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THESIS/ Using Bluetooth Low Energy (BLE) and High Accuracy Distance Measurement (HADM) for Location-Based Services in Healthcare​

Televic Healthcare develops and manufactures professional communication systems within the care sector for nurse call, patient/staff localization and mobile alarming.Our state-of-the-art systems are adapted to the ever-higher demands of an evolving market and have been implemented in newly built and refurbished healthcare institutions across the world.
MARCHÉ
SANTÉ
LOCATION
Belgium
DOMAINE
Engineering
MARCHÉ
SANTÉ
LOCATION
Belgium
DOMAINE
Engineering

About Televic Healthcare

At Televic Healthcare, we are at the forefront of revolutionizing healthcare through cutting-edge communication and information technology. We specialize in designing, developing and manufacturing innovative solutions that enhance patient care, streamline processes and empower healthcare professionals. We work in a channel model through certified partners internationally and our ambition is to become the reference in our niche market through innovation.

Nature of the work

  • Level: Bachelor, Master
  • ​​Wireless, Localization​
  • Location: University and Televic Healthcare (Izegem)
  • Number of students: 1 or 2

Topic Description

​​​Introduction:
Indoor positioning systems often face challenges related to accuracy, deployment costs, and infrastructure complexity. This thesis explores how BLE ranging through HADM, leveraging our existing infrastructure and potentially integrating RSSI or other data sources, can enhance location-based services in healthcare settings, improving both precision and operational efficiency.

Research Objectives and Questions:
This study explores the feasibility of leveraging existing BLE infrastructure for high-accuracy localization in healthcare settings, with a focus on BLE High Accuracy Distance Measurement (HADM) for precise indoor positioning. A primary goal is to assess BLE HADM ranging, identify its limitations, and determine the optimal parameters to validate its performance in real-world hospital environments. Additionally, the research will examine other potential applications, such as hospital asset management.

To achieve these goals, the study will address the following key questions:
How accurately can BLE-based localization be implemented using existing hospital infrastructure?
How can HADM be effectively integrated with BLE for high-precision indoor positioning?
What are the optimal parameters (e.g., beacon density, signal filtering, angle threshold) for HADM in healthcare settings?​

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