Motor Intention Based Training and Discrimination System

基于运动意图的训练和判别系统

• 批准号: 7404297
• 负责人: JOSEPH P GIUFFRIDA
• 金额: $ 18.96万
• 依托单位: CLEVELAND MEDICAL DEVICES, INC.
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-01-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7404297
• 关键词: Affect; Algorithms; Calibration; Cerebral Palsy; Child; Childhood; Clinical Trials Design; Cognitive; Communication; Communication Aids for Disabled; Computer software; Computers; Computing Methodologies; Data; Detection; Development; Devices; Discrimination; Education; End Point; Ensure; Family; Figs - dietary; Forearm; Forehead; Freedom; Goals; Hand; Head; Head Movements; Impairment; Intention; Kinetics; Learning; Limb structure; Maps; Methods; Motion; Motor; Movement; Numbers; Output; Patients; Pattern; Phase; Process; Radio; Recovery; Rehabilitation therapy; Safety; Schools; Self-Help Devices; Shoulder; Speech; Speed; Standards of Weights and Measures; Stroke; System; Tablets; Technology; Testing; Time; Training; Translating; Traumatic Brain Injury; Upper Extremity; Upper arm; Visual; Wireless Technology; alternative communication; base; clinical efficacy; computerized data processing; design; desire; gaze; improved; motor control; motor impairment; prototype; response; sensor; social; touchscreen

DESCRIPTION (provided by applicant): The objective is to design, build, and clinically assess an assistive device, PediAccess", which will improve augmentative alternative communication for children with compromised speech and motor function due to cerebral palsy (CP). Speech affects education, communication with family and clinicians, and societal participation. This project will focus on children with CP who cannot speak and have compromised upper extremity motor control that impedes effective use of a standard computer for communication. Some AAC devices currently exist, but all have significant limitations. Some examples include: a simple board that requires the user to gaze at answers; a reflective forehead worn marker that uses head movement and dwell time to move a cursor and select options; a screen that continually cycles highlighted options and waits for a push button triggered by the hand or head to select the option when highlighted; and multiple choice touch screens. While these devices have shown some efficacy to improve communication, they can be slow to navigate, may not be cosmetically acceptable, struggle to maintain calibration, and do not take full advantage of potential degrees of freedom (DOF) remaining for control. Additionally, once communication is lost, a computer typically becomes the interface between cognitive speech intention and fabricated speech output. The hands provide an intuitive method for the computer control interface layer. While a user may not have dexterous motor control required to use a touch screen, they may have enough gross motor function to detect desired arm endpoint (hand) direction. In other words, there may be repeatable patterns of motion in the hand, forearm, upper arm, and shoulder that can be used to detect desired hand direction. PediAccess will utilize remaining voluntary control to detect desired hand direction to navigate through a communication matrix. Furthermore, the user will not need to learn an unconventional control method; navigation through a visual communication matrix will be synergistically mapped to their desired endpoint movements by exploiting repeatable upper extremity motion patterns. The proposed PediAccess will provide a compact, wireless, wearable system to improve the speed and accuracy at which children affected by motor and speech impairments can communicate. The device will utilize comfortable, wearable, sensing technology to detect user arm endpoint intention. The system will employ motion sensors including accelerometers and gyroscopes and a Bluetooth radio transceiver and the wireless design will increase safety and allow comfortable wear for long periods of time. Motion will be wirelessly transmitted to a base station tablet computer. Software will collect and process data and provide a visual communication matrix with provided user selectable responses. Quantitative data and coordination patterns processed from the motion sensors will be used as inputs to train and test an algorithm to detect endpoint intention. Algorithms will translate endpoint intention to communication matrix commands.

描述（由申请人提供）：目的是设计，建造和临床评估辅助设备PEACCESS”，这将改善因言语和言语折衷和运动功能而增加的替代性沟通。语音言语和运动功能受损。语音会影响教育，影响教育，与家人和临床的沟通能力有关，这些项目对这些项目的影响和社会有效的范围都在范围内，并且能够有效地控制CP，并有效地控制了CP的范围。沟通。改善沟通，导航可能会很慢，在外观上可能无法接受，难以维持校准，并且不会充分利用潜在的自由度（DOF）剩余的控制。此外，一旦丢失了通信，计算机通常会成为认知语音意图和捏造语音输出之间的接口。手为计算机控制接口层提供了直观的方法。虽然用户可能没有使用触摸屏所需的灵巧电动机控制，但是他们可能具有足够的总电机功能来检测所需的臂端点（手）方向。换句话说，手中，前臂，上臂和肩膀的运动模式可能可重复，可用于检测所需的手方向。 Pediaccess将利用剩余的自愿控制来检测所需的手方向，以通过通信矩阵导航。此外，用户将不需要学习非常规控制方法。通过视觉通信矩阵导航将通过利用可重复的上肢运动模式协同映射到其所需的端点运动。拟议的纪律人士将提供一个紧凑，无线，可穿戴的系统，以提高受运动和语音障碍影响的儿童传达的速度和准确性。该设备将利用舒适，可穿戴的传感技术来检测用户臂端点的意图。该系统将采用运动传感器，包括加速度计和陀螺仪以及蓝牙无线电收发器，无线设计将提高安全性并长时间舒适的磨损。运动将无线传输到基站平板电脑。软件将收集和处理数据，并提供带有提供的用户可选响应的视觉通信矩阵。从运动传感器处理的定量数据和协调模式将用作训练和测试算法以检测端点意图的输入。算法将将端点意图转化为通信矩阵命令。