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  • Supervised learning classifiers for electrical impedance-based bladder state detection 

    Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O’Halloran, Martin; Porter, Emily (Nature Publishing Group, 2018-03-29)
    Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary ...