Social Assistive Robots: Assessing the Impact of a Training Assistant Robot in Cardiac Rehabilitation
- PDF / 1,016,837 Bytes
- 15 Pages / 595.276 x 790.866 pts Page_size
- 105 Downloads / 201 Views
Social Assistive Robots: Assessing the Impact of a Training Assistant Robot in Cardiac Rehabilitation Jonathan Casas1 · Emmanuel Senft2 · Luisa F. Gutiérrez3 · Mónica Rincón-Rocancio3 · Marcela Múnera4 Tony Belpaeme5 · Carlos A. Cifuentes4
·
Accepted: 30 September 2020 © Springer Nature B.V. 2020
Abstract According to the world health organization, cardiovascular diseases are a major cause of death worldwide. Cardiac rehabilitation programmes are dedicated to approach this problem and reduce mortality rates due to the presence of a second event. However, the adherence and motivation of patients to assist to these programmes is not the expected. Therefore, this paper presents the incorporation of a SAR system into a cardiac rehabilitation scenario, where a social robot had the role of a training assistant during the therapy, aiming to increase motivation and encourage people to continue with the therapy. This study carried out a longitudinal experimental setup with a total of 209 sessions observed for a group of 6 patients in a period between 3 and 6 months. Results show that patients felt more encouraged to perform physical activity and continue with the rehabilitation when they perceived that monitored and supervised by the system, demonstrating that it can be implemented as a reliable tool that would potentially leverage tasks carried out by health professionals. Keywords Socially assistive robotics · Human–robot interaction · Cardiac rehab · Robot-based therapy
1 Introduction
B
Carlos A. Cifuentes [email protected] Jonathan Casas [email protected] Emmanuel Senft [email protected] Luisa F. Gutiérrez [email protected] Mónica Rincón-Rocancio [email protected] Marcela Múnera [email protected] Tony Belpaeme [email protected]
1
Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA
2
Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA
3
Fundación Cardioinfantil-Instituto de Cardiología, Bogota, Colombia
4
Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota, Colombia
5
IDLab - imec, Ghent University, Ghent, Belgium
Cardiovascular diseases (CVD’s) are a critical health problem worldwide in which significant attention and effort must be put into action [1]. Cardiac Rehabilitation (CR) programmes are dedicated to approach this problematic. However, despite the importance of attending the whole CR therapy, the adherence associated to the programme does not reach a desirable level, since it is a long-term intervention. Different studies in many countries have found that the adherence to CR programmes is not higher than 50% [2–4]. Additionally, a study showed that people at high cardiovascular risk have demonstrated a high prevalence of unhealthy lifestyles, increasing risk factors and inadequate use of drug therapies to achieve blood pressure and lipid goals [5]. Most recently, a survey of coronary patients showed that after a median time of 1.35 years after their
Data Loading...
