Wearable Biomedical Measurement Systems for Assessment of Mental Stress of Combatants in Real Time

Sensors

Fernando Seoane¹  Inmaculada Mohino-Herranz²  Javier Ferreira¹  Lorena Alvarez²  Ruben Buendia³  David Ayllón²  Cosme Llerena² 

[1] School of Engineering, University of Borås, SE-50190 Borås, Sweden; E-Mail:;Department of Signal Theory and Communications, University of Alcala, ES-28871, Madrid, Spain; E-Mails:;School of Technology and Health, Royal Institute of Technology, SE-14152, Stockholm, Sweden; E-Mail:

关键词: bioimpedance;    GSR;    heart rate;    mental stress;    non-invasive measurements;    textile electrodes;    speech analysis;    multimodal signal processing;   

DOI  :  10.3390/s140407120

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.