An Anti-Collision Scheme for RFID for Patient Tracking Using Linear Interpolation Estimation.
Radio Frequency Identification (RFID) tags are widely used in the healthcare industry for patient tracking. A mainstream RFID implementation is based on a series of readers installed in a fixed location within a hospital or a nursing home and tags are embedded in the clothing worn by patients. Careg...
| Publicado en: | Journal of Medical Systems Vol. 44; no. 10 |
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| Autor principal: | |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2020
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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=146224564&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146224564 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Oct2020 vid: 44 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 146224564 146224564 146224564 10.1007/s10916-020-01647-x 146224564 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An Anti-Collision Scheme for RFID for Patient Tracking Using Linear Interpolation Estimation. aug: au: Fong, Bernard affil: Providence University, Taiwan Blvd Sec 7 No 200, 433, Taichung City, Taiwan sug: subj: Radio Frequency Identification Patient Identification Algorithms Utilization Emergency Medical Tags Human Health Facility Environment Probability Descriptive Statistics Computer Simulation Wearable Sensors ab: Radio Frequency Identification (RFID) tags are widely used in the healthcare industry for patient tracking. A mainstream RFID implementation is based on a series of readers installed in a fixed location within a hospital or a nursing home and tags are embedded in the clothing worn by patients. Caregivers can readily obtain near real-time location information of individual patients from the tag locations. For implementation in washable clothing tags are often passive such that tag collision is a common problem within co-operation mechanism between tags. Tag anti-collision scheme is there an important consideration that affects the identification effectiveness. To address this issue, this paper proposes a dynamic frame slotted Aloha algorithm based on linear interpolation based estimation that adaptively adjusts the frame length. Simulation results show that the proposed algorithm yields an estimation error below 1.5% achieved in less than 10 iterations, it provides reduction in identification time while reduces the tags leakage probability in a clinical environment where patient tracking is automatically managed. 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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