Arm training in Multiple Sclerosis using Phantom: Clinical relevance of robotic outcome measures

Feys, Peter; Alders, Geert; Gijbels, Domien; Boeck, Joan De; Weyer, Tom De; Coninx, Karin; Raymaekers, Chris; Truyens, Veronik; Groenen, P.; Meijer, Kenneth; Savelberg, Hans; Eijnde, O. Bert

doi:10.1109/icorr.2009.5209607

Cited by 26 publications

(20 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1). The PHANTOM OMNI R from SensAble Technlogies, Inc., which has 6-DOF positional sensing and 3-DOF force feedback, is used for this study as it has already been applied in similar studies [3,4] and is affordable for clinical use. It's workspace (160 W x 120 H x 70 D mm 3 ) is just wide enough to allow a 1:1 scale with the real setup and it's resolution of 55 µm is good enough to obtain a fine measure of human movements.…”

Section: Virtual Nhptmentioning

confidence: 99%

“…A haptic rendering system consisting of a screen (for visual feedback) and a haptic interface (for force feedback) allows immersing the user into a virtual scene [5] and tracking the movements of the user at a high frequency. A growing number of studies demonstrate that these systems give quite reliable information on the user's dexterity, for instance precision and stability [3]. Nevertheless, there are major issues that can interfere with these measures, such as the quality of the visual or force feedback, the limited workspace or the user's inability to link the scene on the screen to a displacement of the interface.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Haptic/VR Assessment Tool for Fine Motor Control

Emery

Samur

Lambercy

et al. 2010

Haptics: Generating and Perceiving Tangible Sensations

View full text Add to dashboard Cite

Abstract. The Nine Hole Peg Test (NHPT) is routinely used in clinical environments to evaluate a patient's fine hand control. A physician measures the total time required to insert nine pegs into nine holes and obtains information on the dexterity of the patient. Even though this method is simple and known to be reliable, using a virtual environment with haptic feedback instead of the classical device could give a more complete diagnosis which would isolate different constituting components of a pathology and objectively assess motor ability. Haptic devices enable extracting a large quantity of information by recording the position and the exerted forces at high frequency (1kHz). In addition to the creation of a realistic virtual counterpart of the NHPT, the present work also includes the implementation of real-time data analysis in order to extract meaningful and objective scores for the physician and the patient. A healthy group of volunteers performed the real and virtual tests which yielded a baseline for the scores of the different measured mobility parameters. Once calibrated, the virtual test successfully discriminates different mobility dysfunctions simulated by a healthy subject.

show abstract

Section: Virtual Nhptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Haptic/VR Assessment Tool for Fine Motor Control

Emery

Samur

Lambercy

et al. 2010

Haptics: Generating and Perceiving Tangible Sensations

View full text Add to dashboard Cite

show abstract

“…Before describing the Social Maze concept, we briefly describe the structured training approach as supported by the I-TRAVLE system. Robot-assisted rehabilitation and virtual environment (VE) technologies are combined in our I-TRAVLE system [3]. Using a haptic robot as the central hardware component, a software and hardware system setup has been realized to support systematic and personalized training for MS and stroke patients.…”

Section: Introductionmentioning

confidence: 99%

The Social Maze: A Collaborative Game to Motivate MS Patients for Upper Limb Training

Weyer

Robert

Hariandja

et al. 2012

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

“…Using a haptic robot as the central hardware component, a software and hardware system setup has been realized to support systematic and personalized training for MS and stroke patients. The patient interface gives access to training exercises and games in virtual environments using haptic feedback [4]. A specific selection of individualized and motivating training exercises is necessary to strive for a successful rehabilitation trajectory.…”

Section: Introductionmentioning

confidence: 99%

“…Because robot-assisted rehabilitation and virtual environment (VE) technologies have proven to be promising tools in addition to traditional therapy to create an even more effective exercise training [2][3], these technologies are combined in our I-TRAVLE system [4]. Using a haptic robot as the central hardware component, a software and hardware system setup has been realized to support systematic and personalized training for MS and stroke patients.…”

Section: Introductionmentioning

confidence: 99%