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

神经音乐治疗游戏和谜题的手势驱动软件平台:刺激阿尔茨海默病患者的神经可塑性并延长功能独立性

基本信息

  • 批准号:
    10852784
  • 负责人:
  • 金额:
    $ 25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-02-01 至 2024-01-31
  • 项目状态:
    已结题

项目摘要

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.
摘要

项目成果

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Peter Gray其他文献

Peter Gray的其他文献

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{{ truncateString('Peter Gray', 18)}}的其他基金

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
神经音乐治疗游戏和谜题的手势驱动软件平台:刺激阿尔茨海默病患者的神经可塑性并延长功能独立性
  • 批准号:
    10611831
  • 财政年份:
    2023
  • 资助金额:
    $ 25万
  • 项目类别:

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