Title :
Determination of Sit-to-Stand Transfer Duration Using Bed and Floor Pressure Sequences
Author :
Arcelus, Amaya ; Herry, Christophe L. ; Goubran, Rafik A. ; Knoefel, Frank ; Sveistrup, Heidi ; Bilodeau, Martin
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Abstract :
The duration of a sit-to-stand (SiSt) transfer is a representative measure of a person´s status of physical mobility. This paper measured the duration unobtrusively and automatically using a pressure sensor array under a bed mattress and a floor plate beside the bed. Pressure sequences were extracted from frames of sensor data measuring bed and floor pressure over time. The start time was determined by an algorithm based on the motion of the center of pressure (COP) on the mattress toward the front edge of the bed. The end time was determined by modeling the foot pressure exerted on the floor in the wavelet domain as the step response of a third-order transfer function. As expected, young and old healthy adults generated shorter SiSt durations of around 2.31 and 2.88 s, respectively, whereas post-hip fracture and post-stroke adults produced longer SiSt durations of around 3.32 and 5.00 s. The unobtrusive nature of pressure sensing techniques used in this paper provides valuable information that can be used for the ongoing monitoring of patients within extended-care facilities or within the smart home environment.
Keywords :
biomedical equipment; biomedical measurement; intelligent sensors; patient care; patient monitoring; pressure sensors; sensor arrays; time measurement; transfer functions; wavelet transforms; bed mattress; floor plate; foot pressure modeling; patient care; patient monitoring; physical mobility; pressure sensor array; pressure sequences; sit-to-stand transfer duration; smart home environment; third-order transfer function; wavelet domain; Accelerometers; Biomedical measurements; Data mining; Foot; Light emitting diodes; Monitoring; Patient monitoring; Pressure measurement; Sensor arrays; Smart homes; Systems engineering and theory; Time measurement; Wavelet domain; Biomedical monitoring; intelligent sensors; modeling; pressure sensing; smart home technology; Activities of Daily Living; Adolescent; Adult; Algorithms; Artificial Intelligence; Beds; Floors and Floorcoverings; Humans; Middle Aged; Monitoring, Physiologic; Movement; Posture; Pressure; Signal Processing, Computer-Assisted; Statistics, Nonparametric; Stroke; Video Recording;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2026733