NeuroVision™: A Smartphone Application for Neurology and Telemedicine

NeuroVision™：用​​于神经病学和远程医疗的智能手机应用程序

• 批准号: 10384252
• 负责人: Bhawna Shiwani
• 金额: $ 32.09万
• 依托单位: ALTEC, INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10384252
• 关键词: 3-Dimensional; Address; Adherence; Adopted; Algorithms; Architecture; Area; Body part; COVID-19 pandemic; Caregiver support; Caregivers; Caring; Cellular Phone; Clinical; Computer Vision Systems; Computer software; Data; Development; Devices; Ensure; Essential Tremor; Evaluation; Evidence based practice; Face; Family Caregiver; Family member; Feedback; Focus Groups; Gait; Gold; Guidelines; Healthcare; Home; Huntington Disease; Individual; Instruction; Involuntary Movements; Joints; Laboratories; Legal patent; Lower Extremity; Measures; Mechanics; Monitor; Motion; Motor; Movement; Movement Disorders; Multi-site clinical study; Muscle; Neurologic; Neurological outcome; Neurologist; Neurology; Outcome; Outcome Measure; Parkinson Disease; Participant; Patient Care; Patients; Periodicity; Persons; Phase; Populations at Risk; Procedures; Process; Protocols documentation; Quality of life; Reporting; Resolution; Sampling; Schedule; Secure; Services; Specialist; Speech; Standardization; Stroke; Structure; Summary Reports; Symptoms; System; Technology; Telemedicine; Testing; Therapeutic Intervention; United States National Institutes of Health; Upper Extremity; Video Recording; Videoconferencing; Vision; Visit; Visual; Vulnerable Populations; Work; base; body position; clinical care; clinical outcome measures; cost; design; eHealth; follow-up; kinematics; medical specialties; mobile application; motor disorder; motor impairment; motor symptom; nervous system disorder; new technology; novel strategies; pandemic disease; patient population; prototype; remote assessment; remote delivery; research clinical testing; response; sensor; sensor technology; smartphone Application; telehealth; usability; wearable sensor technology

The transformative shift in healthcare to in-home telehealth services is projected to deliver long term benefits beyond the COVID pandemic to vulnerable populations, and those underserved due to isolation from specialty care centers. For the neurologist, however, the shift away from in-person care has disrupted the ability to perform comprehensive motor assessments with current telehealth technologies. While video conferencing platforms have enabled some neurological evaluations of speech, facial, and upper body symptoms, most neurological disorders such as Parkinson’s disease (PD) require a comprehensive visual examination of different movement tasks and motor symptoms that are all too easily obstructed by the narrow field-of-view and constrained 2D visual display of standard telehealth video-conferencing interactions. To overcome these limitations and offer quantitative outcomes, our team of computer vision experts is partnering with leading neurologists to develop a remote means of recording and quantifying prescribed neurological motor assessment tasks in the home using a smartphone (3D) depth-sensing camera to inform a subsequent telehealth visit with video samples and corresponding numerical outcome metrics. While developments from our group and others in the area of computer vision have used total body pose estimation algorithms and stationary 3D cameras to measure joint mechanics, our pilot work demonstrates the feasibility of a new approach to derive neurological outcomes of gait, transfer, and fine motor assessment tasks directly from depth data recorded from a nonstationary (handheld) smartphone. In Phase I we will build upon this work to develop simultaneous localization and mapping algorithms in Aim 1 to obtain outcome measures of motor impairment from n=10 participants with PD that achieve +/- 5% error with respect to gold-standard motion capture. Aim 2 will add guided instructions, compliance feedback, and summary reports to the software. The resulting NeuroVision™ prototype will be clinically evaluated for usability and perceived value among n=5 independent neurologists and n=10 of their patients with PD. Smartphone-based recordings will be acquired by the patient’s care assistant or family member using the NeuroVision™ app in our laboratory. The resulting report will be provided to the referring neurologist, to be used to inform a scheduled telehealth visit. Our milestones are to achieve favorable Likert usability ratings (≥8/10) and high ratings of perceived clinical value and acceptance from the neurologists. Focus groups involving the patient and caregiver will provide additional feedback for a designing a more complete Phase II NeuroVision™ system that meets in-home use requirements, supports a broader range of common neurological conditions, and provides a secure eHealth assessment report. The pre-commercial prototype will be tested for usability and clinical value in informing telehealth follow-up visits to meet the needs of a broader population of at-risk patients with PD, Essential Tremor, Stroke, and Huntington’s disease currently in need of safe and reliable access to routine clinical care for health and quality of life.

预计医疗保健向家庭远程医疗服务的变革性转变将带来长期福利 超越了脆弱人群的共同大流行，以及由于专业隔离而乏味的人口 护理中心。然而，对于神经科医生而言，远离人工护理的转变已使能力 使用当前的远程医疗技术进行全面的运动评估。视频会议时 平台已经实现了对语音，面部和上身符号的一些神经学评估，大多数 诸如帕金森氏病（PD）之类的神经系统疾病需要对不同的视觉检查 运动任务和运动症状都被狭窄的视野和 限制了标准远程医疗视频会议交互的2D视觉显示。克服这些 限制并提供定量结果，我们的计算机视觉专家团队正在与领先 神经科医生开发一种记录和量化处方神经运动评估的远程方法 使用智能手机（3D）深度感应相机在家中的任务，以告知随后的远程医疗访问 视频样本和相应的数字结果指标。而我们小组和其他人的发展 在计算机视觉领域，总体姿势估计算法和固定的3D摄像机 测量联合力学，我们的飞行员工作证明了一种新方法的可行性 直接从一个记录的深度数据中，步态，转移和精细运动评估任务的结果 非机构（手持）智能手机。在第一阶段，我们将基于这项工作以同时发展 AIM 1中的定位和映射算法，以获得n = 10的运动障碍的结果度量 与金标准运动捕获相对于+/- 5％误差的PD参与者。 AIM 2会添加 指导说明，合规反馈和摘要向软件报告。由此产生的Neurovision™ 原型将在临床上评估n = 5个独立神经科医生之间的可用性和可感知价值 n = 10患者患有PD。基于智能手机的录音将由患者的护理助手获取 或家庭成员在我们的实验室使用Neurovision™应用程序。结果报告将提供给 引用神经科医生，用于通知预定的远程医疗访问。我们的里程碑是要实现有利的 LIKERT可用性评级（≥8/10）和神经科医生感知到的临床价值和接受程度的高等级。 涉及患者和护理人员的焦点小组将为设计更多的反馈 完整的II阶段Neurovision™系统，满足在家使用要求，支持更广泛的范围 常见的神经系统疾病，并提供了安全的eHealth评估报告。商业前 原型将测试可用性和临床价值，以告知远程医疗后续访问以满足需求 目前，PD的高风险患者目前有更广泛的PD患者，目前 需要安全可靠地获得日常临床护理，以实现健康和生活质量。