Intelligent Task Assist Device for Motor Control in Cerebral Palsy

脑瘫运动控制智能任务辅助装置

• 批准号: 7109587
• 负责人: JOSEPH P GIUFFRIDA
• 金额: $ 18.67万
• 依托单位: CLEVELAND MEDICAL DEVICES, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-17 至 2008-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7109587
• 关键词: clinical research; functional ability; hand; limbs; muscle; training

DESCRIPTION (provided by applicant): The objective is to design, build, and clinically assess an intelligent device, the PediActive, to assist upper extremity motor control in cerebral palsy (CP). Children with hemiplegic CP often have upper extremity impairments including slowness, weakness, uncoordinated motion, and spasticity. The PediActive should enhance function by automatically complimenting a person's remaining voluntary motor control with functional electrical stimulation (FES) during activities of daily living. The PediActive should provide levels of function unachievable with only voluntary control. The user will not need to learn a new control algorithm. Instead, the user will simply attempt to complete a task. The PediActive will detect subject motion intention and automatically supply stimulation to target muscles to assist the task. The PediActive should ultimately aid CP subjects in completing activities of daily living thereby increasing independence and societal participation. While the ability to complete functional tasks can be compromised in CP, upper extremity motion and muscle activation patterns as they attempt tasks can be quite repeatable. The PediActive will take advantage of these patterns to automatically detect user intention. Therefore, the proposed PediActive will utilize wearable sensing and stimulating technology to automatically modulate FES and improve function. A user worn shirt or sleeve will be embedded with surface electromyography (EMG) electrodes, kinetic sensors, and a stimulator unit. The system will record EMG and kinetic data to determine user movement intention. Movements, coordination patterns, and/or EMG levels will then be used as inputs to train a neural network to output an appropriate level of FES to specific upper extremity muscles. Specifically, the PediActive will automatically detect when a user is attempting arm reach or hand grasp and apply FES to target muscles to assist the task. The PediActive will be an assistive device to improve upper extremity function in children with cerebral palsy. The system will be trained to automatically detect when a user is attempting a task and supply stimulation to target muscles to help the subject complete the task. The system should help subjects complete activities of daily living, thereby increasing their independence and societal participation.

描述（由申请人提供）：目标是设计、构建和临床评估智能设备 PediActive，以辅助脑瘫 (CP) 的上肢运动控制。患有偏瘫性脑瘫的儿童通常有上肢损伤，包括行动迟缓、虚弱、运动不协调和痉挛。 PediActive 应在日常生活活动中通过功能性电刺激 (FES) 自动补充人剩余的自主运动控制能力，从而增强功能。 PediActive 应提供仅靠自愿控制无法实现的功能水平。用户无需学习新的控制算法。相反，用户将简单地尝试完成任务。 PediActive 将检测受试者的运动意图并自动向目标肌肉提供刺激以协助完成任务。 PediActive 最终应帮助 CP 受试者完成日常生活活动，从而提高独立性和社会参与度。虽然脑瘫患者完成功能性任务的能力可能会受到影响，但他们在尝试任务时的上肢运动和肌肉激活模式可能是相当可重复的。 PediActive 将利用这些模式来自动检测用户意图。因此，拟议的 PediActive 将利用可穿戴传感和刺激技术来自动调节 FES 并改善功能。用户穿着的衬衫或袖子将嵌入表面肌电图 (EMG) 电极、动力学传感器和刺激器单元。系统将记录肌电图和动力学数据来确定用户的运动意图。然后，运动、协调模式和/或 EMG 水平将被用作输入来训练神经网络，以向特定的上肢肌肉输出适当水平的 FES。具体来说，PediActive 将自动检测用户何时尝试伸臂或抓握，并将 FES 应用于目标肌肉以协助完成任务。 PediActive将是一种改善脑瘫儿童上肢功能的辅助装置。该系统将经过训练，自动检测用户何时尝试执行任务，并向目标肌肉提供刺激，以帮助受试者完成任务。该系统应帮助受试者完成日常生活活动，从而提高他们的独立性和社会参与度。