TY - GEN
T1 - An integrated fall and mobility sensor and wireless health signs monitoring system
AU - Ven, Pepijn Van De
AU - Feld, Robert
AU - Bourke, Alan
AU - Nelson, John
AU - Laighin, Gearóid Ó
PY - 2008
Y1 - 2008
N2 - In this paper the integration of a fall and mobility sensor with a health signs monitoring system is described. In a previous version of the system, which was used in trials with elderly volunteers in Ancona, Italy, health signs were monitored with stand-alone commercially available sensors. Additionally, mobility of the elderly was monitored using a custom-built fall and mobility sensor. After successful completion of these trials, several health signs sensors, including the aforementioned fall and mobility sensor, are now integrated in one device. The integration will solve several issues identified in the previous trials. User acceptance, for example, relies heavily on the number of devices used whereas medical significance of the sensor system hinges on the ability to measure a significant number of parameters. Furthermore a significant advantage can be obtained by validating measurements using mobility data obtained with the fall and mobility sensor. The thus obtained context awareness significantly increases reliability of the health signs automatically gathered by the sensor suite. This paper describes the development of the integrated system.
AB - In this paper the integration of a fall and mobility sensor with a health signs monitoring system is described. In a previous version of the system, which was used in trials with elderly volunteers in Ancona, Italy, health signs were monitored with stand-alone commercially available sensors. Additionally, mobility of the elderly was monitored using a custom-built fall and mobility sensor. After successful completion of these trials, several health signs sensors, including the aforementioned fall and mobility sensor, are now integrated in one device. The integration will solve several issues identified in the previous trials. User acceptance, for example, relies heavily on the number of devices used whereas medical significance of the sensor system hinges on the ability to measure a significant number of parameters. Furthermore a significant advantage can be obtained by validating measurements using mobility data obtained with the fall and mobility sensor. The thus obtained context awareness significantly increases reliability of the health signs automatically gathered by the sensor suite. This paper describes the development of the integrated system.
UR - http://www.scopus.com/inward/record.url?scp=67649946899&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2008.4716518
DO - 10.1109/ICSENS.2008.4716518
M3 - Conference contribution
AN - SCOPUS:67649946899
SN - 9781424425808
T3 - Proceedings of IEEE Sensors
SP - 625
EP - 628
BT - 2008 IEEE Sensors, SENSORS 2008
T2 - 2008 IEEE Sensors, SENSORS 2008
Y2 - 26 October 2008 through 29 October 2009
ER -