Internet of Things (IoT) Based Patient Fall Prediction and Monitoring System

Abstract

A large portion of death from an external cause in a hospital setting or care facility is caused by patient getting injured or hurt by falling down due to either disability or medication or by accident. A fall could lead to sustaining severe injuries and fatalities in some rare cases. It is highly unfortunate to get a call from the hospital stating that their family member has been injured by falling down. Elderly people are prone to fall more when compared to others and are also more likely to be fatal. In case of a fall, first aid should be provided immediately so that the fall does not cause fatal consequences. There are very few existing hospitals that can treat elderly people with intensive care and be proactive in tending to the patients. There are also limited technology that can help with detecting the fall. In most cases they turn out to be tardy as there would already have been consequences from the fall. In order to overcome this scenario, we may need special devices and gadgets. Instead of fall detection, determining the fall before it occurs and preventing it, will reduce the cost of treatment, the repercussions involved from the fall and also not make the fall lethal. This paper suggests the techniques of fall prevention that can abate the fall significantly in advance.