A Gesture-Powered Software Platform of Neurologic Music Therapy Games and Puzzles: To Stimulate Neuroplasticity and Prolong Functional Independence in Individuals Diagnosed with Alzheimer's Disease

摘要 将音乐治疗纳入整体治疗模式可用于改善认知，身体， 被诊断患有神经性衰老障碍（如阿尔茨海默氏症）的患者的情绪和社会结果 疾病（AD）。此外，音乐疗法和基于音乐的干预措施的治疗益处可能会得到优化 当患者积极参与创作音乐的过程（作曲、唱歌、移动）时， 到单纯依赖接受性或被动性的音乐聆听。音乐创作的过程已经被证明 增强神经可塑性，减轻疼痛，促进心理健康。特别是AD，作为一种神经退行性疾病， 以损害神经连接和大脑功能的不良神经病理变化为特征的疾病 自然的自我修复能力，是治疗神经学益处的主要候选者， 音乐.然而，不幸的是，那些从创作音乐中获得最大收益的人往往会发现， 重新学习，学习和/或操纵乐器的过程是不切实际的。 离群技术（离群）寻求解决这个问题，开发一种新的，神经音乐疗法 （NMT）为基础的软件平台，以帮助现代化的康复和功能和福祉的阻碍 在患有AD的人群中。这种下一代NMT方法将为医学界提供一种 增强神经可塑性和缓解认知能力下降的创新方法。这个平台的特点是 一种专有算法，利用计算机视觉作为输入方式，将身体运动转换为 互动，美观的音乐体验与基于NMT的数据驱动课程相结合， 与委员会认证的音乐治疗师（MT-BC）合作设计的谜题和游戏， 治疗目标。治疗师可以利用这个平台来增强他们的传统治疗方案 或由不能定期获得治疗资源但寻求这种使用的潜在益处的患者提供。 该提案描述了一种手势驱动的“智能仪器”的开发， 通过结构化数据分析提供交互式、自适应和治疗性音乐创作体验。音乐数据来自 录音室音乐家将被抽样，分析，并映射到一个美学上精炼的决策矩阵， 产生令人愉悦的、软件生成的音乐，这些音乐可以根据用户的个人品味来定制。计算机 视觉将用于将物理运动映射到可感知的音乐结果上，以开发“智能乐器”。 通过直观的、运动驱动的触觉反馈。一个基于NMT的游戏和拼图课程，利用这个 将与神经科学家和MT-BC一起开发仪器，以刺激神经可塑性并延长功能 独立我们还将整合一个数据门户，使从业者能够记录实时患者事件 和会话进度的注释，并访问来自每个会话的数据的有组织显示， 音乐特征与积极的患者结果有很强的关联。拟议的发展将 产生一个原型，展示了一种开创性的AD康复新方法的概念验证。

Abstract The inclusion of music therapy into a total treatment modality can be used to improve the cognitive, physical, emotional, and social outcomes of patients diagnosed with neurological aging disorders, such as Alzheimer’s Disease (AD). Moreover, the healing benefits of music therapy and music-based interventions may be optimized when the patient is actively engaged in the process of creating music (composing, singing, moving), as opposed to sole reliance on receptive or passive music listening. The process of creating music has been shown to enhance neuroplasticity, reduce pain, and promote mental wellness. AD, in particular, as a neurodegenerative disease characterized by adverse neuropathological changes that impair neural connectivity and the brain’s natural ability to repair itself, is a prime candidate for the therapeutic neurological benefits that arise from creating music. Unfortunately, however, those who stand to gain the most from creating music often find the challenging process of relearning, learning, and/or manipulating a musical instrument to be impractical. Outlier Technology (Outlier) seeks to address this issue by developing a novel, Neurologic Music Therapy (NMT)-based software platform to help modernize the rehabilitation and habilitation of function & well-being among people suffering from AD. This next-generation approach to NMT will offer the medical community an innovative new way to enhance neuroplasticity and mitigate cognitive decline. The hallmark of this platform is a proprietary algorithm which utilizes computer vision as an input modality to translate body movements into an interactive, aesthetically pleasing musical experience integrated with a data-driven curriculum of NMT-based puzzles and games designed in collaboration with Board-Certified Music Therapists (MT-BCs) to target therapeutic objectives. This platform can be utilized by therapists to augment their traditional treatment regimens or by patients who do not have regular access to therapy resources but seek the potential benefits of such use. This proposal describes the development of a gesture-powered “smart instrument” that combines an interactive, adaptive, and therapeutic music creation experience with structured data analytics. Musical data from studio musicians will be sampled, analyzed, and mapped onto an aesthetically refined decision matrix that produces pleasing, software-generated music that may be customized to the user’s personal tastes. Computer vision will be used to map physical movements onto sensible musical outcomes to develop a “smart instrument” with intuitive, motion-powered haptic feedback. A curriculum of NMT-based games and puzzles that utilize this instrument will be developed with neuroscientists and MT-BCs to stimulate neuroplasticity and prolong functional independence. We will also integrate a data portal which allows the practitioner to record real-time patient events and notes about session progress, and access organized displays of data from each session which identify musical characteristics with strong associations to positive patient outcomes. The proposed development will yield a prototype demonstrating proof-of-concept for a groundbreaking new approach to AD rehabilitation.