Alma Karen Bañuelos-Mezquitan, Carlos Said Silva-Chacon, Fernando Castro-Galán, Arturo Guzmán-Vázquez, Israel Román-Godínez, Ricardo A. Salido-Ruiz, Sulema Torres-Ramos
{"title":"SignAPROS: An integrated hardware and software system for acquisition, processing, and analysis of bio-signals","authors":"Alma Karen Bañuelos-Mezquitan, Carlos Said Silva-Chacon, Fernando Castro-Galán, Arturo Guzmán-Vázquez, Israel Román-Godínez, Ricardo A. Salido-Ruiz, Sulema Torres-Ramos","doi":"10.1016/j.simpa.2025.100741","DOIUrl":null,"url":null,"abstract":"<div><div>SignAPROS is a cost-effective hardware–software system for signal acquisition, featuring modules for database management, protocol configuration, and machine learning-based analysis. It supports up to four Electromyography bi-polar channels and various sensors to measure heart rate, temperature, inclination, and galvanic skin response.</div><div>The system has already been used in the implementation of a protocol aimed at capturing electrical signals from facial and neck muscles to detect mispronunciation in a second language supporting a master’s project.</div><div>With a user-friendly interface, SignAPROS enables users to conduct bio-signal acquisition, analyze data, and visualize results efficiently, making it a versatile and accessible tool for scientific studies.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100741"},"PeriodicalIF":1.3000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963825000016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
SignAPROS is a cost-effective hardware–software system for signal acquisition, featuring modules for database management, protocol configuration, and machine learning-based analysis. It supports up to four Electromyography bi-polar channels and various sensors to measure heart rate, temperature, inclination, and galvanic skin response.
The system has already been used in the implementation of a protocol aimed at capturing electrical signals from facial and neck muscles to detect mispronunciation in a second language supporting a master’s project.
With a user-friendly interface, SignAPROS enables users to conduct bio-signal acquisition, analyze data, and visualize results efficiently, making it a versatile and accessible tool for scientific studies.