{"title":"Special Issue on PHM for Human Health & Performance","authors":"W. Fink","doi":"10.36001/ijphm.2019.v10i3.2624","DOIUrl":null,"url":null,"abstract":"Predictive Health Management (PHM), originally applied in the Aerospace Industry, tries to predict when what part would fail for what reason(s) in order to make preventive maintenance more efficient and cost-effective. Over the past several years, PHM has been infused increasingly into the human healthcare, precision medicine, and human performance sectors. As such, a diverse and trans-disciplinary group of expert authors presents in this Special Issue on PHM for Human Health & Performance its perspectives on PHM in the context of prognostics and health management for human health and performance, both on Earth and in space, in nine excellent contributions that cover a wide range of current research and application topics related to this emerging field. In particular, these contributions highlight various technological and analytical aspects that in combination contribute and make a reality an autonomous healthcare paradigm. These aspects include, but are not limited to: wearable smart sensors, rehabilitation devices and robotics, image classification, signal processing, data mining, data understanding, machine learning, prediction and diagnosis, electronic health records and databases, and overarching PHM-based healthcare frameworks, etc.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36001/ijphm.2019.v10i3.2624","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
Predictive Health Management (PHM), originally applied in the Aerospace Industry, tries to predict when what part would fail for what reason(s) in order to make preventive maintenance more efficient and cost-effective. Over the past several years, PHM has been infused increasingly into the human healthcare, precision medicine, and human performance sectors. As such, a diverse and trans-disciplinary group of expert authors presents in this Special Issue on PHM for Human Health & Performance its perspectives on PHM in the context of prognostics and health management for human health and performance, both on Earth and in space, in nine excellent contributions that cover a wide range of current research and application topics related to this emerging field. In particular, these contributions highlight various technological and analytical aspects that in combination contribute and make a reality an autonomous healthcare paradigm. These aspects include, but are not limited to: wearable smart sensors, rehabilitation devices and robotics, image classification, signal processing, data mining, data understanding, machine learning, prediction and diagnosis, electronic health records and databases, and overarching PHM-based healthcare frameworks, etc.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.