A Serious Game for Training and Evaluating the Balance of Hemiparetic Stroke Patients

Noveletto, Fabrício; Bertemes-Filho, Pedro; Hounsell, Marcelo da Silva; Soares, Antônio Vinícius

doi:10.1007/978-3-319-19387-8_274

Cited by 3 publications

(1 citation statement)

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“…There are numerous sorts of stroke rehabilitation exercises that focus on technological solutions, such as games-based therapies [50] and even when applying some commercial games [51]. In comparison to traditional techniques, the employment of stroke rehabilitation systems based on serious games is an appealing choice for dealing with challenges such as distant rehabilitation or limited access, therapeutics [52], multi-patient treatment, monotonous repetitive chores, motorics [53], motivation [54] and numerous cognitive issues [55,56]. A literature study by Doumas [57] showed that the difficulty level of stroke recovery games can be customized to each patient's performance in this context, and this individualized adaptation was identified as the key issue of game creation.…”

Section: Serious Games Targeting Stroke Rehabilitationmentioning

confidence: 99%

Deep Reinforcement Learning-Based iTrain Serious Game for Caregivers Dealing with Post-Stroke Patients

et al. 2022

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This paper describes a serious game based on a knowledge transfer model using deep reinforcement learning, with an aim to improve the caretakers’ knowledge and abilities in post-stroke care. The iTrain game was designed to improve caregiver knowledge and abilities by providing non-traditional training to formal and informal caregivers who deal with stroke survivors. The methodologies utilized professional medical experiences and real-life evidence data gathered during the duration of the iTrain project to create the scenarios for the game’s deep reinforcement caregiver behavior improvement model, as well as the design of game mechanics, game images and game characters, and gameplay implementation. Furthermore, the results of the game’s direct impact on caregivers (n = 25) and stroke survivors (n = 21) in Lithuania using the Geriatric Depression Scale (GDS) and user experience questionnaire (UEQ) are presented. Both surveys had favorable outcomes, showing the effectiveness of the approach. The GDS scale (score 10) revealed a low number of 28% of individuals depressed, and the UEQ received a very favorable grade of +0.8.

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