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Application of wearable gait-assist technology in the fields of rehabilitation and elderly care
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Science & Technology Review | 2019, 37(22) : 19 - 25
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Science & Technology Review | 2019, 37(22): 19-25
Exclusive: Rehabilitation technical aids and engineering
Application of wearable gait-assist technology in the fields of rehabilitation and elderly care
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TAO Shuai1, Lü Zeping2, XIE Haiqun3
Affiliations
    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
Published: 2019-11-28 doi: 10.3981/j.issn.1000-7857.2019.22.003
Outline
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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.
gait  /  wearable devices  /  rehabilitation  /  elderly care  /  intelligent health
陶帅, 吕泽平, 谢海群. 可穿戴步态辅助技术在康复养老领域中的应用. 科技导报, 2019 , 37 (22) : 19 -25 . DOI: 10.3981/j.issn.1000-7857.2019.22.003
TAO Shuai, Lü Zeping, XIE Haiqun. Application of wearable gait-assist technology in the fields of rehabilitation and elderly care[J]. Science & Technology Review, 2019 , 37 (22) : 19 -25 . DOI: 10.3981/j.issn.1000-7857.2019.22.003
Year 2019 volume 37 Issue 22
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doi: 10.3981/j.issn.1000-7857.2019.22.003
  • Receive Date:2019-01-10
  • Online Date:2019-11-30
  • Published:2019-11-28
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  • Received:2019-01-10
  • Revised:2019-07-25
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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