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It is estimated that 5.4 million people will undergo Renal Replacement Therapy by 2030. Peritoneal dialysis seems to be the most widespread form of home treatment for these patients, but it faces problems related to its adherence. Remote monitoring has the potential to increase treatment adherence. This work aims to design an approach that integrates: (i) a platform for the acquisition of vital signs and other parameters of a patient on peritoneal dialysis; (ii) an environment where customizable rules build Situation Science and, when necessary, send notifications to the medical team; and (iii) a signal and image visualization interface that can be accessed remotely.
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Albandes et al. (2024) studied this question.
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