Literature DB >> 32006730

Application of Improved LANDMARC Indoor Positioning Algorithm in Neurology Medical Care Monitoring and Positioning System.

Yanzhu Huang1, Ling Li1, Luhong Hu2, Haishan Huang1, Zongfeng Liao1, Junjing Wang3.   

Abstract

The paper proposes an improved LANDMARC positioning algorithm to improve the location accuracy of environmental obstacles for medicine care monitoring in neurology. The paper proposes a log path loss correction model and uses the model to compensate the positioning signal to improve the positioning accuracy of the algorithm caused by the attenuation of the indoor positioning signal by the wall. The experimental results show that the LANDMARC positioning algorithm based on the log path loss correction model can improve the positioning accuracy of medical monitoring in neurology.
Copyright © 2020 Elsevier Inc. All rights reserved.

Keywords:  Improved LANDMARC; Indoor positioning algorithm; Medical care monitoring and positioning system; Neurology

Mesh:

Year:  2020        PMID: 32006730     DOI: 10.1016/j.wneu.2020.01.172

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  1 in total

1.  Research and Implementation of Indoor 3D Positioning Algorithm Based on LED Visible Light Communication and Corresponding Parameter Estimation.

Authors:  Yi Li
Journal:  Comput Intell Neurosci       Date:  2022-09-13
  1 in total

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