TY - GEN
T1 - Enhanced Reliable Mesh Communication Platforms for Smart Patient Wristbands
AU - Law, K. L.Eddie
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Smart patient wristbands are expected to store patient information, monitor real-time vital signs, notify nurses for timely and emergency services, alert patients about safety issues, and assist with daily hospital operations. To better track patient movements, especially those with infectious diseases, these smart IoT wristbands are equipped with low-cost, MRI-safe Bluetooth Low Energy (BLE) transceivers. In this paper, we propose a system design with improved communication reliability, utilizing Bluetooth mesh networks at the frontend and a fog-based cloud backend. The design is to handle dynamic data traffic load variations, such as those occurring in suddenly crowded hospital environments during epidemics, where excess patients may be placed in random locations, including corridors. With the widespread adoption of BLE in smartphones, patient endpoints can be easily set up in our system during emergencies. Testbed experiments and measurements confirm that frames from different BLE nodes in our model can reach edge devices (e.g., nurse stations) through three different operating modes. The CoAP-assisted Fog (CaF) mode offers delivery guarantees with high success rates than that of the regular BLE mesh mode.
AB - Smart patient wristbands are expected to store patient information, monitor real-time vital signs, notify nurses for timely and emergency services, alert patients about safety issues, and assist with daily hospital operations. To better track patient movements, especially those with infectious diseases, these smart IoT wristbands are equipped with low-cost, MRI-safe Bluetooth Low Energy (BLE) transceivers. In this paper, we propose a system design with improved communication reliability, utilizing Bluetooth mesh networks at the frontend and a fog-based cloud backend. The design is to handle dynamic data traffic load variations, such as those occurring in suddenly crowded hospital environments during epidemics, where excess patients may be placed in random locations, including corridors. With the widespread adoption of BLE in smartphones, patient endpoints can be easily set up in our system during emergencies. Testbed experiments and measurements confirm that frames from different BLE nodes in our model can reach edge devices (e.g., nurse stations) through three different operating modes. The CoAP-assisted Fog (CaF) mode offers delivery guarantees with high success rates than that of the regular BLE mesh mode.
UR - https://www.scopus.com/pages/publications/85219610533
U2 - 10.1109/HEALTHCOM60970.2024.10880764
DO - 10.1109/HEALTHCOM60970.2024.10880764
M3 - Conference contribution
AN - SCOPUS:85219610533
T3 - 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
BT - 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
Y2 - 18 November 2024 through 20 November 2024
ER -