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EngRN: Medical Technologies (Topic)最新文献

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Technology-Driven Disruption of Healthcare & 'UI Layer' Privacy-by-Design 技术驱动的医疗保健中断和“UI层”隐私设计
EngRN: Medical Technologies (Topic) Pub Date : 2020-05-27 DOI: 10.2139/ssrn.3611702
Marcelo Corrales Compagnucci, M. Fenwick, Helena Haapio, T. Minssen, E. Vermeulen
{"title":"Technology-Driven Disruption of Healthcare & 'UI Layer' Privacy-by-Design","authors":"Marcelo Corrales Compagnucci, M. Fenwick, Helena Haapio, T. Minssen, E. Vermeulen","doi":"10.2139/ssrn.3611702","DOIUrl":"https://doi.org/10.2139/ssrn.3611702","url":null,"abstract":"The use of digital technologies in healthcare is changing how medical treatments are developed by researchers, applied/practiced by medical professionals and experienced by patients. This article argues that a defining feature of this disruption is the emergence of new medical “apps” that leverage algorithm-based AI systems. As the use of such apps and AI wearables goes mainstream and new players — notably “Super Platforms” with digital rather than a medical expertise — enter the healthcare sector, the traditional means of providing medical services will be further transformed. \u0000 \u0000These developments pose several challenges for regulators and other policymakers, most obviously, in the context of privacy and data protection. Here, we examine how the emerging field of Legal Design can provide a more transparent infrastructure that embeds relevant legal protections in the user interfaces of healthcare products and services. Such a user interface (UI) focused Privacy-by-Design approach offers a number of advantages, most obviously greater transparency, accountability and (consequently) human choice. The article offers several real- world examples of design patterns that illustrate the value of UI focused Privacy-by-Design in protecting individuals’ sensitive information, enabling people to make choices and retain control of their personal data. The piece concludes with some examples and reflects on the challenges specific to implementing Legal Design in an eHealth context.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839736","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: 3
Co-Crystallization with Diabodies: A Universal Method for the Introduction of Synthetic Symmetry 与糖体共结晶:引入合成对称性的通用方法
EngRN: Medical Technologies (Topic) Pub Date : 2020-04-16 DOI: 10.2139/ssrn.3569535
C. Chesterman, E. Arnold
{"title":"Co-Crystallization with Diabodies: A Universal Method for the Introduction of Synthetic Symmetry","authors":"C. Chesterman, E. Arnold","doi":"10.2139/ssrn.3569535","DOIUrl":"https://doi.org/10.2139/ssrn.3569535","url":null,"abstract":"This work presents a method for introducing synthetic symmetry into protein crystallization samples using an antibody fragment termed a diabody (Dab). These Dabs contain two target binding sites and engineered disulfide bonds have been included to modulate Dab flexibility. The introduction of a disulfide bond promotes a preferred conformation and an increased likelihood of crystallization as observed in solution by small-angle X-ray scattering and in high-resolution crystal structures. To explore the capacity of engineered Dabs as crystallization chaperones, complexes between the engineered Dabs and HIV-1 reverse transcriptase (RT) bound to a high-affinity DNA aptamer were generated. This strategy increased the crystallization hit frequency obtained for RT-aptamer and the structure of a Dab-RT-DNA complex was determined to 3.0 A resolution. Introduction of synthetic symmetry using a Dab is a broadly applicable strategy, especially when monoclonal antibodies for a target have previously been identified.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132213365","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
Myo-electric Prosthetic Hand 肌电假肢
EngRN: Medical Technologies (Topic) Pub Date : 2020-04-05 DOI: 10.2139/ssrn.3645354
Pranali Pagde, Sunita Bharande, Mandar Kolapkar, N. Dhawas
{"title":"Myo-electric Prosthetic Hand","authors":"Pranali Pagde, Sunita Bharande, Mandar Kolapkar, N. Dhawas","doi":"10.2139/ssrn.3645354","DOIUrl":"https://doi.org/10.2139/ssrn.3645354","url":null,"abstract":"In the world where there are so many real-life problems for those undergone limb loss, it is necessary to work for it. The main aim of this project was to research, analyze, and execute the design required for a myoelectric prosthetic hand. The current commercial prosthetics for the upper limb are mostly open-loop devices. Several problems arise from the use of such open-loop devices due to its working capabilities. In this project ways of improving prosthetic devices is shown the problems involving these prosthetic devices are tackled in this report.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180606","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
Convolutional Neural Network for Lung Cancer: 卷积神经网络在肺癌中的应用
EngRN: Medical Technologies (Topic) Pub Date : 2020-03-28 DOI: 10.2139/ssrn.3562893
Puja Gupta, S. Garg, Ashwani Garg
{"title":"Convolutional Neural Network for Lung Cancer:","authors":"Puja Gupta, S. Garg, Ashwani Garg","doi":"10.2139/ssrn.3562893","DOIUrl":"https://doi.org/10.2139/ssrn.3562893","url":null,"abstract":"Lung cancer is the deadliest cancer of the recent decade.75% of the cases are diagnosed in latter stage of cancer, thus the survivalist decreases. With invent of AlexNet in the year 2012 which can train millions of images accurately classified, the role of computer diagnosis increased. This represents a holistic view in reviewing the papers on Lung image database consortium dataset with use of CNN in variant ways to increase sensitivity and accuracy. Small, unvalidated and superficial methods obstruct the usage of CNN.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123891396","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: 6
Private Equity Buyouts in Healthcare: Who Wins, Who Loses? 私人股本收购医疗行业:谁是赢家，谁是输家?
EngRN: Medical Technologies (Topic) Pub Date : 2020-03-15 DOI: 10.36687/inetwp118
E. Appelbaum, Rosemary Batt
{"title":"Private Equity Buyouts in Healthcare: Who Wins, Who Loses?","authors":"E. Appelbaum, Rosemary Batt","doi":"10.36687/inetwp118","DOIUrl":"https://doi.org/10.36687/inetwp118","url":null,"abstract":"Private equity firms have become major players in the healthcare industry. How has this happened and what are the results? What is private equity’s ‘value proposition’ to the industry and to the American people -- at a time when healthcare is under constant pressure to cut costs and prices? How can PE firms use their classic leveraged buyout model to ‘save healthcare’ while delivering ‘outsized returns’ to investors? In this paper, we bring together a wide range of sources and empirical evidence to answer these questions. Given the complexity of the sector, we focus on four segments where private equity firms have been particularly active: hospitals, outpatient care (urgent care and ambulatory surgery centers), physician staffing and emergency room services (surprise medical billing), and revenue cycle management (medical debt collecting). In each of these segments, private equity has taken the lead in consolidating small providers, loading them with debt, and rolling them up into large powerhouses with substantial market power before exiting with handsome returns.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124271450","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: 24
Predictive Alzheimer Disease Detection Model Using IOT Sensors: A Survey 基于物联网传感器的阿尔茨海默病预测检测模型研究
EngRN: Medical Technologies (Topic) Pub Date : 2020-03-04 DOI: 10.2139/ssrn.3548464
Nilanjana Nilanjana, Dr. Ajay Shankar Singh
{"title":"Predictive Alzheimer Disease Detection Model Using IOT Sensors: A Survey","authors":"Nilanjana Nilanjana, Dr. Ajay Shankar Singh","doi":"10.2139/ssrn.3548464","DOIUrl":"https://doi.org/10.2139/ssrn.3548464","url":null,"abstract":"In recent years various new challenges are faced all over the world by healthcare Industry.Today healthcare sector not only suffers from over expenditure but also issues are increasing among aged population.Hence we discuss in this paper how IoT is helping to overcome challenges faced by aged population especially Alzheimer disease.In major cities Government is trying to cooperate citizens with good healthcare hence helping in achieving active ageing.Here it is presented all the technologies which is helping to achieve building a system integrated with various types of wearable and nonwearable sensors which will analyze the problem of porential Alzheimer conditions in Elderly citizens via personality analysis model which is built via IoT sensors data.The major objective is to compare the behaviorial analysis and porential cases of Alzheimer.Due to early diagnosis of Alzeimer symptoms in elderly using IoT technologies a better action plan can be adopted by healthcare services.Hence due to continous monitoring by IoT devices the system becomes cost effective also.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122331729","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
Bridge Health Monitoring Using IoT 使用物联网进行桥梁健康监测
EngRN: Medical Technologies (Topic) Pub Date : 2020-03-03 DOI: 10.2139/ssrn.3547798
A. Raj, Rohit Tanwar, Abhishek Gupta, Abhay Goyal
{"title":"Bridge Health Monitoring Using IoT","authors":"A. Raj, Rohit Tanwar, Abhishek Gupta, Abhay Goyal","doi":"10.2139/ssrn.3547798","DOIUrl":"https://doi.org/10.2139/ssrn.3547798","url":null,"abstract":"A remote sensor framework has been proposed and tried in the spot of forty five sensors of three kinds among the sensors utilized widely in suspension scaffolds to demonstrate the suitability of remote sensor organize in real usage to take into consideration the expansion or supplanting of a sensor easily. In conclusion, the remote sensor arrange based extension wellbeing checking framework proposed in this is created as an application that is proposed to guarantee all inclusive appropriateness and intended to augment the simplicity of remote sensor arrange.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297412","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
Studying the Effect of Bengali Folk Music on Human Autonomic Nervous System Through Multi-Fractal Detrended Fluctuation Analysis of HRV Signals 利用HRV信号的多重分形去趋势波动分析研究孟加拉民族音乐对人体自主神经系统的影响
EngRN: Medical Technologies (Topic) Pub Date : 2020-01-08 DOI: 10.2139/ssrn.3515867
Pallav Dutta, Sudhangshu Sarkar, A. Chandra, A. Dey
{"title":"Studying the Effect of Bengali Folk Music on Human Autonomic Nervous System Through Multi-Fractal Detrended Fluctuation Analysis of HRV Signals","authors":"Pallav Dutta, Sudhangshu Sarkar, A. Chandra, A. Dey","doi":"10.2139/ssrn.3515867","DOIUrl":"https://doi.org/10.2139/ssrn.3515867","url":null,"abstract":"Music therapy is a frequently used tool to treat cardiac and neurological diseases. It has been proven that music impacts human body as well as mind. The reason behind such impact of music on humans is because of the release of a chemical agent inside the brain known as dopamine also known as the happy hormone. Autonomic Nervous System (ANS) is reactive to the chemical stimuli which comprises of sympathetic and parasympathetic nerves. In this paper, we present the effect of Bengali folk music on ANS. The signals were taken while the subject is listening to music and also during normal resting condition. In time series analysis, multifractal detrended fluctuation analysis (MF-DFA) is used for determining the statistical self-affinity and highly chaotic behavior of a signal. Multifractal detrended fluctuation analysis is used as a quantifying parameter to detect the effect of Bengali folk music on ANS. Our experimental result shows a satisfactory result in this context.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130924752","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
Digital Water Marking for ROI and RONI with Break Through Visibility Parameter 突破可视性参数的ROI和RONI数字水印
EngRN: Medical Technologies (Topic) Pub Date : 2019-08-22 DOI: 10.2139/ssrn.3507366
V. S, Dr. C. K. Narayanappa
{"title":"Digital Water Marking for ROI and RONI with Break Through Visibility Parameter","authors":"V. S, Dr. C. K. Narayanappa","doi":"10.2139/ssrn.3507366","DOIUrl":"https://doi.org/10.2139/ssrn.3507366","url":null,"abstract":"Due to fast growth of computer network, multimedia technology, digital media things can easily duplicate and distribute. Internet is used for the applications like telemedicine, online banking etc..Telemedicine is the communication transferring medical images from one place to other. This is helpful for the patience those who are staying in remote areas and easy to communicate with specialist from farawayplaces. But while transmitting if any changes in medical images whether intentionally or accidently then it is effects to health or life of patient. The Main intention of secure medical images by applying digital watermarking on ROI and RONI by zero watermarking and reversible water marking and finding invisibility by applying parameters.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121892866","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
Medical Information Extraction Using Natural Language Interpretation 基于自然语言解释的医学信息提取
EngRN: Medical Technologies (Topic) Pub Date : 2019-07-26 DOI: 10.2139/ssrn.3427081
Gunjan Dhole, Nilesh J. Uke
{"title":"Medical Information Extraction Using Natural Language Interpretation","authors":"Gunjan Dhole, Nilesh J. Uke","doi":"10.2139/ssrn.3427081","DOIUrl":"https://doi.org/10.2139/ssrn.3427081","url":null,"abstract":"NLP Based Retrieval of Medical Information is the extraction of medical data from narrative clinical documents. In this paper, we review Natural Language Processing (NLP) applications designed to extract medical problems from narrative text clinical documents. This paper also covers the methods used in this field and it also describes the architecture of the proposed system. However extraction of medical information is the difficult task due to complex symptom names and complex disease names. Proposed system is an expert system which will try to understand the input that can be the question about disease or list of symptoms and the system will try to give out the proper answer. Proposed system will consist of modules such as data processing, query processing, data extraction, answer matching, user interface etc. Lots of data are available in the medical field in free text form which is not used by normal rule based systems, so with the help of NLP we can use this free text data such as it will try to give out the answers that we search on our own.","PeriodicalId":348376,"journal":{"name":"EngRN: Medical Technologies (Topic)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665339","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
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