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Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
Published on: May 2, 2018
Indoor patient position estimation using particle filtering and wireless body area networks
Hongliang Ren1, Max Q H Meng, Lisheng Xu
1Department of Electronic Engineering, The Chinese University of Hong Kong, Shenzhen, China. hlren@ee.cuhk.edu.hk
Summary
This study introduces a particle filtering localization algorithm for Wireless Body Area Networks (WBANs). It estimates patient position using existing sensor signals, enabling unobtrusive daily activity surveillance without extra hardware.
Area of Science:
- Biomedical Engineering
- Wireless Sensor Networks
- Signal Processing
Background:
- Wireless Body Area Networks (WBANs) are increasingly used for unobtrusive patient physiological monitoring.
- Existing WBANs offer opportunities for additional functionalities beyond data collection.
- Accurate patient localization is crucial for effective daily activity surveillance and analysis.
Purpose of the Study:
- To develop and evaluate a novel localization algorithm for WBANs.
- To leverage existing wireless communication links for patient pose estimation.
- To enable unobtrusive daily activity surveillance using WBANs.
Main Methods:
- A particle filtering-based localization algorithm was proposed.
- The algorithm utilizes received radio signal strength information (RSSI) from beacons or neighboring sensors.
- No additional hardware or instruments are required beyond the existing WBAN sensors.
Main Results:
- The proposed algorithm successfully estimates the location of WBAN nodes.
- Performance was evaluated through theoretical analysis and simulation experiments.
- The method demonstrates feasibility for unobtrusive patient localization.
Conclusions:
- Particle filtering is an effective method for WBAN localization using RSSI.
- The developed algorithm enables patient pose estimation without extra hardware.
- This approach facilitates unobtrusive daily activity surveillance for healthcare analysis.
