Abstract

A method for EEG-based distraction detection during motor-rehabilitation tasks is proposed. A wireless cap guarantees very high wearability with dry electrodes and a low number of channels. Experimental validation is performed on a dataset from 17 volunteers. Different feature extractions from spatial, temporal, and frequency domain and classification strategies were evaluated. The performances of five supervised classifiers in discriminating between attention on pure movement and with distractors were compared. A k-Nearest Neighbors classifier achieved an accuracy of 92.8 ± 1.6%. In this last case, the feature extraction is based on a custom 12 pass-band Filter-Bank (FB) and the Common Spatial Pattern (CSP) algorithm. In particular, the mean Recall of classification (percentage of true positive in distraction detection) is higher than 92% and allows the therapist or an automated system to know when to stimulate the patient’s attention for enhancing the therapy effectiveness.

Highlights

  • A method for EEG-based distraction detection during motor-rehabilitation tasks is proposed

  • Sohlberg and Mateer propose a characterization of attention in four different d­ imensions[6]: (i) the Arousal indicates the activation level and defines the psychophysiological activation allowing the afference of the different stimulations; (ii) the Selective attention: points out the ability to focus attention on a specific source or sensory channel; (iii) the Distributed attention is the ability to simultaneously process information from multiple sources; and (iv) the Sustained attention is the ability to direct and maintain cognitive prolonged activity on a specific stimuli

  • Each channel is differential with respect to AFz (REF), and referred to Fpz (GND), according to 10/20 international system

Read more

Summary

Introduction

A method for EEG-based distraction detection during motor-rehabilitation tasks is proposed. Sohlberg and Mateer propose a characterization of attention in four different d­ imensions[6]: (i) the Arousal indicates the activation level and defines the psychophysiological activation allowing the afference of the different stimulations; (ii) the Selective attention: points out the ability to focus attention on a specific source or sensory channel; (iii) the Distributed attention is the ability to simultaneously process information from multiple sources; and (iv) the Sustained attention is the ability to direct and maintain cognitive prolonged activity on a specific stimuli. Many studies deal with assessing the attention and its different dimensions through the analysis of the brain signals using the ElectroEncephalography (EEG)[12]. Most of the studies in the rehabilitation sector adopted a within subject approach for training the classifiers in distraction detection. Using a 18-channel system and wet electrodes on 12 participants, Scientific Reports | (2021) 11:5297

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.