A battery-less and wireless wearable sensor system for identifying bed and chair exits in a pilot trial in hospitalized older people.

ABSTRACT: Falls in hospitals are common, therefore strategies to minimize the impact of these events in older patients and needs to be examined. In this pilot study, we investigate a movement monitoring sensor system for identifying bed and chair exits using a wireless wearable sensor worn by hospitalized older patients. We developed a movement monitoring sensor system that recognizes bed and chair exits. The system consists of a machine learning based activity classifier and a bed and chair exit recognition process based on an activity score function. Twenty-six patients, aged 71 to 93 years old, hospitalized in the Geriatric Evaluation and Management Unit participated in the supervised trials. They wore over their attire a battery-less, lightweight and wireless sensor and performed scripted activi

SUBMITTER: Shinmoto Torres RL 

PROVIDER: S-EPMC5633180 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature