The dataset comprises functional near-infrared spectroscopy (fNIRS) recordings of hand-gripping motor activity. The data is provided in three forms:
Raw Data: Unprocessed optical density values recorded using the nirSpot-2 system.
Processed Data: Data converted into oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) concentration changes using standard preprocessing techniques.
Labeled Data: A fully processed and labeled version of the dataset, facilitating classification tasks.
Further details regarding the dataset, including acquisition methodology, preprocessing steps, and potential applications, are provided in the manuscript:
Akhter, J., Naseer, N., Nazeer, H., Khan, H., & Mirtaheri, P. (2024). Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application. Sensors, 24(10), 3040.