Wearable biomedical measurement systems for assessment of mental stress of combatants in real time Articles uri icon

authors

  • SEOANE, FERNANDO
  • MOHINO HERRANZ, INMACULADA
  • FERREIRA, JAVIER
  • ALVAREZ PEREZ, LORENA
  • BUENDÍA, RUBÉN
  • AYLLÓN, DAVID
  • LLERENA, COSME
  • GIL PITA, ROBERTO

publication date

  • April 2014

start page

  • 7120

end page

  • 7141

issue

  • 4

volume

  • 14

International Standard Serial Number (ISSN)

  • 1424-3210

Electronic International Standard Serial Number (EISSN)

  • 1424-8220

abstract

  • The Spanish Ministry of Defense, through its Future Combatant program, has sought to develop technology aids with the aim of extending combatants' operational capabilities. Within this framework the ATREC project funded by the "Coincidente" program aims at analyzing diverse biometrics to assess by real time monitoring the stress levels of combatants. This project combines multidisciplinary disciplines and fields, including wearable instrumentation, textile technology, signal processing, pattern recognition and psychological analysis of the obtained information. In this work the ATREC project is described, including the different execution phases, the wearable biomedical measurement systems, the experimental setup, the biomedical signal analysis and speech processing performed. The preliminary results obtained from the data analysis collected during the first phase of the project are presented, indicating the good classification performance exhibited when using features obtained from electrocardiographic recordings and electrical bioimpedance measurements from the thorax. These results suggest that cardiac and respiration activity offer better biomarkers for assessment of stress than speech, galvanic skin response or skin temperature when recorded with wearable biomedical measurement systems.

subjects

  • Psychology
  • Telecommunications

keywords

  • bioimpedance; gsr; heart rate; mental stress; non-invasive measurements; textile electrodes; speech analysis; multimodal signal processing