A Socially Assistive Robot for Long-Term Cardiac Rehabilitation in the Real World

Author:

Céspedes Nathalia,Irfan Bahar,Senft Emmanuel,Cifuentes Carlos A.,Gutierrez Luisa F.,Rincon-Roncancio Mónica,Belpaeme Tony,Múnera Marcela

Abstract

What are the benefits of using a socially assistive robot for long-term cardiac rehabilitation? To answer this question we designed and conducted a real-world long-term study, in collaboration with medical specialists, at the Fundación Cardioinfantil-Instituto de Cardiología clinic (Bogotá, Colombia) lasting 2.5 years. The study took place within the context of the outpatient phase of patients' cardiac rehabilitation programme and aimed to compare the patients' progress and adherence in the conventional cardiac rehabilitation programme (control condition) against rehabilitation supported by a fully autonomous socially assistive robot which continuously monitored the patients during exercise to provide immediate feedback and motivation based on sensory measures (robot condition). The explicit aim of the social robot is to improve patient motivation and increase adherence to the programme to ensure a complete recovery. We recruited 15 patients per condition. The cardiac rehabilitation programme was designed to last 36 sessions (18 weeks) per patient. The findings suggest that robot increases adherence (by 13.3%) and leads to faster completion of the programme. In addition, the patients assisted by the robot had more rapid improvement in their recovery heart rate, better physical activity performance and a higher improvement in cardiovascular functioning, which indicate a successful cardiac rehabilitation programme performance. Moreover, the medical staff and the patients acknowledged that the robot improved the patient motivation and adherence to the programme, supporting its potential in addressing the major challenges in rehabilitation programmes.

Funder

Royal Academy of Engineering

Departamento Administrativo de Ciencia, Tecnologïa e InnovaciÃn

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Biomedical Engineering

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