TY - GEN
T1 - Patient sensors
T2 - 6th International Conference on Smart Homes and Health Telematics, ICOST 2008
AU - O'Donoghue, John
AU - Herbert, John
AU - Sammon, David
PY - 2008
Y1 - 2008
N2 - Wireless sensor devices with communication capabilities are affected by data quality issues. To ensure that information transmitted by these sensing devices are of a high quality, the data needs to be processed, validated and verified to meet the data quality requirements of the end user. The sensor validation component of the Data Management System (DMS) architecture is presented. It is designed to identify if the real-time sensor is functioning within the correct operating bounds. The DMS is applied within a medical environment to assess its ability to manage real-time patient sensor readings. The effectiveness of the DMS-Validation Model (DMS-VM) is evaluated under two real world scenarios 1) Hardware variance among four Tyndall-DMS-Motes with a patient state of resting and 2) One Tyndall-DMS-Mote under three patient states. The experiments have shown the reliability of the Tyndall-DMS-Mote and the ability of the DMS-VM to ensure sensor data quality. Validating sensor reliability is essential to enable safe remote health monitoring in the home.
AB - Wireless sensor devices with communication capabilities are affected by data quality issues. To ensure that information transmitted by these sensing devices are of a high quality, the data needs to be processed, validated and verified to meet the data quality requirements of the end user. The sensor validation component of the Data Management System (DMS) architecture is presented. It is designed to identify if the real-time sensor is functioning within the correct operating bounds. The DMS is applied within a medical environment to assess its ability to manage real-time patient sensor readings. The effectiveness of the DMS-Validation Model (DMS-VM) is evaluated under two real world scenarios 1) Hardware variance among four Tyndall-DMS-Motes with a patient state of resting and 2) One Tyndall-DMS-Mote under three patient states. The experiments have shown the reliability of the Tyndall-DMS-Mote and the ability of the DMS-VM to ensure sensor data quality. Validating sensor reliability is essential to enable safe remote health monitoring in the home.
KW - Data quality
KW - Geriatric patient monitoring
KW - Patient vital sign sensors
KW - Pervasive environments
UR - http://www.scopus.com/inward/record.url?scp=49649119041&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69916-3_7
DO - 10.1007/978-3-540-69916-3_7
M3 - Conference contribution
AN - SCOPUS:49649119041
SN - 3540699147
SN - 9783540699149
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 61
BT - Smart Homes and Health Telematics - 6th International Conference, ICOST 2008, Proceedings
Y2 - 28 June 2008 through 2 July 2008
ER -