MAGNI: A Real-Time Robot-Aided Game-Based Tele-Rehabilitation System

Gattupalli, Srujana; Lioulemes, Alexandros; Gieser, Shawn N.; Sassaman, Paul; Athitsos, Vassilis; Makedon, Fillia

doi:10.1007/978-3-319-40238-3_33

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…Further, [ 31 ] disseminates the results of a 3D video game-based rehabilitation combined with a 4 DOF Barrett WAM Robotic Arm. This system is provided with a Graphical User Interface (GUI) that permits interaction between doctor, robot, and patient.…”

Section: Related Workmentioning

confidence: 99%

“…According to an analysis of the previously mentioned articles, the GUI is implemented in all of the proposed architecture except for [ 18 , 19 , 35 ]; the EMG sensor is not implemented in the majority of the discussed papers [ 18 , 19 , 30 , 31 , 34 , 36 , 37 ]. Furthermore, there is a discrepancy between the rehabilitation strategies, none of the systems presented are able to offer both the possibility to choose between default exercises and the possibility to create exercises and adapt, i.e., either to follow a pre-defined rehabilitation pathway or to create an exercise that the robot will reproduce.…”

Section: Related Workmentioning

confidence: 99%

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Robot-Assisted Rehabilitation Architecture Supported by a Distributed Data Acquisition System

Chellal

Lima

Gonçalves

et al. 2022

Sensors

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Rehabilitation robotics aims to facilitate the rehabilitation procedure for patients and physical therapists. This field has a relatively long history dating back to the 1990s; however, their implementation and the standardisation of their application in the medical field does not follow the same pace, mainly due to their complexity of reproduction and the need for their approval by the authorities. This paper aims to describe architecture that can be applied to industrial robots and promote their application in healthcare ecosystems. The control of the robotic arm is performed using the software called SmartHealth, offering a 2 Degree of Autonomy (DOA). Data are gathered through electromyography (EMG) and force sensors at a frequency of 45 Hz. It also proves the capabilities of such small robots in performing such medical procedures. Four exercises focused on shoulder rehabilitation (passive, restricted active-assisted, free active-assisted and Activities of Daily Living (ADL)) were carried out and confirmed the viability of the proposed architecture and the potential of small robots (i.e., the UR3) in rehabilitation procedure accomplishment. This robot can perform the majority of the default exercises in addition to ADLs but, nevertheless, their limits were also uncovered, mainly due to their limited Range of Motion (ROM) and cost.

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Section: Related Workmentioning

confidence: 99%