TY - JOUR
T1 - Wireless sensor network system for supporting nursing context-awareness
AU - Naya, Futoshi
AU - Ohmura, Ren
AU - Miyamae, Masakazu
AU - Noma, Haruo
AU - Kogure, Kiyoshi
AU - Imai, Michita
PY - 2011/11
Y1 - 2011/11
N2 - We developed a wireless sensor network system for supporting context-awareness of nursing activities in hospitals. Our system is aimed at automated recording of nursing work, providing context-aware services to nurses and visualising analytical results from nursing histories. The system consists of heterogeneous devices utilising three kinds of wireless networks: a ZigBeeTM (ZigBee is a registered trademark of the ZigBee Alliance)-based location sensor network, a BluetoothTM (Bluetooth is a trademark owned by Bluetooth SIG, Inc., USA)-based body-area sensor network for capturing nurse activities and a Wi-FiTM (Wi-Fi is a registered trademark of the Wi-Fi Alliance)-based network for communication between PDAs worn by nurses and a server PC. We illustrate the layered structure of the entire system as well as algorithms for estimating nurse locations and activities during their operations in a hospital. These estimated results are managed by a real-time database system with which nurse contexts can be visualised in real time on a server PC and/or PDAs. We also show empirical results evaluating the performance of retrieving, analysing and visualising detailed nursing contexts.
AB - We developed a wireless sensor network system for supporting context-awareness of nursing activities in hospitals. Our system is aimed at automated recording of nursing work, providing context-aware services to nurses and visualising analytical results from nursing histories. The system consists of heterogeneous devices utilising three kinds of wireless networks: a ZigBeeTM (ZigBee is a registered trademark of the ZigBee Alliance)-based location sensor network, a BluetoothTM (Bluetooth is a trademark owned by Bluetooth SIG, Inc., USA)-based body-area sensor network for capturing nurse activities and a Wi-FiTM (Wi-Fi is a registered trademark of the Wi-Fi Alliance)-based network for communication between PDAs worn by nurses and a server PC. We illustrate the layered structure of the entire system as well as algorithms for estimating nurse locations and activities during their operations in a hospital. These estimated results are managed by a real-time database system with which nurse contexts can be visualised in real time on a server PC and/or PDAs. We also show empirical results evaluating the performance of retrieving, analysing and visualising detailed nursing contexts.
KW - Activity recognition
KW - Activity- and location-awareness
KW - Context visualisation
KW - Healthcare
KW - Nursing activity
KW - Wireless sensor network
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U2 - 10.1504/IJAACS.2011.043477
DO - 10.1504/IJAACS.2011.043477
M3 - Article
AN - SCOPUS:80455150550
SN - 1754-8632
VL - 4
SP - 361
EP - 382
JO - International Journal of Autonomous and Adaptive Communications Systems
JF - International Journal of Autonomous and Adaptive Communications Systems
IS - 4
ER -