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Integration of Commercial Wearable Sensors and Social Robots into an Edge-Fog-Cloud Architecture to Support Rehabilitation Practice

  • Marianna Capecci,
  • Elisa Andrenelli,
  • Albin Bajrami,
  • Nicolò Baldini,
  • Gloria Beraldo,
  • Maria Gabriella Ceravolo,
  • Francesco Crudele,
  • Leonardo D’Alessandro,
  • Massimiliano D’Amico,
  • Alessandro De Robertis,
  • Maurizio Gaziano,
  • Angela la Forgia,
  • Alessia Laforgia,
  • Giovanni Melone,
  • Matteo Palpacelli,
  • Alessandro Umbrico,
  • Gabriella Cortellessa

摘要

Given the current increasing age of the population, there is a growing demand for treatment, rehabilitation, and care services for neurological disorders. With the expected demand, the major challenge is designing sustainable care processes that guarantee the required levels of intensity, personalization, and continuity. Modern technologies may play a central role in realizing innovative distributed care processes capable of optimizing resources (i.e., the workload of therapists and healthcare professionals) and facilitating communication and knowledge sharing. This work introduces a study assessing the feasibility, including acceptability and adherence, of integrating wearable sensing devices and a robotic platform into the inpatient intensive rehabilitation care process for evaluating and treating individuals with emerging neurological disabilities.