Intelligent Wearable Occupational Health Safety Assurance System of Power Operation.
To improve the capacity of emergency control over on-site operation risk and effectively guarantee safety of operators in a complicated environment, a wearable safety assurance system framework for power operation is proposed. The framework centres on a wearable information processing gateway for si...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 1; pp. 1 - 2 |
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| Autores principales: | , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133940265&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133940265 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 2019 vid: 43 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133940265 133940265 133940265 10.1007/s10916-018-1122-3 133940265 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Intelligent Wearable Occupational Health Safety Assurance System of Power Operation. aug: au: Xie, Xiaona Chang, Zhengwei affil: School of Control Science and Engineering, Chengdu University of Information Technology, Chengdu, China sug: subj: Occupational Health Occupational Safety Wearable Sensors Monitoring, Physiologic Equipment and Supplies Artificial Intelligence Systems Design Blue Collar Workers Vital Signs Heart Rate Body Temperature Blood Pressure Machine Learning Power Plants Power Sources Wireless Communications Health Status Autonomic Nervous System Physiology User-Computer Interface ab: To improve the capacity of emergency control over on-site operation risk and effectively guarantee safety of operators in a complicated environment, a wearable safety assurance system framework for power operation is proposed. The framework centres on a wearable information processing gateway for single man and provides standardized access for vital signs monitoring, human-machine interaction and other equipment in a form of wireless ad hoc network. Using wearable vital signs monitoring equipment, the physiological parameters such as heart rate, body temperature and blood pressure can be monitored in real time. By extracting physiological parameters and SVM machine learning method, the operator's health condition is judged. Practical application shows that the wearable safety assurance system can evaluate the life status of workers in complex environment in real time, and can detect the risk of personal safety accidents caused by abnormal physical condition in the process of operation in advance. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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