Fatigue-aware videogame using biocybernetic adaptation: a pilot study for upper-limb rehabilitation with sEMG

Montoya, Maria F.; Muñoz, John Edison; Henao, Oscar

doi:10.1007/s10055-021-00561-y

Cited by 7 publications

(1 citation statement)

References 27 publications

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“…An alternative for kinematic recognition is the use of strain sensors as in [ 26 ]. In another study, muscular information from sEMG sensors was used to detect upper-limb fatigue levels [ 27 , 28 ]. The use of haptic feedback has also been a matter of interest in some studies to show quantitative improvements in children with neuromotor disorders [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

ARMIA: A Sensorized Arm Wearable for Motor Rehabilitation

et al. 2022

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In this paper, we present ARMIA: a sensorized arm wearable that includes a combination of inertial and sEMG sensors to interact with serious games in telerehabilitation setups. This device reduces the cost of robotic assistance technologies to be affordable for end-users at home and at rehabilitation centers. Hardware and acquisition software specifications are described together with potential applications of ARMIA in real-life rehabilitation scenarios. A detailed comparison with similar medical technologies is provided, with a specific focus on wearable devices and virtual and augmented reality approaches. The potential advantages of the proposed device are also described showing that ARMIA could provide similar, if not better, the effectivity of physical therapy as well as giving the possibility of home-based rehabilitation.

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