Name
Title | ||
|---|---|---|
Enhancing Classification Performance Of Fnirs-Bci By Identifying Cortically Active Channels Using The Z-Score Method |
Abstract | ||
|---|---|---|
A state-of-the-art brain-computer interface (BCI) system includes brain signal acquisition, noise removal, channel selection, feature extraction, classification, and an application interface. In functional near-infrared spectroscopy-based BCI (fNIRS-BCI) channel selection may enhance classification performance by identifying suitable brain regions that contain brain activity. In this study, the z-score method for channel selection is proposed to improve fNIRS-BCI performance. The proposed method uses cross-correlation to match the similarity between desired and recorded brain activity signals, followed by forming a vector of each channel's correlation coefficients' maximum values. After that, the z-score is calculated for each value of that vector. A channel is selected based on a positive z-score value. The proposed method is applied to an open-access dataset containing mental arithmetic (MA) and motor imagery (MI) tasks for twenty-nine subjects. The proposed method is compared with the conventional t-value method and with no channel selected, i.e., using all channels. The z-score method yielded significantly improved (p < 0.0167) classification accuracies of 87.2 +/- 7.0%, 88.4 +/- 6.2%, and 88.1 +/- 6.9% for left motor imagery (LMI) vs. rest, right motor imagery (RMI) vs. rest, and mental arithmetic (MA) vs. rest, respectively. The proposed method is also validated on an open-access database of 17 subjects, containing right-hand finger tapping (RFT), left-hand finger tapping (LFT), and dominant side foot tapping (FT) tasks.The study shows an enhanced performance of the z-score method over the t-value method as an advancement in efforts to improve state-of-the-art fNIRS-BCI systems' performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/s20236995 | SENSORS |
Keywords | DocType | Volume |
functional near-infrared spectroscopy, brain–, computer interface, z-score method, channel selection, region of interest, channel of interest | Journal | 20 |
Issue | ISSN | Citations |
23 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hammad Nazeer | 1 | 0 | 0.34 |
| Noman Naseer | 2 | 27 | 6.73 |
| Aakif Mehboob | 3 | 0 | 0.34 |
| Muhammad Jawad Khan | 4 | 34 | 4.25 |
| Rayyan Azam Khan | 5 | 0 | 1.35 |
| Umar Shahbaz Khan | 6 | 0 | 0.68 |
| Yasar Ayaz | 7 | 63 | 11.39 |