Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images has a great significance to analyze and evaluate the function of cardiovascular system. However, the complex structure of CBV image makes fully automatic segmentation as a well-known challenge.
This paper presents a new platform to monitor the arm and hand activity of stroke patients during rehabilitation exercises in hospital and at home during their daily living activities. The platform provides relevant data to the therapist in order to assess the patients physical state and adapt the rehabilitation program if necessary.
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