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验证一种可自由分发的用于分析电生理信号的软件:唤起潜力的智能工具 (STEP)
Kelly Cristina Lira de Andrade1, Aline Tenório Lins Carnaúba1, Carlos Henrique Alves Batista1
1Programa Associado de Pós-graduação em Fonoaudiologia - PPGFON (UFPB/UFRN/UNCISAL), Universidade Estadual de Ciências da Saúde de Alagoas - UNCISAL - Maceió (AL), Brasil.
CoDAS
|August 6, 2025
概括
该STEP应用程序准确地分析听觉和前庭电生理信号,包括延迟,振幅和波形特征,匹配专家性能.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 电生理学信号分析对于诊断听觉和前体障碍至关重要.
- 目前分析电生理信号的方法可能耗时且容易变化.
- 需要有效的,有效的软件工具来提高信号分析的准确性.
研究的目的:
- 为了验证电生理学 (STEP) 应用程序的信号和事件工具.
- 评估STEP在分析听觉和前庭电生理信号方面的准确性和效率.
- 评估STEP在测量延迟,振幅和波形形态特征方面的能力.
主要方法:
- 两阶段验证:模拟波形和实验数据.
- 数学生成的模拟波形,由STEP和人类检查员分析.
- 实验数据:STEP与两个黄金标准系统进行了比较,用于延迟和振幅测量.
主要成果:
- STEP 在手动和自动的峰值/低谷识别和计算中表现出高准确度.
- 在STEP,黄金标准系统或人类检查员之间没有观察到统计学上显著的差异.
- STEP有效地进行了复杂的分析,如P1N1面积,斜率估计和快速里埃变换 (FFT).
结论:
- STEP是用于电生理学波形分析的可靠工具.
- 该应用程序准确地识别了延迟和幅度.
- STEP支持高级分析,增强听力学和前体检测的诊断能力.
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