An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services.
As cloud computing and wearable devices technologies mature, relevant services have grown more and more popular in recent years. The healthcare field is one of the popular services for this technology that adopts wearable devices to sense signals of negative physiological events, and to notify users...
| Publicado en: | Journal of Medical Systems Vol. 39; no. 12; pp. 1 - 12 |
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| Autores principales: | , , , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2015
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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=110463854&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 110463854 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2015 vid: 39 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 110463854 110463854 110463854 10.1007/s10916-015-0343-y NLM26490152 110463854 ppf: 1 ppct: 11 formats: fmt: @attributes: type: P tig: atl: An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services. aug: au: Chen, Shih-Yeh Lai, Chin-Feng Hwang, Ren-Hung Lai, Ying-Hsun Wang, Ming-Shi affil: Department of Engineering Science, National Cheng Kung University, Tainan 701 Republic of China sug: subj: Wearable Sensors Health Services Data Management Descriptive Statistics Probability Correlation Coefficient Computer Hardware Funding Source ab: As cloud computing and wearable devices technologies mature, relevant services have grown more and more popular in recent years. The healthcare field is one of the popular services for this technology that adopts wearable devices to sense signals of negative physiological events, and to notify users. The development and implementation of long-term healthcare monitoring that can prevent or quickly respond to the occurrence of disease and accidents present an interesting challenge for computing power and energy limits. This study proposed an adaptive sensor data segments selection method for wearable health care services, and considered the sensing frequency of the various signals from human body, as well as the data transmission among the devices. The healthcare service regulates the sensing frequency of devices by considering the overall cloud computing environment and the sensing variations of wearable health care services. The experimental results show that the proposed service can effectively transmit the sensing data and prolong the overall lifetime of health care services. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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