Monika Zbytniewska - Academia.edu (original) (raw)
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Papers by Monika Zbytniewska
Additional file 1. Supplementary material.
Journal of NeuroEngineering and Rehabilitation, 2021
Background Neurological injuries such as stroke often differentially impair hand motor and somato... more Background Neurological injuries such as stroke often differentially impair hand motor and somatosensory function, as well as the interplay between the two, which leads to limitations in performing activities of daily living. However, it is challenging to identify which specific aspects of sensorimotor function are impaired based on conventional clinical assessments that are often insensitive and subjective. In this work we propose and validate a set of robot-assisted assessments aiming at disentangling hand proprioceptive from motor impairments, and capturing their interrelation (sensorimotor impairments). Methods A battery of five complementary assessment tasks was implemented on a one degree-of-freedom end-effector robotic platform acting on the index finger metacarpophalangeal joint. Specifically, proprioceptive impairments were assessed using a position matching paradigm. Fast target reaching, range of motion and maximum fingertip force tasks characterized motor function defici...
2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2020
Neurological injuries often lead to hand sensorimotor deficits, such as impaired corrective respo... more Neurological injuries often lead to hand sensorimotor deficits, such as impaired corrective responses to mechanical disturbances. That is frequently caused by difficulties in integrating sensory feedback when executing motor responses and affects the general ability to interact with the external environment. It is challenging to quantitatively assess such impairments using clinical measures, whereas the existing robotic approaches mainly target shoulder joints. This work presents design and preliminary evaluation of a robot-assisted assessment of hand sensorimotor function, in which subjects need to rely on proprioceptive feedback to actively correct for load perturbations. The task is implemented on a one degree-of-freedom robotic platform focused on the index finger metacarpophalangeal joint, which can apply a precise stimuli and measure kinematic responses. In a study with six healthy young subjects we investigated four different load perturbations parameters (1.5N step-, 3N step...
[Lamers, Ilse; Raats, Joke; Feys, Peter] Hasselt Univ, REVAL Rehabil Res Ctr, BIOMED Biomed Res I... more [Lamers, Ilse; Raats, Joke; Feys, Peter] Hasselt Univ, REVAL Rehabil Res Ctr, BIOMED Biomed Res Inst, Fac Rehabil Sci, Hasselt, Belgium. [Lamers, Ilse] Rehabil & MS Ctr, Overpelt, Belgium. [Rinderknecht, Mike D.; Zbytniewska, Monika; Gassert, Roger; Lambercy, Olivier] Swiss Fed Inst Technol, Rehabil Engn Lab, Dept Hlth Sci & Technol, Zurich, Switzerland.
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021
Additional file 1. Supplementary material.
Journal of NeuroEngineering and Rehabilitation, 2021
Background Neurological injuries such as stroke often differentially impair hand motor and somato... more Background Neurological injuries such as stroke often differentially impair hand motor and somatosensory function, as well as the interplay between the two, which leads to limitations in performing activities of daily living. However, it is challenging to identify which specific aspects of sensorimotor function are impaired based on conventional clinical assessments that are often insensitive and subjective. In this work we propose and validate a set of robot-assisted assessments aiming at disentangling hand proprioceptive from motor impairments, and capturing their interrelation (sensorimotor impairments). Methods A battery of five complementary assessment tasks was implemented on a one degree-of-freedom end-effector robotic platform acting on the index finger metacarpophalangeal joint. Specifically, proprioceptive impairments were assessed using a position matching paradigm. Fast target reaching, range of motion and maximum fingertip force tasks characterized motor function defici...
2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2020
Neurological injuries often lead to hand sensorimotor deficits, such as impaired corrective respo... more Neurological injuries often lead to hand sensorimotor deficits, such as impaired corrective responses to mechanical disturbances. That is frequently caused by difficulties in integrating sensory feedback when executing motor responses and affects the general ability to interact with the external environment. It is challenging to quantitatively assess such impairments using clinical measures, whereas the existing robotic approaches mainly target shoulder joints. This work presents design and preliminary evaluation of a robot-assisted assessment of hand sensorimotor function, in which subjects need to rely on proprioceptive feedback to actively correct for load perturbations. The task is implemented on a one degree-of-freedom robotic platform focused on the index finger metacarpophalangeal joint, which can apply a precise stimuli and measure kinematic responses. In a study with six healthy young subjects we investigated four different load perturbations parameters (1.5N step-, 3N step...
[Lamers, Ilse; Raats, Joke; Feys, Peter] Hasselt Univ, REVAL Rehabil Res Ctr, BIOMED Biomed Res I... more [Lamers, Ilse; Raats, Joke; Feys, Peter] Hasselt Univ, REVAL Rehabil Res Ctr, BIOMED Biomed Res Inst, Fac Rehabil Sci, Hasselt, Belgium. [Lamers, Ilse] Rehabil & MS Ctr, Overpelt, Belgium. [Rinderknecht, Mike D.; Zbytniewska, Monika; Gassert, Roger; Lambercy, Olivier] Swiss Fed Inst Technol, Rehabil Engn Lab, Dept Hlth Sci & Technol, Zurich, Switzerland.
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021