Abstract
The investigation of the neural correlates of human gait, as measured by means of non-invasive electroencephalography (EEG), is of central importance for the understanding of human gait and for novel developments in gait rehabilitation. Particularly, gait-event-related brain potentials (gERPs) may provide information about the functional role of cortical brain regions in human gait control. The purpose of this paper is to explore possible experimental and technical solutions for time-sensitive analysis of human gait ERPs during spontaneous and instructed treadmill walking. A solution (hardware/software) for synchronous recording of gait and EEG data was developed, tested and piloted. The solution consists of a custom-made USB synchronization interface, a time-synchronization module, and a data-merging module, allowing the temporal synchronization of recording devices, time-sensitive extraction of gait markers for the analysis of gERPs, and the training of artificial neural networks. In the present manuscript, the hardware and software components were tested with the following devices: A treadmill with an integrated pressure plate for gait analysis (zebris FDM-T) and an Acticap non-wireless 32-channel EEG system (Brain Products GmbH). The usability and validity of the developed solution was investigated in a pilot study (n = 3 healthy participants, n = 3 females, mean age = 22.75 years). The recorded continuous EEG data were segmented into epochs according to the detected gait markers for the analysis of gERPs. Finally, the EEG epochs were used to train a deep learning artificial neural network as classifier of gait phases. The results obtained in this pilot study, although preliminary, support the feasibility of the solution for the application of gait-related EEG analysis.
Highlights
The rehabilitation of patients with gait-related health problems plays an important role in medical health care [1,2]
This pilot study explored the experimental and technical solutions for the analysis of gait-event-related brain potentials during treadmill walking based on gait markers taken from pressure plates implemented in the treadmill
The attempt to evaluate the neural correlates of human gait by means of EEG is not new, the approach of the present study aimed to investigate open key questions that will be discussed in detail
Summary
The rehabilitation of patients with gait-related health problems plays an important role in medical health care [1,2]. Stroke, aging, overweight, medication, and diseases such as diabetes mellitus type II or mild cognitive impairments, as well as other life circumstances such as accidents at work or at home can lead to impairments in human gait [3,4]. Problems in gait control are not always diagnosed properly because the factors contributing to changes in human gait patterns are multi-factorial. Subtle impairments in gait are often not detected in traditional clinical assessments and observations of gait. The physical symptoms of impaired gait can be.
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