Article(id=1242137873705677454, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137871864377992, articleNumber=null, orderNo=5, doi=10.3981/j.issn.1000-7857.2019.22.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1547049600000, receivedDateStr=2019-01-10, revisedDate=1563984000000, revisedDateStr=2019-07-25, acceptedDate=null, acceptedDateStr=null, onlineDate=1575097716983, onlineDateStr=2019-11-30, pubDate=1574870400000, pubDateStr=2019-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1575097716983, onlineIssueDateStr=2019-11-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078346892, creator=sys-migrate, updateTime=1774078346892, updator=sys-migrate, issue=Issue{id=1242137871864377992, tenantId=1146029695717560320, journalId=1146031591421210625, year='2019', volume='37', issue='22', pageStart='1', pageEnd='152', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078346454, creator=sys-migrate, updateTime=1774078346454, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=19, endPage=25, ext={EN=ArticleExt(id=1242137877069509284, articleId=1242137873705677454, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Application of wearable gait-assist technology in the fields of rehabilitation and elderly care, columnId=1242137875546973043, journalTitle=Science & Technology Review, columnName=Exclusive: Rehabilitation technical aids and engineering, runingTitle=null, highlight=null, articleAbstract=The gait is one part of an individual's specific biological information, in the fields of medical health, athletic performance and biometrics. The wearable gait detecting system is a comprehensive system integrating hardware, software, data processing analysis and gait algorithm, and is easy to operate and to acquire the gait information of the subject in real-time and with high precision. It can be effectively used in the evaluation of the rehabilitation, the abnormal gait monitoring and the early warning of the elderly in line with the needs of the rehabilitation and pension field in the context of our aging society. With the accumulation of the gait data and the establishment of disease prediction models in different disease cohort studies, the gait detection and evaluation will find more important applications with broad application prospects in the field of the rehabilitation and the elderly care service., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=UPSpebqWpR7p3yboRQItdw==, pdfFileSize=1392542, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Dalian Key Laboratory of Smart Medical and Health, Dalian University, Dalian 116622, China;
2. China Rehabilitation Hospital, National Research Center for Rehabilitation Technical Aids;Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability;Key Laboratory of Human Motion Analysis and Rehabilitation Technology of the Ministry of Civil Affairs, Beijing 100176, China;
3. Department of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, Foshan 528000, China, fund=null, authors=TAO Shuai¹, Lü Zeping², XIE Haiqun³, authorsList=TAO Shuai, Lü Zeping, XIE Haiqun), CN=ArticleExt(id=1242137875978990236, articleId=1242137873705677454, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=可穿戴步态辅助技术在康复养老领域中的应用, columnId=1242137875110769297, journalTitle=科技导报, columnName=专题：康复辅具与康复工程, runingTitle=null, highlight=null, articleAbstract=步态作为一种个体的特异性生物学信息，应用于医疗健康、运动表现和生物识别等领域。本文综述了当前的步态检测与分析技术的研究进展，及其在康复养老领域的应用。未来伴随不同疾病队列研究的步态数据累积与疾病预测模型的建立，步态检测评估将在康复养老领域具有更重要的应用价值和广泛的应用前景。关键词步态；可穿戴设备；康复；养老；智慧医疗, correspAuthors=null, authorNote=陶帅,副教授,研究方向为智慧医疗与健康,电子信箱:taoshuai@dlu.edu.cn, correspAuthorsNote=吕泽平(通信作者),主任医师,研究方向为老年神经病学与神经康复,电子信箱:lvzeping@163.com;谢海群(共同通信作者),副主任医师,研究方向为认知障碍评估与神经调控,电子信箱:haiqunx@foxmail.com, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=okpr7wl7Hl23UNhyVxIA6g==, pdfFileSize=1392542, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 大连大学大连市智慧医疗与健康重点实验室, 大连 116622;
2. 国家康复辅具研究中心附属康复医院, 北京市老年功能障碍康复辅助技术重点实验室, 民政部人体运动分析与康复技术重点实验室, 北京 100176;
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