Colour-coded output from smartwatch device would be easy for public to read
They remain some of the most complex diagnostic procedures carried out by doctors. To take an electrocardiogram, or ECG, they first have to attach 10 or more electrodes to a patient’s chest, arms and legs to measure the heart’s electrical activity. Then, once these signals have been recorded, a cardiologist has to interpret them to determine if a person has a particular heart ailment.
“There are smartwatches that will take ECGs at present, but they provide only minimal information,” said Prof Caroline Jay, of Manchester University. “We are taking this data, and working on software applications that will allow a person to get a much more detailed picture of the state of their heart, and potentially flag life-threatening conditions to them.”
To achieve this, researchers have used AI as well as knowledge of cognitive psychology and visual perception to create colour-coded versions of an ECG in a way that clearly indicates if patients have a life-threatening condition, are at risk of one or if they are free of such danger.
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