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
{"title":"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)。","authors":"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","doi":"10.1590/2317-1782/e20240265pt","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":46547,"journal":{"name":"CoDAS","volume":"37 4","pages":"e20240265"},"PeriodicalIF":0.8000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12337715/pdf/","citationCount":"0","resultStr":"{\"title\":\"Validation of a freely distributable software for the analysis of electrophysiological signals: Smart Tools for Evoked Potentials (STEP).\",\"authors\":\"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\",\"doi\":\"10.1590/2317-1782/e20240265pt\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":46547,\"journal\":{\"name\":\"CoDAS\",\"volume\":\"37 4\",\"pages\":\"e20240265\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12337715/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CoDAS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/2317-1782/e20240265pt\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CoDAS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/2317-1782/e20240265pt","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
Validation of a freely distributable software for the analysis of electrophysiological signals: Smart Tools for Evoked Potentials (STEP).
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.