Electroencephalographic-based wearable instrumentation to monitor the executive functions during gait: a feasibility study

Authors

  • Pasquale Arpaia Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", Naples, Italy
  • Renato Cuocolo Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
  • Paolo De Blasiis Department of Mental and Physical Health and Preventive Medicine, Section of Human Anatomy, University of Campania "Luigi Vanvitelli", Naples, Italy
  • Anna Della Calce Department of Engineering for Innovation, University of Salento, Lecce, Italy
  • Allegra Fullin Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples, Italy and Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
  • Ludovica Gargiulo Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", Naples, Italy
  • Luigi Maffei Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", Naples, Italy
  • Nicola Moccaldi Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", Naples, Italy

DOI:

https://doi.org/10.21014/actaimeko.v12i2.1460

Keywords:

executive function monitoring, wearables, brain computer interface, dual task, electroencephalographic features

Abstract

A feasibility study on electroencephalographic monitoring of executive functions during dual (motor and cognitive) task execution is presented. Electroencephalographic (EEG) signals are acquired by means of a wearable device with few channels and dry electrodes. The light weight and wireless device allow for walking in a natural way. The most significant EEG features are investigated to classify different levels of activation for two fundamental Executive Functions (EF) both in sitting and walking conditions. Power spectral density in the gamma band resulted in the most relevant feature in discriminating low and high levels of Inhibition. Power spectral density in the beta and gamma bands resulted the most discriminating the level of activation of Working Memory. The study poses the basis for (i) monitoring the activation levels of EF during Gait allowing loss prevention in the elderly and (ii) specific cognitive rehabilitation aimed at the most relevant executive functions during walking.

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Published

2023-05-05

Issue

Vol. 12 No. 2 (2023)

Section

Research Papers

License

Copyright (c) 2023 Pasquale Arpaia, Renato Cuocolo , Paolo De Blasiis, Anna Della Calce, Allegra Fullin, Ludovica Gargiulo, Luigi Maffei, Nicola Moccaldi

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