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、构建和临床评估一种辅助设备“PediAccess”，该设备将改善因脑瘫（CP）而导致语言和运动功能受损的儿童的辅助替代交流。言语影响教育、与家人和临床医生的沟通以及社会参与。这个项目将集中在患有CP的儿童，他们不能说话，上肢运动控制受损，阻碍了有效使用标准计算机进行交流。目前存在一些AAC设备，但都有很大的局限性。一些例子包括：需要用户凝视答案的简单板;使用头部移动和停留时间来移动光标和选择选项的反射前额佩戴标记器;连续循环突出显示选项并等待由手或头部触发的按钮以在突出显示时选择选项的屏幕;以及多选择触摸屏。虽然这些设备已经显示出改善通信的一些功效，但它们可能导航缓慢，可能不是可接受的，难以维持校准，并且不能充分利用剩余的潜在自由度（DOF）进行控制。此外，一旦失去通信，计算机通常成为认知语音意图和伪造语音输出之间的接口。手为计算机提供了一个直观的界面层控制方法。虽然用户可能不具有使用触摸屏所需的灵巧运动控制，但他们可能具有足够的粗大运动功能来检测期望的手臂端点（手）方向。换句话说，在手、前臂、上臂和肩部中可以存在可用于检测期望的手方向的可重复的运动模式。PediAccess将利用剩余的自主控制来检测所需的手部方向，以通过通信矩阵进行导航。此外，用户将不需要学习非常规的控制方法;通过视觉通信矩阵的导航将通过利用可重复的上肢运动模式协同地映射到他们期望的端点运动。拟议中的PediAccess将提供一个紧凑的、无线的、可穿戴的系统，以提高受运动和语言障碍影响的儿童沟通的速度和准确性。该设备将利用舒适、可穿戴的传感技术来检测用户手臂端点的意图。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，并允许长时间舒适佩戴。运动将被无线传输到一个基站平板电脑。软件将收集和处理数据，并提供一个可视化通信矩阵，并提供用户可选择的响应。从运动传感器处理的定量数据和协调模式将被用作训练和测试算法的输入，以检测端点意图。算法将把端点意图转换为通信矩阵命令。