2021 International Symposium on Biomedical Engineering and Computational Biology最新文献_第4页

A Lean Six Sigma approach to improve the Emergency Department of University Hospital “San Giovanni di Dio e Ruggi d'Aragona” 精益六西格玛改进圣乔瓦尼迪迪奥鲁吉达阿拉戈纳大学医院急诊科

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3503638

G. Improta, C. Lauri, Antonio Della Vecchia, A. Borrelli, Giuseppe Russo, M. Triassi

引用次数: 10

A Statistical Method for Footprints Analysis based on Large-scale High-density Piezoresistive Films 基于大规模高密度压阻膜的足迹分析统计方法

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3502148

Bo Wang, Chengxiang Liu, Peng Shang

引用次数: 2

The Effect of Collagen Coating on Surface Biocompatibility of the Titanium Alloys 胶原涂层对钛合金表面生物相容性的影响

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3502144

Jianping Gao, Saina Li, Lun Zhang, Yang Zhang, Yi Chen, Fangyu Xing, Yingjun Kong, Xi Luo, Guifeng Zhang

引用次数: 0

Modelling the hospital length of stay for patients undergoing laparoscopic appendectomy through a Multiple Regression Model 通过多元回归模型模拟腹腔镜阑尾切除术患者的住院时间

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3503644

Teresa Angela Trunfio, A. Scala, Cristiana Giglio, Giovanni Rossi, A. Borrelli, P. Gargiulo, Maria Romano

引用次数: 4

The Impact of Covid-19 on the Length of Stay of the Plastic Surgery Department 新冠肺炎疫情对整形外科住院时间的影响

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3503654

Teresa Angela Trunfio, A. Scala, Cristiana Giglio, Giuseppe Ferrucci, A. Borrelli, P. Gargiulo

{"title":"The Impact of Covid-19 on the Length of Stay of the Plastic Surgery Department","authors":"Teresa Angela Trunfio, A. Scala, Cristiana Giglio, Giuseppe Ferrucci, A. Borrelli, P. Gargiulo","doi":"10.1145/3502060.3503654","DOIUrl":"https://doi.org/10.1145/3502060.3503654","url":null,"abstract":"The new COVID-19 disease has swept the world in recent months, causing enormous disruption to social, economic and health systems. Given the diversity of international health systems and conditions differ from one location to another. In all cases, however, it was decided to limit the elective surgical practices considered non-urgent. Plastic surgery departments have also seen a change in their normal business. The aim of this study was to investigate how the pandemic changed the activity of the Plastic Surgery Department of the \"San Giovanni di Dio and Ruggi d'Aragona\" University Hospital in Salerno (Italy). In particular, starting from the hospital discharge forms for the two-year period 2019-2020, Gender, Age, Date of admission, Date of discharge, Diagnostic Related Group (DRG) weight and Hospital admission procedures for patients were extracted. Statistical analysis and logistic regression were used to compare the activity of 2019, used in this study as a reference, with that of 2020 in the midst of the pandemic. The analysis showed a statically significant reduction in the Length of Stay (LOS), thus improving appropriateness and achieving a reduction in spending.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122355327","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

Molecular Analysis of Yeasts Isolated from Daimyo Oak (Quercus dentata Thunb.) Trees in Yunan, China 大名橡树酵母菌的分子分析中国云南的树木

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3510448

Zhiming Zhang, Fang-xian Zhu, Xiaozhen Liu, Hanyao Zhang

引用次数: 0

Impact of diagnostic techniques on the length of stay in emergency medicine 诊断技术对急诊住院时间的影响

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3503653

Martina Profeta, G. Cesarelli, Cristiana Giglio, Giovanni Rossi, A. Borrelli, Francesco Amato, Maria Romano

{"title":"Impact of diagnostic techniques on the length of stay in emergency medicine","authors":"Martina Profeta, G. Cesarelli, Cristiana Giglio, Giovanni Rossi, A. Borrelli, Francesco Amato, Maria Romano","doi":"10.1145/3502060.3503653","DOIUrl":"https://doi.org/10.1145/3502060.3503653","url":null,"abstract":"Emergency medicine is a new discipline that is rapidly developing and spreading in medical practice. The central themes of emergency medicine are resuscitation, laboratory and diagnostic imaging. In the emergency department, different parameters can be associated with a prolonged Length of Stay (LOS) as, for example; the protact use of computed tomography (TAC), radiology techniques, the need for advice from external consultants (1). To improve the efficiency of the emergency department and the assessment effectiveness of the state of healthy patient, it is important to identify the factors that affect the LOS (2).This work was based on the evaluation of the impact of demographic factors, clinical information and diagnostic techniques on the LOS in emergency medicine (LOS-ED). The dataset was carried out at the Emergency Medicine Unit of the hospital “San Giovanni di Dio e Ruggi d'Aragona” of Salerno. Multiple Linear Regression model was optimized considering the hospital stay after diagnostic procedures (dLOS) as dependent variable.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133941797","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: 0

Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery 回归和机器学习分析预测髋关节置换手术患者的住院时间

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3503616

C. Ponsiglione, Teresa Angela Trunfio, F. Bruno, A. Borrelli

{"title":"Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery","authors":"C. Ponsiglione, Teresa Angela Trunfio, F. Bruno, A. Borrelli","doi":"10.1145/3502060.3503616","DOIUrl":"https://doi.org/10.1145/3502060.3503616","url":null,"abstract":"Hip fracture is a serious injury associated with adverse outcomes, including mortality. It occurs mainly in older patients and is often associated with other collateral pathologies. Its treatment generally involves a surgical operation. This could lead to various complications due to long-term hospitalization and low motor capacity. All these cause complications that extend far beyond the orthopaedic injury, with negative impacts on the patient’s quality of life and health care economics. In this contest, the main goal of our work was to identify some of the most relevant parameters to take in account for the treatment of patients with hip fracture. Our analysis involved the 456 patients who were operated on fracture to the hip in 2019 and 2020 at the Complex Operative Unit (C.O.U.) of Orthopaedic and Traumatology of the University Hospital \"San Giovanni di Dio e Ruggi d’Aragona\" of Salerno. Through the implementation of various algorithms, our aim was to formulate a specific model that could best predict the target value of patients.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186358","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

Tinnitus Recognition by EEG signals Based on Wavelet Transform and Deep Neural Networks 基于小波变换和深度神经网络的脑电信号耳鸣识别

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3502145

Su Zhou, Cui Su

{"title":"Tinnitus Recognition by EEG signals Based on Wavelet Transform and Deep Neural Networks","authors":"Su Zhou, Cui Su","doi":"10.1145/3502060.3502145","DOIUrl":"https://doi.org/10.1145/3502060.3502145","url":null,"abstract":"Tinnitus seriously affects the physical and mental health of patients. Some progress has been made in the study of the electrophysiological mechanism of tinnitus. The purpose of this paper is to study the identification of tinnitus by means of EEG signal analysis. Firstly, the wavelet transform was used to extract the four frequency components of δ(0.5-3.5Hz), θ(4-7.5Hz), α(8-12Hz) and β(13-30Hz) in EEG signals. Then, the power spectrum entropy of each frequency band was calculated as the eigenvalue, and the deep neural networks (DNN) model were established to train the eigenvalues. The input layer of DNN has been a 4-dimensional eigenvector. The middle layer with two hidden layers, contained 8 neurons of each layer, in which ReLU function was adopted as activation function. In the output layer, Sigmoid function was used to classify EEG signals. Resting state EEG signals were extracted from the left middle temporal lobe of 26 subjects, and classified by three neural network models of DNN, CNN and RNN, of which the DNN with the highest classification accuracy, reaching 92%. In conclusion, there has been a certain correlation between resting state EEG signals and tinnitus, and DNN model shows a certain auxiliary diagnostic value in tinnitus recognition.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128045901","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: 2

Long-Term Clinical Repair of Endodontic Perforations with Calcium Silicate-Based Cements 硅酸钙基骨水泥修复牙髓穿孔的长期临床研究

2021 International Symposium on Biomedical Engineering and Computational Biology Pub Date : 2021-08-13 DOI: 10.1145/3502060.3502319

Y. Kouzmanova, I. Dimitrova, Desislava Tsanova-Tosheva

引用次数: 0