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 将音乐疗法纳入整体治疗模式可以用来改善认知，身体， 阿尔茨海默氏症等神经衰老障碍患者的情绪和社会结局 疾病(AD)。此外，音乐疗法和基于音乐的干预的康复益处可能会得到优化 当病人积极参与创作音乐的过程时(作曲、唱歌、移动)，而不是 完全依赖于接受性或被动的音乐收听。创作音乐的过程已经被证明是 增强神经可塑性，减轻疼痛，促进心理健康。尤其是AD，作为一种神经退行性疾病 一种以损害神经连通性和大脑功能的不良神经病变为特征的疾病 天生的自我修复能力，是创造出治疗神经系统益处的最佳候选者 音乐。然而，不幸的是，那些从创作音乐中获益最多的人往往会发现 重新学习、学习和/或操作乐器的过程是不切实际的。 孤立者技术(Outlier)试图通过开发一种新的神经音乐疗法来解决这个问题 基于(NMT)的软件平台，帮助实现功能和福利康复和康复的现代化 在阿尔茨海默病患者中。这种新一代NMT方法将为医学界提供 增强神经可塑性和缓解认知衰退的创新方法。这个平台的标志是 一种专利算法，利用计算机视觉作为输入方式，将身体动作转换为 交互式、美观的音乐体验与基于NMT的数据驱动课程相结合 与董事会认证音乐治疗师(MT-BCS)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加强他们的传统治疗方案 或者是那些不能定期获得治疗资源但寻求这种使用的潜在好处的患者。 这项提议描述了一种手势驱动的“智能仪器”的开发，它结合了 通过结构化数据分析提供交互式、适应性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致的决策矩阵上，该矩阵 产生令人愉悦的软件生成的音乐，可以根据用户的个人品味进行定制。电脑 视觉将被用来将身体动作映射到合理的音乐结果上，以开发一种“智能乐器” 具有直观的、由运动驱动的触觉反馈。利用这一点的基于NMT的游戏和谜题的课程 将与神经学家和MT-BCS共同开发仪器，以刺激神经可塑性和延长功能 独立。我们还将集成一个数据门户，使从业者能够记录实时的患者事件 和关于会话进度的记录，并访问来自每个会话的数据的有组织的显示，这些数据标识 音乐特征与积极的患者结局有很强的相关性。建议的发展项目将会 产生一个原型，展示了一个突破性的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.