Optimising Pacemaker Battery Life With Smarter Prediction and Personalised Settings
Researchers from the University of Leeds and Université Grenoble Alpes have developed an algorithm that identifies high-drain pacemaker features, allowing doctors to personalise device settings and extend battery life, reducing replacement surgeries and patient risk.
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