Kinect system in home-based cardiovascular rehabilitation

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Vieira, A (Author) Other; Joaquim Gabriel Magalhães Mendes (Author) FEUP; Melo, C (Author) Other; Machado, J (Author) Other

Journal

Title: Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Vol. 231

Pages: 40-47

ISSN: 0954-4119

Publisher: SAGE

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 12 Citations

Other information

Authenticus ID: P-00M-CNG

DOI: 10.1177/0954411916679201

Abstract (EN): Cardiovascular diseases lead to a high consumption of financial resources. An important part of the recovery process is the cardiovascular rehabilitation. This study aimed to present a new cardiovascular rehabilitation system to 11 outpatients with coronary artery disease from a Hospital in Porto, Portugal, later collecting their opinions. This system is based on a virtual reality game system, using the Kinect sensor while performing an exercise protocol which is integrated in a home-based cardiovascular rehabilitation programme, with a duration of 6 months and at the maintenance phase. The participants responded to a questionnaire asking for their opinion about the system. The results demonstrated that 91% of the participants (n = 10) enjoyed the artwork, while 100% (n = 11) agreed on the importance and usefulness of the automatic counting of the number of repetitions, moreover 64% (n = 7) reported motivation to continue performing the programme after the end of the study, and 100% (n = 11) recognized Kinect as an instrument with potential to be an asset in cardiovascular rehabilitation. Criticisms included limitations in motion capture and gesture recognition, 91% (n = 10), and the lack of home space, 27% (n = 3). According to the participants' opinions, the Kinect has the potential to be used in cardiovascular rehabilitation; however, several technical details require improvement, particularly regarding the motion capture and gesture recognition.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8