文章基本信息

标题：Multimodal assessment of spasticity using a point-of-care instrumented glove to separate neural and biomechanical contributions
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作者：Moran Amit ; Cagri Yalcin ; Jiaxi Liu 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2022
卷号：25
期号：11
页码：1-17
DOI：10.1016/j.isci.2022.105286
语种：English
出版社：Elsevier
摘要：SummaryAccurate assessment of spasticity is crucial for physicians to select the most suitable treatment for patients. However, the current clinical practice standard is limited by imprecise assessment scales relying on perception. Here, we equipped the clinician with a portable, multimodal sensor glove to shift bedside evaluations from subjective perception to objective measurements. The measurements were correlated with biomechanical properties of muscles and revealed dynamic characteristics of spasticity, including catch symptoms and velocity-dependent resistance. Using the biomechanical data, a radar metric was developed for ranking severity in spastic knees and elbows. The continuous monitoring results during anesthesia induction enable the separation of neural and structural contributions to spasticity in 21 patients. This work delineated effects of reflex excitations from structural abnormalities, to classify underlying causes of spasticity that will inform treatment decisions for evidence-based patient care.Graphical abstractDisplay OmittedHighlights•Tool to shift from subjective scales to objective metrics in spasticity evaluation•Develop a multifaceted metric to rank severity based on biomechanical properties•Delineate effects of hyper-reflexes and structural abnormalities in spastic musclesHealth technology; Clinical neuroscience; Bioelectronics