Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation

HIGHLIGHTS

  • who: Hu00e9lu00e8ne De Canniu00e8re and colleagues from the Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, BelgiumTU Delft, Department of Microelectronics, Circuits and Systems (CAS), AA Delft, The Netherlands have published the research: Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation, in the Journal: (JOURNAL)
  • what: The aim of this study was to investigate whether a multi-parameter sensor could be used during a standardized activity test to interpret functional capacity in the longitudinal follow-up of CR patients. This study showed that wearable . . .

     

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