## 9 Conclusions  
The field of brain-computer interface (BCI) research holds potential for medical uses and presents neurophysiological proof supporting BCI-triggered neuroplastic modifications. Nevertheless, there is a shortage of definitive clinical studies validating the efficacy \begin{table}
\begin{tabular}{c c c c} \hline \hline
**References** & **Year** & **Dataset** & **DL Model** & **Classification Results** \\ \hline
[62] & 2016 & BCI competition IV dataset 2b & CNN+SAE & 72.40\% \\
[63] & 2017 & Collected (109 subjects) & CNN & 86.41\% \\
[64] & 2018 & Physionet EEG MI Dataset & CNN & 80.38\% \\
[65] & 2019 & BCI competition IV dataset 2a & CNN & 82.09\% \\
[66] & 2019 & BCI competition IV dataset 2b & CNN & 77.72\% \\
[67] & 2019 & BCI competition data IV 2a & CNN+SAE & 79.90\% \\
[68] & 2019 & BCI competition data IV 2a & CNN+Bi-GRU & 76.62\% \\
[69] & 2019 & BCI competition data IV 2a & CNN & 73.40\% \\
[70] & 2019 & BCI competition data IV 2a & CNN & 75.7\% \\
[71] & 2019 & Collected (22 subjects) & CNN & 73.70\% \\
[72] & 2020 & BCI Competition IV 2b & CNN & 83.20\% \\
[73] & 2020 & BCI competition IVa, right index finger MI dataset & CNN & 90.00\% \\
[74] & 2020 & BCI competition IV dataset 1 & CNN & 86.40\% \\
[75] & 2021 & CNN & 76.21\% \\
[76] & 2021 & BCI Competition IV dataset 2a and 2b & CNN & 88.40\% \\
[77] & 2021 & BCI Competition IV 2a, III & CNN & 85.30\% \\
[78] & 2021 & Collected (12 subjects) & Bi-LSTM & 68.00\% \\
[79] & 2021 & BCI competition V dataset, Emotiv dataset & CNN & 72.51\% and 72\% \\
[80] & 2021 & BCI competition IV dataset 2a & CNN & 90.00\% \\
[81] & 2022 & PhysioNet dataset & CNN & 92.00\% \\
[82] & 2022 & Med-62 & ConvNet & 72.66\% \\
[83] & 2022 & EEG Motor Movement Dataset V 1.0.0 & CNN & 99.38\% \\
[84] & 2022 & MRFP & CNN & 91.00\% \\
[85] & 2023 & BCI competition IV dataset 2a & Adaptive CNN & 93.20\% \\
[86] & 2023 & Collected (30 subjects) & Attention-based CNN & 88.75\% \\
[87] & 2023 & BCI competition IV dataset 2b & Graph-CNN & 89.60\% \\
[88] & 2024 & PhysioNet EEG MI Dataset & Hybrid CNN-RNN & 94.50\% \\
[89] & 2024 & BCI competition IV dataset 2a & Transformer-based Model & 92.30\% \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Most significant publications from 2016 to 2024.  
of BCI interventions, hindering their incorporation into universally recognized clinical practices. BCI systems display varied design features, and preliminary brain priming before intervention has been proven to enhance rehabilitation outcomes. The convergence of BCI-driven robotics with complementary methods like BCI-linked neuromuscular stimulation unlocks promising avenues, particularly in stroke rehabilitation. Notably, the emergence of BCI-controlled soft robots presents exciting possibilities in this domain. By seamlessly integrating BCIs into rehabilitation programs, individuals can be empowered by restoring independence for those facing cognitive or physical limitations. Moreover, the versatility of EEG equipment extends beyond rehabilitation; it holds tremendous potential for both people without health issues and those with disabilities in various everyday scenarios. For non-invasive BCI applications to truly flourish, developers must prioritize market needs and design with the end user in mind. Integrating wireless solutions not only enhances user convenience but also bolsters viability for sustained involvement over an extended period and use in outdoor settings. However, ensuring robust data security and conducting rigorous user experience assessments are cornerstones for widespread BCI adoption across diverse industries. In conclusion, while BCI technology holds undeniable promise, particularly in rehabilitation settings, ongoing research and a user-centric approach are critical to maximizing its effectiveness and broadening its impact. By prioritizing market needs, embracing wireless solutions, and ensuring data integrity and user satisfaction, BCI technology can be empowered to bridge the gap between scientific potential and real-world applications.