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Advances in Medical Technologies and Clinical Practice最新文献

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Effect of Delay in EOG Signals for Eye Movement Recognition 眼电信号延迟对眼动识别的影响
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8018-9.ch005
Rajat Rakesh Jhnujhunwala, P. Geethanjali
{"title":"Effect of Delay in EOG Signals for Eye Movement Recognition","authors":"Rajat Rakesh Jhnujhunwala, P. Geethanjali","doi":"10.4018/978-1-7998-8018-9.ch005","DOIUrl":"https://doi.org/10.4018/978-1-7998-8018-9.ch005","url":null,"abstract":"Electrooculogram (EOG) signals as a part of human-controlled interface (HCI) is proposed for detecting the relevant information in EOG with and without delay in movement of eyes. The performance of eye movements is studied with the accuracy in identification of information along with single and double blink. The algorithm consists of a simple first order derivative, threshold windowing technique, and pattern recognition. The EOG pattern recognition was studied with time domain features mean value (MV) and ensemble of MV and zero crossing (ZC). The highest average classification accuracy of 85% and 84.4% is obtained from continuous movement of eyes for three classes (L, R, DB and L, R, SB) with two time-domain features. Further, the accuracy of 90% and 88% from two eye movement detection is obtained.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125495859","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
Chemical Structure Databases in Drug Discovery 药物发现中的化学结构数据库
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7326-5.CH002
Pramodkumar P. Gupta, V. Bastikar, S. Chhajed
{"title":"Chemical Structure Databases in Drug Discovery","authors":"Pramodkumar P. Gupta, V. Bastikar, S. Chhajed","doi":"10.4018/978-1-5225-7326-5.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-7326-5.CH002","url":null,"abstract":"Biologically active and approved molecules have attracted great interest from scientists working in the therapeutic area. This has greatly increased the pressure on the pharma and life science industry in fueling new molecules to the market. Chemical structure database, the backbone of cheminformatics and the bioinformatics industry, has warehoused millions of active and non-active molecules/ligands/derivatives of drug compounds. Numerous public and private chemical databases support the drug discovery projects by contributing their data source in terms of 2D, 3D structure, and annotation reports in development of effective therapeutic projects. In this chapter, the authors discuss important chemical structure databases and their diverse dataset utilization in drug discovery projects.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117237708","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
Cross Reality in Crisis Management 危机管理中的跨现实
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8790-4.ch009
Mian Yan, Alex Pak Ki Kwok, C. Wang, Xin Lian, Canbiao Zhuang, Chang Gao, Ying Ting Huang
{"title":"Cross Reality in Crisis Management","authors":"Mian Yan, Alex Pak Ki Kwok, C. Wang, Xin Lian, Canbiao Zhuang, Chang Gao, Ying Ting Huang","doi":"10.4018/978-1-7998-8790-4.ch009","DOIUrl":"https://doi.org/10.4018/978-1-7998-8790-4.ch009","url":null,"abstract":"The continuous technological advancement of computer simulation, display technology, and the internet of things leads to the opportunities to use cross-reality (XR) technologies in crisis management. XR emphasizes the compositions of different concepts in reality-virtuality continuum under a shared online virtual world, including virtual reality (VR), augmented reality (AR), and mixed reality (MR). It is touted as a promising tool to facilitate crisis management strategies in different stages, including prevention, onsite management, and recovery. This research contributes to the field of research in VR, XR, and crisis management (an essential component of healthcare) in the following four ways: (1) It proposes an idea to apply XR in crisis management. (2) It proposes a framework to connect VR, AR, and MR serving one purpose. (3) It presents a qualitative study to examine the user perception of the XR-based crisis management method. (4) It brings out the challenges and opportunities of using XR in crisis management.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117281108","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
Arrhythmia ECG Beats Classification Using Wavelet-Based Features and Support Vector Machine Classifier 基于小波特征和支持向量机分类器的心律失常心电节拍分类
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7796-6.CH004
C. Jha, M. Kolekar
{"title":"Arrhythmia ECG Beats Classification Using Wavelet-Based Features and Support Vector Machine Classifier","authors":"C. Jha, M. Kolekar","doi":"10.4018/978-1-5225-7796-6.CH004","DOIUrl":"https://doi.org/10.4018/978-1-5225-7796-6.CH004","url":null,"abstract":"Abnormal behavior of heart muscles generates irregular heartbeats which are collectively known as arrhythmia. Classification of arrhythmia beats plays a prominent role in electrocardiogram (ECG) analysis. It is widely used in online and long-term patient monitoring systems. This chapter reports a classification technique to recognize normal (N) and five arrhythmia beats (i.e., left bundle branch block [LBBB], right bundle branch block [RBBB], premature ventricular contraction [V], paced [P], and atrial premature contraction [A]). The technique utilizes features of heartbeats extracted by the wavelet multi-resolution analysis. The feature vectors are used to train and test the classifier based on the support vector machine which has been emerged as a benchmark in machine learning classifier. It accomplishes the beat classification very efficiently. ECG records of the MIT-BIH arrhythmia database are utilized to acquire the different types of heartbeats. Performance of the proposed classifier outperforms the contemporary arrhythmia beats classification techniques.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134417341","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: 5
Synthesis of Classification Models and Review in the Field of Machine Learning 机器学习领域分类模型的综合与综述
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7796-6.CH002
Venkatram Kari, Geetha Mary Amalanathan
{"title":"Synthesis of Classification Models and Review in the Field of Machine Learning","authors":"Venkatram Kari, Geetha Mary Amalanathan","doi":"10.4018/978-1-5225-7796-6.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-7796-6.CH002","url":null,"abstract":"Classification method is an important technique used in machine learning for predictive analytics. Classification enables business to predict future trends and behaviors of an enterprise with the help of their past data. Classification is a supervised learning model, which is built in twostep process, first building the classification model and second predicting the outcome for unknown data. This chapter describes various classification models by learning mechanisms and categorizes them into different statistical, probabilistic, and heuristic methods, and explains them with example dataset. It also compares these models and their efficiencies with model evaluation techniques and briefs some blended classification models. The goal of this chapter is to provide a comprehensive review of different classification techniques and give a quick refresher on classification models in big data analytics. The comparison of various classification models helps the readers to quickly decide which classification model to choose for the given business scenario.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907613","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
Text Mining and Natural Language Processing for Health Informatics 健康信息学的文本挖掘和自然语言处理
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7188-0.ch008
V. Anoop
{"title":"Text Mining and Natural Language Processing for Health Informatics","authors":"V. Anoop","doi":"10.4018/978-1-7998-7188-0.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-7188-0.ch008","url":null,"abstract":"Health informatics deals with applying informatics to medicine and healthcare that aims to store, process, and retrieve large amounts of healthcare data to enable optimal collaboration between different stakeholders. This has several applications in the healthcare domain from extracting information from medical documents such as case reports and prescriptions to analyzing data from sensors available in wearable devices. Recent advancements in information and communication technologies fueled the need of devising intelligent technologies for analyzing such data – not only in various forms but also in large quantities. This has posed many challenges and opportunities to use techniques such as text mining, natural language processing (NLP), and deep learning to unearth the latent themes from the vast array of textual data. This chapter proposes some prominent works in health informatics that use text mining and NLP and also discusses some active research areas in these dimensions. This chapter will be useful to understand the recent advancements and future research dimensions.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648966","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
Challenges of Parents With Children With Rare Diseases in Portugal 葡萄牙患有罕见疾病儿童的父母面临的挑战
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-2088-8.ch008
Beatriz Santos, Cátia Ferreira, C. Mota
{"title":"Challenges of Parents With Children With Rare Diseases in Portugal","authors":"Beatriz Santos, Cátia Ferreira, C. Mota","doi":"10.4018/978-1-7998-2088-8.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-2088-8.ch008","url":null,"abstract":"This chapter makes known the reality of Portuguese families with children diagnosed with a rare disease. The parenting, romantic attachment, coping and emotional regulation strategies, resilience, and personality characteristics of parental figures are the main focus of research carried out in Portugal. In this research participated 160 parental figures (99 mothers and 61 fathers) between 22 and 81 years old. It was found that the existence of a child with a rare disease in the family can give rise to a set of disparate feelings, where the parental figures have to reorganize themselves internally and externally to respond to the needs of the child. It is important to develop intervention programs that address the needs of the parental figures underlying the act of caring.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114721182","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
Machine Learning Techniques to Identify and Characterize Sleep Disorders Using Biosignals 利用生物信号识别和表征睡眠障碍的机器学习技术
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8018-9.ch008
M. Barrachina, Laura Valenzuela López
{"title":"Machine Learning Techniques to Identify and Characterize Sleep Disorders Using Biosignals","authors":"M. Barrachina, Laura Valenzuela López","doi":"10.4018/978-1-7998-8018-9.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-8018-9.ch008","url":null,"abstract":"Sleep disorders are related to many different diseases, and they could have a significant impact in patients' health, causing an economic impact to the society and to the national health systems. In the United States, according to information from the Center for Disease Control and Prevention, those disorders are affecting 50-70 million in the adult population. Sleep disorders are causing annually around 40,000 deaths due to cardiovascular problems, and they cost the health system more than 16 billion. In other countries, such as in Spain, those disorders affect up to 48% of the adult population. The main objective of this chapter is to review and evaluate the different machine learning techniques utilized by researchers and medical professionals to identify, assess, and characterize sleep disorders. Moreover, some future research directions are proposed considering the evaluated area.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128307018","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
Criticality of E-Privacy and Data Leakage Amid the Pandemic 疫情中电子隐私和数据泄露的严重性
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7188-0.ch013
Gaurav Roy
{"title":"Criticality of E-Privacy and Data Leakage Amid the Pandemic","authors":"Gaurav Roy","doi":"10.4018/978-1-7998-7188-0.ch013","DOIUrl":"https://doi.org/10.4018/978-1-7998-7188-0.ch013","url":null,"abstract":"The global pandemic has led to an undeniable surge in using digital technologies due to the social distancing norms and nationwide lockdowns. Firms and organizations are conforming to the new culture of work and life. The use of internet services, digital devices, and cloud systems has seen surges in usage from 40% to 100%, compared to pre-lockdown levels. With the rapid growth of this technological use, people are exposing their digital assets, presence, and behavior out to the binary world where AI-driven data analysis algorithms, data-gathering systems, and spyware are continuously monitoring their behavior. These subconsciously exposed data are then carried forward for delivering customized ads and recommend features.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"3 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120852311","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
Precision and Reliability of the T-Scan III System T-Scan III系统的精度和可靠性
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-9254-9.ch003
Bernd Koos, DMD
{"title":"Precision and Reliability of the T-Scan III System","authors":"Bernd Koos, DMD","doi":"10.4018/978-1-5225-9254-9.ch003","DOIUrl":"https://doi.org/10.4018/978-1-5225-9254-9.ch003","url":null,"abstract":"Precise analysis of occlusal contacts and occlusal force is a problem in functional diagnostics that has not yet been satisfactorily resolved, despite the fact that the deleterious consequences of an unbalanced occlusion are widespread, and can be severe. In clinical practice, the present-day analysis of the occlusion is reduced to depicting force with color-marking foils that leave ink marks upon the teeth. However, these foils only indicate the localization of contacts, but do not describe reliably the occlusal force relationships. Precise analysis that incorporates time resolution, and plots the distribution of forces within the occlusion, is not possible when employing the traditional occlusal indicator methods. A detailed occlusal force and timing analysis can only be provided by performing a computer-assisted analysis, using the T-Scan III system (Tekscan, Inc. S. Boston, MA, USA), which records changing relative occlusal force levels and real-time occlusal contact sequence data, with high definition (HD) recording sensors. The following chapter demonstrates the accuracy and reliability of this computer-based occlusal measurement method that reliably describes the time-dependent distribution of occlusal force evolution.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114809939","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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