An Approach to Bibliometric Analysis of Biosignal Acquisition Systems to Determine Neurological and Physiological Aspects of Driving Stress


Abstract:

It is of paramount importance to determine the level of stress that drivers face while driving and processing a large amount of information coming from their vehicle, other vehicles and the surrounding environment. This is essential to improve road safety, driver performance and driver well-being. In addition, it enables the design of new advanced driving assistance systems that are coupled to the driving profile of the vehicle user, which would reduce the costs associated with accidents, promoting the development of intelligent traffic systems. In this context, the present study employs a bibliometric analysis of biosignal acquisition systems to examine the neurological and physiological aspects of driving stress. Scientific publications related to the acquisition of biosignals, including brain activity, heart rate, eye movement, muscle electrical activity, and skin conductance, are investigated. After these signals are processed, it is possible to determine the person stress level. A bibliometric analysis enables the identification of research trends, the most influential authors, the most relevant journals, and the countries engaged in research on the subject. Furthermore, the most commonly utilized systems and equipment for biosignal acquisition are identified. This approach provides a comprehensive overview of the current state of research, which allows us to direct our future research and highlights the importance of technology in improving road safety and the driver well-being.

Año de publicación:

2025

Keywords:

  • Bibliometric Analysis
  • bibliometric analysis
  • Biosignals Acquisition Systems
  • Stress in drivers

Fuente:

scopusscopus
orcidorcid

Tipo de documento:

Conference Object

Estado:

Acceso abierto

Áreas de conocimiento:

  • Neuropsicología
  • Análisis de datos
  • Factores humanos y ergonomía

Áreas temáticas de Dewey:

  • Biblioteconomía y Documentación informatica
  • Medicina y salud
  • Otras ramas de la ingeniería
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 3: Salud y bienestar
  • ODS 11: Ciudades y comunidades sostenibles
  • ODS 17: Alianzas para lograr los objetivos
Procesado con IAProcesado con IA