Specifications and functional impact of a self-triggered grasp neuroprosthesis developed to restore prehension in hemiparetic post-stroke subjects.

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
R Le Guillou, J Froger, M Morin, M Couderc, C Cormier, C Azevedo-Coste, D Gasq
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引用次数: 0

Abstract

Background: Stroke is the leading cause of acquired motor deficiencies in adults. Restoring prehension abilities is challenging for individuals who have not recovered active hand opening capacities after their rehabilitation. Self-triggered functional electrical stimulation applied to finger extensor muscles to restore grasping abilities in daily life is called grasp neuroprosthesis (GNP) and remains poorly accessible to the post-stroke population. Thus, we developed a GNP prototype with self-triggering control modalities adapted to the characteristics of the post-stroke population and assessed its impact on abilities.

Methods: Through two clinical research protocols, 22 stroke participants used the GNP and its control modalities (EMG activity of a pre-defined muscle, IMU motion detection, foot switches and voice commands) for 3 to 5 sessions over a week. The NeuroPrehens software interpreted user commands through input signals from electromyographic, inertial, foot switches or microphone sensors to trigger an external electrical stimulator using two bipolar channels with surface electrodes. Users tested a panel of 9 control modalities, subjectively evaluated in ease-of-use and reliability with scores out of 10 and selected a preferred one before training with the GNP to perform functional unimanual standardized prehension tasks in a seated position. The responsiveness and functional impact of the GNP were assessed through a posteriori analysis of video recordings of these tasks across the two blinded evaluation multi-crossover N-of-1 randomized controlled trials.

Results: Non-paretic foot triggering, whether from EMG or IMU, received the highest scores in both ease-of-use (median scores out of 10: EMG 10, IMU 9) and reliability (EMG 9, IMU 9) and were found viable and appreciated by users, like voice control and head lateral inclination modalities. The assessment of the system's general responsiveness combined with the control modalities latencies revealed median (95% confidence interval) durations between user intent and FES triggering of 333 ms (211 to 561), 217 ms (167 to 355) and 467 ms (147 to 728) for the IMU, EMG and voice control types of modalities, respectively. The functional improvement with the use of the GNP was significant in the two prehension tasks evaluated, with a median (95% confidence interval) improvement of 3 (- 1 to 5) points out of 5.

Conclusions: The GNP prototype and its control modalities were well suited to the post-stroke population in terms of self-triggering, responsiveness and restoration of functional grasping abilities. A wearable version of this device is being developed to improve prehension abilities at home.

Trial registration: Both studies are registered on clinicaltrials.gov: NCT03946488, registered May 10, 2019 and NCT04804384, registered March 18, 2021.

自触发抓取神经假体的规格和功能影响,以恢复中风后偏瘫受试者的抓取能力。
背景:中风是成人获得性运动缺陷的主要原因。恢复抓握能力是具有挑战性的个人谁没有恢复主动手开放能力后,他们的康复。应用于手指伸肌的自触发功能性电刺激来恢复日常生活中的抓握能力被称为抓握神经假体(GNP),在中风后人群中仍然很难获得。因此,我们开发了一个具有自触发控制模式的GNP原型,以适应中风后人群的特点,并评估其对能力的影响。方法:通过两项临床研究方案,22名中风参与者在一周内使用GNP及其控制模式(预定义肌肉的肌电活动,IMU运动检测,脚开关和语音命令)进行3至5次。neuropreens软件通过肌电图、惯性、脚踏开关或麦克风传感器的输入信号来解释用户命令,从而触发外部电刺激器,使用两个带有表面电极的双极通道。用户测试了一组9种控制方式,主观评价了易用性和可靠性,得分为10分,并在国民生产总值训练之前选择了一种首选方式,以便在坐姿中执行功能单一的标准化抓取任务。通过对两项盲法评估多交叉N-of-1随机对照试验中这些任务的视频记录的后验分析,评估了GNP的响应性和功能影响。结果:无论是EMG还是IMU,非麻痹性足触发在易用性(EMG 10分,IMU 9分)和可靠性(EMG 9分,IMU 9分)方面都获得了最高分,并且与语音控制和头部侧向倾斜方式一样,被用户认为是可行和赞赏的。对系统总体响应性和控制模式延迟的评估显示,在IMU、EMG和语音控制模式中,用户意图和FES触发之间的持续时间中位数(95%置信区间)分别为333毫秒(211至561)、217毫秒(167至355)和467毫秒(147至728)。在评估的两个理解任务中,使用GNP的功能改进是显着的,中位数(95%置信区间)改进为3(- 1至5)分(满分5分)。结论:GNP原型及其控制模式在脑卒中后人群的自我触发、反应性和功能性抓取能力恢复方面非常适合。该设备的可穿戴版本正在开发中,以提高在家时的抓取能力。试验注册:两项研究均在clinicaltrials.gov上注册:NCT03946488(2019年5月10日注册)和NCT04804384(2021年3月18日注册)。
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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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