ECTRIMS eLearning

Robot-assisted training in MS
ECTRIMS Learn. Feys P. 10/12/18; 232025; 272
Prof. Peter Feys
Prof. Peter Feys
Contributions Biography
Abstract

Abstract: 272

Type: Scientific Session

Abstract Category: N/A

Rehabilitation technology has increasingly being applied in rehabilitation of persons with MS (pwMS), and ranges from high-cost devices such as robots to low-cost devices such as sensors.
First, the presentation will present currently available high-cost and high-tech robotic devices that can enable independent exercise, also in pwMS with high disabilities in the domains of gait and upper limb function. The working principels of serious games and interaction modalities will be discussed.
Second, evidence will be presented. Summarized, there is a strong body of evidence that robotic gait training either with LOKOMAT or endeffector devices is as efficient as conventional walking training, but may be superior in those patients who are currently (at risk for) not walking independently 20m. For the upper limb, similar effects were noted however only investigated in small randomized, or only in (un)controlled trials.
Costs need however to be taken into account when considering implementing robots in the rehabilitation process.
Disclosure: Peter Feys is steering committee member of Neurocompass, participated to advisory board meetings of BIOGEN IDEC, and received teaching honoraria for EXCEMED and PARADIGMS.

Abstract: 272

Type: Scientific Session

Abstract Category: N/A

Rehabilitation technology has increasingly being applied in rehabilitation of persons with MS (pwMS), and ranges from high-cost devices such as robots to low-cost devices such as sensors.
First, the presentation will present currently available high-cost and high-tech robotic devices that can enable independent exercise, also in pwMS with high disabilities in the domains of gait and upper limb function. The working principels of serious games and interaction modalities will be discussed.
Second, evidence will be presented. Summarized, there is a strong body of evidence that robotic gait training either with LOKOMAT or endeffector devices is as efficient as conventional walking training, but may be superior in those patients who are currently (at risk for) not walking independently 20m. For the upper limb, similar effects were noted however only investigated in small randomized, or only in (un)controlled trials.
Costs need however to be taken into account when considering implementing robots in the rehabilitation process.
Disclosure: Peter Feys is steering committee member of Neurocompass, participated to advisory board meetings of BIOGEN IDEC, and received teaching honoraria for EXCEMED and PARADIGMS.

By clicking “Accept Terms & all Cookies” or by continuing to browse, you agree to the storing of third-party cookies on your device to enhance your user experience and agree to the user terms and conditions of this learning management system (LMS).

Cookie Settings
Accept Terms & all Cookies