Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering最新文献_第4页

An Automatic Sleep Staging Method Using a Multi-head and Sequence Network 一种基于多头序列网络的自动睡眠分期方法

Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering Pub Date : 2020-07-21 DOI: 10.1145/3403782.3403797

Qing Wang, Shan Wang, Na Wu, Li-Qun Xu

{"title":"An Automatic Sleep Staging Method Using a Multi-head and Sequence Network","authors":"Qing Wang, Shan Wang, Na Wu, Li-Qun Xu","doi":"10.1145/3403782.3403797","DOIUrl":"https://doi.org/10.1145/3403782.3403797","url":null,"abstract":"Sleep plays an important role in human life and sleep disorders are becoming a major public health issue. Identifying the sleep stages correctly with the polysomnogram, which is a collection of relevant physiological signals recorded during sleep, helps clinicians diagnose and treat sleep disorders. Nevertheless, the manual process of performing such a sleep staging task is very time consuming and prone to technicians' labeling errors. To tackle these issues, there have been many efforts in designing various machine learning/ deep learning-based automated methods for sleep staging over the past years, this paper proposed an innovative automatic sleep staging method based on a hybrid multi-head and sequence network architecture. Different from previous works, this method extracted multi-modality features from EEG and EOG with the multi-head CNNs and then integrated them with heuristic weights obtained through experiments. Moreover, the joint loss function based on cross entropy loss function was also applied, wherein multiple embedded losses were added simultaneously and propagated backward. We tested our method using the popular public dataset \"Sleep-EDF[Expanded]\" from the PhysioNet website. The best result showed an accuracy of 91.76% and Cohen's kappa value over 0.836 compared with human experts, which had competitive advantages over most of previous research results using automated methods on the same dataset.","PeriodicalId":260405,"journal":{"name":"Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Kisspeptin and Gynecological Cancer Kisspeptin与妇科癌症

Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering Pub Date : 2020-07-21 DOI: 10.1145/3403782.3403796

Bushangqing Liu

引用次数: 1

Fish Collagen Promotes Proliferation and Inhibits the Inflammation in Human Epidermal Keratinocytes in Vitro 鱼胶原蛋白促进体外人表皮角质形成细胞增殖和抑制炎症

Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering Pub Date : 2020-07-21 DOI: 10.1145/3403782.3403811

Chao Liu, Jiao Sun

{"title":"Fish Collagen Promotes Proliferation and Inhibits the Inflammation in Human Epidermal Keratinocytes in Vitro","authors":"Chao Liu, Jiao Sun","doi":"10.1145/3403782.3403811","DOIUrl":"https://doi.org/10.1145/3403782.3403811","url":null,"abstract":"As a new collagen-based material, fish collagen has gradually captured people's attention in recent years. At present, fish collagen has been widely used in the fields of food, cosmetics and medicine, but regarding it research in the field of biomaterials, especially as an anti-inflammatory wound dressing, has not yet been carried out. This study elaborated on fish collagen and human epidermal keratinocytes (HaCaT cells). The effect of fish collagen on the proliferation of human epidermal keratinocytes was studied by employing the MTT (3-[4, 5-dimethylthiazol-2-yl]-2, 5 diphenyl tetrazolium bromide) assay. The effect of fish collagen on the secretion of inflammation factors Interleukin-6 (IL-6), Interleukin-8 (IL-8) and Tumor necrosis factor (TNF)-ą in human epidermal keratinocytes was studied using the Enzyme-Linked Immunosorbent Assay (ELISA); furthermore, the effect of fish collagen on the expression of inflammation-related genes IL-6, IL-8 and TNF-ą in human epidermal keratinocytes was studied by Quantitative Real-Time PCR (qRT-PCR). The results showed that fish collagen can promote the proliferation of HaCaT cells, inhibit the excessive secretion of LPS-stimulated inflammatory factors IL-6, IL-8 and TNF-ą, and also inhibit the expression of inflammation-related genes IL-6, IL-8 and TNF-ą. The above results indicate that fish collagen has the potential to act as an active additive for anti-inflammatory wound dressing.","PeriodicalId":260405,"journal":{"name":"Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129574789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Improved Algorithm for Estimating the Distribution of RNA-related Genomic Features 一种估计rna相关基因组特征分布的改进算法

Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering Pub Date : 2020-07-03 DOI: 10.1145/3403782.3403785

Jing Wu, Lihan Zhang, Yuanzhe Wang, Jia Meng, Jionglong Su, Yue Wang

引用次数: 0

Diffuse Optical Tomography for Human Brain Based on Highly Cost-effective Instruments 基于高性价比仪器的人脑漫射光学断层扫描

Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering Pub Date : 2020-07-03 DOI: 10.1145/3403782.3403792

L. Su, Huabei Jiang

引用次数: 0