Wearable devices to monitor hiking and falls

The Higher Institute of Health estimates that by 2050, the percentage of elderly people will double increasing from 11% to 22%. 

This means that health facilities may have to handle a number of people that we had never seen before. 

In this context, every action aimed at preventing health problems, especially for the most vulnerable people such as the edlerlt, could avoid the congestion of health facilities. 

Among the most frequent problems for this type of populatio, falls are a frequent concern, often leading to incomplete recovery of motricity and, in some cases, proving to be fatal. 

Thanks to the use of wearable devices that constanlty monitor the hiking of the person wearing the device and the use of artificial intelligence algorithms, it is possible to evaluate the quality of a person's hiking and therefore try to predict a potential fall. 

In fact, once the system detects that a situation is potentially dangerous (e.g. ''high probability of a fall in the next 1-5 days), the doctor can intervene, for example, by changing the therapy or prescribing specific visits in order to minimize the risk of a fall event.