A new system has been designed by a team of researchers from Iraq and the University of South Australia to remotely monitor elderly people, detecting abnormalities in their heart rate and temperature that can lead to falls, and provide urgent first aid via a drone if a fall occurs.

The researchers describe how a wearable device can monitor vital signs using a wireless sensor attached to the upper arm and send a message to an emergency call center if physiological abnormalities or a fall are detected. They say that when a case is critical, first aid supplies can be delivered to the patient and their caregiver via a drone, up to 105 seconds faster than by ambulance.

The system not only correctly measures heart rate and falls with 99 per cent accuracy, but also identifies the elderly person’s location to deliver the first aid. They have also designed an advanced smartphone-based program that uses an intelligent autopilot, containing a destination waypoint for planning the path of a drone.

The fall detection device consists of a microcontroller, two biosensors, a GPS module to track the location, and a GSM module to send a notification to the smartphones of caregivers. The second part includes a first aid package, a smartphone and a drone to deliver the package.

It is estimated that around 30 per cent of adults over the age of 65 experience at least one fall a year, in many cases fracturing a hip, or sustaining head injuries. The annual global cost of fall-related acute care for older people has risen dramatically in recent years as the world’s population ages. In Australia, the annual cost exceeds $600 million, and this figure blows out to billions of dollars each year in the United States and other parts of the world. The most recent figures show that falls account for 40 per cent of injury-related deaths and one per cent of total deaths in people aged over 65 years.

For more information, contact Candy Gibson at This email address is being protected from spambots. You need JavaScript enabled to view it..


Sensor Technology Magazine

This article first appeared in the March, 2020 issue of Sensor Technology Magazine.

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