Design and validation of a novel portable electrode holder for motor-related EEG measurement

ObjectiveA simplified headset to measure electroencephalography (EEG) from sensorimotor areas is necessary to monitor motor-related neural responses accurately in real-world environments. The aim of the present study was to design and validate a novel, easy-to-use, and reliable EEG electrode holder that enables positioning of the EEG electrodes directly over the sensorimotor cortex, while enabling flexibility in relation to varying head size. ApproachThe spatial distribution of motor-related EEG activity was estimated using a dataset of high-density EEG (HD-EEG) from 82 participants. International databases of head shape were analyzed to determine dimensional requirements for a headphone-shaped holder. The proposed headset was validated by comparing its recordings with those obtained with a commercially available HD-EEG (Experiment 1) and by computing the actual position and recorded EEG motor-related activity obtained using the proposed holder (Experiment 2). Main resultsThe estimated distance between the measurement electrode and the top of the head, used as a design requirement for the proposed headset, ranged from 56.2 to 80.0 mm. Experiment 1 showed that the center frequencies of alpha-band recorded by the proposed and by the HD-EEG headsets were highly correlated (r=0.97). Experiment 2 showed that, by using the proposed headset, the actual placement of electrodes was within 8 mm from the ideal positions. Moreover, the experiment showed consistent results in terms of task-, location-, and frequency-specific modulation of sensorimotor activities in the alpha-band. For example, significant contralateral motor-related event-related desynchronization in the alpha-band, and significant alpha-band power increase during the eyes closed condition, namely event-related synchronization. SignificanceThe proposed electrode holder is easy to use and adjustable to compensate for varying head size and it may enable reliable measurement of motor-related EEG. It could support practical application of motor-related EEG acquisition in real-world contexts in several applications including sports, rehabilitation, and artistic performance.