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Advancing biomedical engineering: Leveraging Hjorth features for electroencephalography signal analysis Cover

Advancing biomedical engineering: Leveraging Hjorth features for electroencephalography signal analysis

Journal of Electrical Bioimpedance
Volume 14 (2023): Issue 1 (January 2023)
By: Wissam H. Alawee,  Ali Basem and  Luttfi A. Al-Haddad  
Open Access
|Dec 2023
Figures & tables

Figures & Tables

Fig.1:

A schematic representation of the brain regions selected for EEG signal recording [13].

Fig.2:

The OpenBCI Cyton with Daisy Biosensing Board and associated EEG headgear, detailing the hardware setup used in signal collection [13].

Fig.3:

The reclining chair with delineated limb angles and the monitor placement at a 1.5-meter distance, ensuring direct alignment with the participant’s field of vision [13].

Fig.4:

EEG signals over a 4-second interval with 500 instances for Subject 10 in CRH phase.

Fig.5:

EEG signals over a 4-second interval with 500 instances for Subject 10 in Resting phase.

Fig.6:

Hjorth parameters of the Resting movement, namely activity, mobility, and complexity for all electrodes.

Fig.7:

Hjorth parameters of the CRH movement, namely activity, mobility, and complexity for all electrodes.

Fig.8:

Activity, mobility, and complexity of electrode 14 readings for both resting and closing right hand.

Fig.9:

Activity, mobility, and complexity of electrode 15 readings for both resting and closing right hand.

Task abbreviations assigned to different limb movements_

TaskDescription
BEORecording a Baseline with Eyes Open
CLHClosing Left Hand: five times per run
CRHClosing Right Hand: five times per run
DLFDorsal flexion of Left Foot: five times per run
PLFPlantar flexion of Left Foot: five times per run
DRFDorsal flexion of Right Foot: five times per run
PRFPlantar flexion of Right Foot: five times per run
RestResting in between tasks: after each task
DOI: https://doi.org/10.2478/joeb-2023-0009 | Journal eISSN: 1891-5469
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Language: English
Page range: 66 - 72
Submitted on: Nov 14, 2023
Published on: Dec 31, 2023
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Biomedical engineering,
electroencephalography,
Hjorth features,
machine learning,
signal processing
Related subjects:
Engineering,
Bioengineering and biomedical engineering,
Biomedical electronics,
Life sciences,
Biophysics,
Medicine,
Biomedical engineering,
Physics,
Spectroscopy and metrology

© 2023 Wissam H. Alawee, Ali Basem, Luttfi A. Al-Haddad, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 14 (2023): Issue 1 (January 2023)
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