Validation of a freely distributable software for the analysis of electrophysiological signals: Smart Tools for Evoked Potentials (STEP).

IF 0.8 Q4 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

CoDAS Pub Date : 2025-08-08 eCollection Date: 2025-01-01 DOI:10.1590/2317-1782/e20240265pt

Kelly Cristina Lira de Andrade, Aline Tenório Lins Carnaúba, Carlos Henrique Alves Batista, Danielle Cavalcante Ferreira, Raí Fernandes Santos, Raquel da Silva Cabral, Pedro de Lemos Menezes

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引用次数: 0

Abstract

Purpose: This study aimed to validate the STEP, an application developed for the analysis of various auditory and vestibular electrophysiological signals. The STEP was designed to enhance the accuracy and efficiency of latency and amplitude analysis, as well as other waveform morphological features such as calculation of area, slope, and Fast Fourier Transform (FFT).

Methods: The methodology was structured into two phases: one involving simulated waveforms and the other based on experimental data. In the first phase, waveforms were generated using mathematical functions, and their features were marked and analyzed both by trained examiners and by the STEP application. In the second phase, the STEP was tested using real electrophysiological recordings, with latency and amplitude values compared across STEP and two established gold-standard systems.

Results: The results demonstrated high accuracy of STEP in both manual and automatic peak and trough markings, as well as in subsequent calculations. No statistically significant differences were found among the evaluated systems, nor between the examiners.

Conclusion: The STEP proved to be a reliable tool for identifying latencies and amplitudes of electrophysiological waveforms and for performing additional analyses, including P1N1 area calculation, slope estimation, and FFT analysis.

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验证一个自由分发的电生理信号分析软件：诱发电位智能工具（STEP）。

目的：本研究旨在验证STEP是一种用于分析各种听觉和前庭电生理信号的应用程序。STEP旨在提高延迟和幅度分析的准确性和效率，以及其他波形形态学特征，如面积、斜率和快速傅里叶变换（FFT）的计算。方法：方法分为两个阶段：模拟波形阶段和实验数据阶段。在第一阶段，使用数学函数生成波形，并由训练有素的检查人员和STEP应用程序标记和分析波形的特征。在第二阶段，使用真实的电生理记录对STEP进行测试，并将STEP和两个已建立的金标准系统的延迟和振幅值进行比较。结果：STEP在手动和自动峰谷标记以及后续计算中均具有较高的准确性。在被评估的系统之间，以及考官之间，没有发现统计学上的显著差异。结论：STEP被证明是一种可靠的工具，用于识别电生理波形的潜伏期和振幅，并进行额外的分析，包括P1N1面积计算，斜率估计和FFT分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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