Asya Mikhaylov (Israel)
Ben-Gurion University of the Negev
Biomedical Engineering
I was a M.Sc. student under the supervision of Prof. Ilana Nisky from the department of Bio-Medical Engineering and Dr. Simona Bar-Haim from the department of Physiotherapy at Ben-Gurion University. My work is a part of a larger research, which is conducted in collaboration with Yogev Koren from the department of Physiotherapy, where the effect of gaze on stability and gait is investigated among the elderly and stroke-survivors. My research focuses on the assessment of proprioception of the lower-limbs among young adults, elderly and, stroke survivors, which will be discussed in this conference. I hold B.Sc. and M.Sc. in Biomedical Engineering from the Ben-Gurion University of the Negev and my research was sponsored by the Israeli Ministry of Science and Technology and the multidisciplinary scholarship of Ben-Gurion University of the Negev. Currentley, I work in "Adi-Negev" as a research and development engineer, in a project sponsored by the Israel Innovation Authority, working on developing a sensory substitution device for stroke survivors with impaired gait and somatosensory deficits.

Presenter of 1 Presentation

 Conference Calendar

A NOVEL TOOL FOR QUANTITATIVE ASSESSMENT OF LOWER LIMB PROPRIOCEPTION: A DEMONSTRATION WITH A STROKE SURVIVOR

Session Name
0310 - Stroke Rehabilitation and Recovery (ID 102)
Session Type
Oral Presentations
Date
27.10.2021, Wednesday
Session Time
12:00 - 13:00
Room
ORAL PRESENTATIONS 1
Presenter
Lecture Time
13:00 - 13:10

Abstract

Background and Aims

Stroke is a common cause for proprioceptive impairments. Current clinical proprioception assessment methods are subjective and inconsistent. To address these limitations, we developed a quantitative assessment tool of lower limb proprioception.

Methods

We developed a tool using magnetic position trackers placed on the toes of the participants while laying on their sides. We evaluated the affected (A) and unaffected (U) limbs with ipsilateral (UU, AA) and contralateral (UA, AU) position matching conditions. We compared young adults and stroke survivors' mean-absolute-error (MAE), bias, and mean-variable-error (MVE). We defined a threshold of 90% of cumulative distribution in two targets to detect impairment and compared the conditions to isolate potential proprioceptive, motor or cognitive impairments. For example, impaired AU and AA would indicate a likely proprioceptive impairment of the affected limb.

Results

Conditions AU, AA and UU were impaired, suggesting potential proprioceptive and motor impairments of the affected and unaffected limbs, respectively, and a spatial memory impairment.

Conclusions

We demonstrated the tool's usage with a stroke survivor (Fig 1), who displayed potential impairments. Without confounding effects of fatigue, the patient likely suffered from proprioceptive and motor impairments in the affected and unaffected limbs, respectively.

edms (1).png

Acknowledgments: Special acknowledgments to the Israeli Ministry of Science and Technology and the Multidisciplinary scholarship of Ben-Gurion University of the Negev for funding and Noy Goldhamer for assistance.

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