A Game-Based Solution for In-Home Rehabilitation

Gabrielli, Silvia; Maimone, Rosa; Costa, Cristina; Ascolese, Antonio; Jonsdottir, Johanna; Klein, Wolfhard; Bendersky, Gabriel

doi:10.1007/978-3-319-19656-5_17

Cited by 3 publications

(8 citation statements)

References 9 publications

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“…These data are used to search for a correlation between kinematic performance and scores in standard clinical rating scales. If an increase in kinematic performance and better scores in the clinical rate scales are found, then the result of the evaluation states that the system helps in the rehabilitation process, as described in [19,26,27,32,33,38,[49][50][51]. In order to apply these standard clinical test, the presence of the therapist is required, this represents the disadvantage of these systems.…”

Section: Discussionmentioning

confidence: 99%

“…Some works (14% of total reviewed works) included in-home systems, but the patient's data must be retrieved at given intervals of time [28,32,33,48,49]. More advanced systems (29% of total works) allow sending the patient's data remotely via internet [18,30,31,38,[50][51][52][53][54][55]. Even when these gamified systems were developed for in-home use, 57% of them were not tested at in-home conditions.…”

Section: In-home Usementioning

confidence: 99%

“…The research works concerned only by the gross movement of the patient's arms and hand's positioning, which mobility is basic for achieving the first steps of the patient's independence are: [19, 26, 28, 34, 38, 41-44, 47, 49, 52, 54, 55] (50% of total works). After achieving the gross movement of arms, the next priority is to achieve finer daily life task related exercises such as hand closing/opening [18, 29-31, 45, 50, 51] (14% of total works), pinching, grasping and moving objects [9,25,27,29,32,33,36,46,48,50,51,53] (36% of total works).…”

Section: Type Of Rehabilitationmentioning

confidence: 99%

“…They range from systems that are used in the hospital with the therapist next to the patient, to full in-home systems with allowing the therapist to have constant remote-video communication with the patient. Semi-supervised systems (18% of total works) range from at-hospital systems that need minimal therapist intervention, to in-home systems that allow opening a communication channel between the therapist and the patient [30,31,38,[49][50][51][52].…”

Section: Patient's Monitoringmentioning

confidence: 99%

“…Most of the reviewed works implemented only one game (54% of total works) in order to prove the concept developed in their work. In some cases they have two games [27,30,31,54] (10% of total works), three games [19,25,26,28,46,53] (21% of total works), four games [34] (4% of total works), five games [50,51] (4% of total works), and even nine games [18,29] (7% of total works). Alankus et al [29], tested nine games to explore the space of games that can be used for stroke rehabilitation systems.…”

Section: Varietymentioning

confidence: 99%

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Gamified In-Home Rehabilitation for Stroke Survivors: Analytical Review

Tamayo-Serrano

Garbaya

Blazevic

2018

IJSG

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A stroke is a life-changing event that may end up as a disability, with repercussions on the patient’s quality of life. Stroke rehabilitation therapies are helpful to regain some of the patient’s lost functionality. However, in practice stroke patients may suffer from a gradual loss of motivation. Gamified systems are used to increase user motivation, hence, gamified elements have been implemented into stroke rehabilitation therapies in order to improve patients’ engagement and adherence. This review work focuses on selecting and analyzing developed and validated gamified stroke rehabilitation systems published between 2009 and 2017 to identify the most important features of these systems. After extensive research, 32 articles have met the selection criteria, resulting in a total of 28 unique works. The works were analyzed and a total of 20 features were identified. The features are explained, making emphasis on the works that implement them extensively. Finally, a classification of features based on objectives is proposed, which was used to identify the relationships between features and implementation gaps. It was found that there is a tendency to develop low-cost solutions as in-home therapy systems and provide a variety of games. This review allowed the definition of the opportunities for future research direction such as systems addressing the three rehabilitation areas; data analytics to make decisions; motivational content identification based on automatic engagement detection and emotion recognition; and alert systems for patient´s safety.

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