Title :
Identifying Movement Onset Times for a Bed-Based Pressure Sensor Array
Author :
Jones, M. Howell ; Goubran, R. ; Knoefel, F.
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont.
Abstract :
Movement in bed-placed pressure arrays often interferes with measurements. A method for automatically determining movement onset times from a bed-based pressure sensor array is proposed. By using control levels based on a moving average and the moving variance, the method can adapt to changing positions and postures of the bed occupant. A simulation was performed on a generated 24-hour pressure signal. The proposed algorithm accurately identified 97.4% of the simulated onset times. Experimental data from two subjects sleeping on the pad at night show similar results to the simulation. Using movement times, we may identify sleep restlessness as well as posture and position changes
Keywords :
biomechanics; biomedical equipment; biomedical measurement; geriatrics; monitoring; moving average processes; pressure sensors; sensor fusion; sleep; 24 hr; aging; automatic measurement; bed-based pressure sensor array; data fusion; movement onset time; moving average method; moving variance method; nocturnal monitoring; position change; postural change; Aging; Biomedical monitoring; Intelligent sensors; Patient monitoring; Pressure measurement; Sensor arrays; Sensor fusion; Sleep; Systems engineering and theory; Tracking;
Conference_Titel :
Medical Measurement and Applications, 2006. MeMea 2006. IEEE International Workshop on
Conference_Location :
Benevento
Print_ISBN :
1-4244-0253-0
DOI :
10.1109/MEMEA.2006.1644474