Predicting functional force production capabilities of upper extremity functional electrical stimulation neuroprostheses: a proof of concept study
Predicting functional force production capabilities of upper extremity functional electrical stimulation neuroprostheses: a proof of concept study
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预测上肢功能性电刺激神经假体的功能性力量产生能力：概念验证研究
DOI：
10.1088/1741-2552/ab68b3
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发表时间：
2020
影响因子：
4
通讯作者：
Wolf, Derek N
中科院分区：
文献类型：
--
作者：
Schearer, Eric M;Wolf, Derek N
这项研究的目的是证明在功能性电刺激(FES)神经假体的驱动下，瘫痪手臂的力量产生能力的特定人的预测。这些预测使我们能够确定，对于一个人工作空间中的每个手位置，FES激活的肌肉是否能够产生足够的力量来支撑手臂，以对抗重力和其他被动力量，手臂可能施加在外部物体上的力量，以及FES可以向哪个方向移动手臂。方法我们计算了患有高度四肢瘫痪和FES神经假体的人的力量产生预测，FES神经假体用于激活她肩部和手臂的肌肉。当刺激人体工作空间中不同手腕位置的肌肉时，我们建立了前臂末端产生的力的高斯过程回归模型。对于任何给定的手腕位置，我们预测了一个人可以通过个人肌肉的任何组合产生的所有可能的力。基于力的预测，我们确定了FES是否能够产生足够的力来克服保持手腕位置的被动力，FES在所有方向上可以产生的最大力，以及FES可以移动手臂的方向集。为了估计预测中的误差，我们随后将基于单肌肉模型的力预测与刺激人的肌肉组合时产生的实际力进行了比较。主要结果我们的模型将人在两个阶段中39个手腕位置的保持静态手臂位置的能力正确归类为83%(会话1)和69%(会话2)。我们预测了这个人在手臂末端产生力量的能力，RMS误差为5.5N，FES可以实现运动的方向百分比，RMS误差为10%。这些预测的准确性与文献中发现的自由度更少、肌肉更少的FES系统的准确性相似。意义这些针对人和设备的手臂功能能力预测允许神经假体开发商为他们开发的系统设定可实现的功能目标。这些预测可以潜在地作为临床医生在计划神经假体干预时使用的筛查工具，极大地降低此类干预的风险和不确定性。
ObjectiveThis study's goal was to demonstrate person-specific predictions of the force production capabilities of a paralyzed arm when actuated with a functional electrical stimulation (FES) neuroprosthesis. These predictions allow us to determine, for each hand position in a person's workspace, if FES activated muscles can produce enough force to hold the arm against gravity and other passive forces, the amount of force the arm can potentially exert on external objects, and in which directions FES can move the arm.ApproachWe computed force production predictions for a person with high tetraplegia and an FES neuroprosthesis used to activate muscles in her shoulder and arm. We developed Gaussian process regression models of the force produced at the end of the forearm when stimulating individual muscles at different wrist positions in the person's workspace. For any given wrist position, we predicted all possible forces a person can produce by any combination of individual muscles. Based on the force predictions, we determined if FES could produce force sufficient to overcome passive forces to hold a wrist position, the maximum force FES could produce in all directions, and the set of directions in which FES could move the arm. To estimate the error in our predictions, we then compared our force predictions based on single-muscle models to the actual forces produced when stimulating combinations of the person's muscles.Main resultsOur models classified the person's ability to hold static arm positions correctly for 83%(Session# 1) and 69%(Session# 2) for 39 wrist positions over two sessions. We predicted this person's ability to produce force at the end of her arm with an RMS error of 5.5 N and the percent of directions for which FES could achieve motion with RMS error of 10%. The accuracy of these predictions is similar to that found in the literature for FES systems with fewer degrees of freedom and fewer muscles.SignificanceThese person and device-specific predictions of functional capabilities of the arm allow neuroprosthesis developers to set achievable functional objectives for the systems they develop. These predictions can potentially serve as a screening tool for clinicians to use in planning neuroprosthetic interventions, greatly reducing the risk and uncertainty in such interventions.
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影响因子：
4.3
作者：
Thao T. Duong;J. Englander;Jerry M Wright;D. Cifu;B. Greenwald;Allen W. Brown
通讯作者：
Allen W. Brown
影响因子：
4.8
作者：
Merad, Manelle;Downey, Ryan J.;Dixon, Warren E.
通讯作者：
Dixon, Warren E.
贝克尔肌营养不良症
DOI：
--
发表时间：
1995
期刊：
影响因子：
--
作者：
C. McDonald;R. Abresch;G. Carter;W. Fowler;E. R. Johnson;D. Kilmer
通讯作者：
D. Kilmer
DOI：
10.1109/ner.2019.8717134
发表时间：
2019
期刊：
9th International IEEE/EMBS Conference on Neural Engineering (NER
影响因子：
--
作者：
Schearer, Eric M.;Wolf, Derek N.
通讯作者：
Wolf, Derek N.
DOI：
10.1016/s0003-9993(98)90412-9
发表时间：
1998-12-01
影响因子：
4.3
作者：
Marino, RJ;Shea, JA;Stineman, MG
通讯作者：
Stineman, MG