The AI-enabled device aims to provide a more efficient way of monitoring wound recovery.
The artificial intelligence-enabled device aims to provide a more efficient way of monitoring wound recovery, as well as improve wound care and management.
A paper on the researchers’ work on the sensor patch, which was developed in collaboration with a research team from the Nanyang Technological University and the Skin Research Institute of Singapore, was published in the scientific journal Science Advances in June. The issue of wound management is especially relevant in an ageing society like Singapore, where most wounds are experienced by those aged 80 and above, he added.
Each sensor patch features a panel in the shape of a flower, with each of its five petals acting as a sensor for one of five markers – the temperature of a wound, its acidity, moisture levels as well as the presence of uric acid and trimethylamine, a chemical compound. The researchers noted that lab experiments showed the Petal sensor patch had an accuracy rate of 97% in differentiating healing and non-healing chronic and burn wounds.
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