工具包检查仿真语言v.2.0:优化神经退行发作的语音生物标志物
Adolfo M García1,2,3, Franco J Ferrante1,4,5, Gonzalo Pérez1,4,5
1Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina.
Dementia and geriatric cognitive disorders
|September 30, 2024
概括
检查真实语言工具包 (TELL) v.2.0是一个新的网络应用程序,用于使用语音生物标志物检测神经退行. 这个更新的工具增强了疾病检测,表型和监测,提供可扩展的客观见解.
科学领域:
- 神经学 神经学
- 计算语言学 计算语言学
- 生物医学工程 生物医学工程
背景情况:
- 工具包检查仿真语言 (TELL) v.1.0已经部署在多个网站.
- 语音分析的进步为早期疾病检测提供了潜力.
研究的目的:
- 介绍TELL v.2.0,一个增强的基于Web的应用程序,用于识别神经退行性语音生物标志物.
- 详细介绍TELL v.2.0用于临床应用的新功能和功能.
主要方法:
- 描述数据收集 (现场,线下,视频会议) 的可用性功能.
- 总结临床调查,包括习惯和语言预测因素.
- 详细的基于语音的评估涵盖了运动功能,记忆和情绪处理.
- 指定新的数据分析,可视化和下载选项.
主要成果:
- TELL v.2.0提供了可扩展,客观和多维的关于神经退行性疾病的见解.
- 该应用程序集成了可用性,临床调查和详细的语音评估.
结论:
- TELL v.2.0在疾病检测,表型和监测方面取得了重大进展.
- 该工具的技术和科学突破有助于改善临床应用.
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