Bed exits monitoring is critical for establishing the mobility trend of patients. The development and design of an intelligent bed system can be implemented to monitor and prevent the fall and to help immediately, especially in the elderly patients. In this paper, the detection of the patient using FlexiForce sensors 100 lbs based on the basic amplifier is focused. Four sensors are installed at the base of the bed to produce a voltage output and investigate the signs of emerging change. An analyzed mattress is divided into three parts (middle, left, right) to detect a full coverage area of the patient motions before and after leaving the bed. In this case, the voltage variation will be inputs of Support Vector Machine (SVM) classifier to identify the fall mode, i.e., fall or not, which is shown on the monitor and the alarm sound in real-time mode. This indicates that the system can be used for the bed exits monitoring to prevent a fall to help the patients in time.
Keywords:
Mornitoring, Bed sensor, Intelligent system, Real-Time, Support vector machine.
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