论文标题
中风康复中音乐生物反馈的技术框架
A Technical Framework for Musical Biofeedback in Stroke Rehabilitation
论文作者
论文摘要
我们在这里介绍了一个广义的低级技术框架，旨在通过迭代以用户为中心的流程构建的势头平衡和步态康复中的音乐生物反馈。该框架包括无线可穿戴惯性传感器以及使用廉价和开源工具开发的软件接口。该界面可实现分层音乐的合成，对几种训练模式中生物反馈参数的实时控制以及广泛的补充功能。我们在技术性能方面评估了系统，发现该系统具有足够低的循环延迟（〜90毫秒），良好的传感器范围（> 9 m）和低计算负载，即使在其最苛刻的操作模式下也是如此。在一系列专家访谈中，临床医生认为使用该系统的选定培训相互作用与临床方案有意义，并且具有可理解的反馈（尽管有时不愉快或令人不安），以供广泛的患者人群进行反馈（尽管有时不愉快或令人不安）。未来的研究将着重于与真实患者一起使用此框架，以进一步发展相互作用并在治疗过程中衡量其影响。
We here present work a generalized low-level technical framework aimed to provide musical biofeedback in post-stroke balance and gait rehabilitation, built by an iterative user-centered process. The framework comprises wireless wearable inertial sensors and a software interface developed using inexpensive and open-source tools. The interface enables layered and adjustable music synthesis, real-time control over biofeedback parameters in several training modes, and extensive supplementary functionality. We evaluated the system in terms of technical performance, finding that the system has sufficiently low loop delay (~90 ms), good sensor range (>9 m) and low computational load even in its most demanding operation mode. In a series of expert interviews, selected training interactions using the system were deemed by clinicians to be meaningful and relevant to clinical protocols with comprehensible feedback (albeit sometimes unpleasant or disturbing) for a wide patient demographic. Future studies will focus on using this framework with real patients to both develop the interactions further and measure their effects during therapy.
