with 30105 subjects of insomnia detection. This work has revealed the future way and gap so far directed on insomnia detection and has also tried to provide objectives for the future work to be proficient in a scientific and significant manner.
睡眠不足是许多与心脏、大脑、心理变化、高血压、糖尿病、体重增加等相关的有害疾病的主要来源。世界上 40%到 50%的人口都存在睡眠不佳或不足的问题。失眠是一种睡眠障碍,个体抱怨至少每周有四周出现入睡困难或难以维持睡眠。据估计,70%的心脏病是在失眠睡眠障碍期间产生的。本研究的主要目的是确定所有关于失眠检测的工作,并建立一个数据库。我们使用了包括网络可视化技术在内的两种程序,分别针对包括 PubMed 和 Web of Science 在内的两个数据库进行了研究。我们在 PubMed 和 Web of Science 数据库中分别找到了 169 和 36 篇关于失眠检测的先前出版物。我们分析了 10 个数据集、2 个数据库、21 个基因和 23 篇关于失眠检测的出版物,涉及 30105 名受试者。这项工作揭示了迄今为止针对失眠检测的未来方向和差距,并试图为未来的工作提供目标,以便以科学和有意义的方式取得进展。