# Novel Methods of AI-Based Gait Analysis in Post-Stroke Patients
## 4 Discussion
### Comparison with Results of Current Research  
The use of modern technology in gait analysis can be of great help in both clinical diagnosis and the assessment of risk and severity of pathology. In this paper, we focus on the application of AI as a simple gate-analysis solution, replacing complex gait analysis laboratories with primary care physicians and physiotherapists. The distinguishing features of our method have already been partially described in previous papers, and the evidence of its superiority over traditional methods is unequivocal. We compared our results with findings from publications [56; 57; 58] dedicated to the application of modern technology to the diagnosis of gait disorders resulting from neurologic and neurodegenerative conditions. The results of this comparison showed that our solution allows a more comprehensive assessment of both the state of the gait function in patients with neural deficits and its changes following rehabilitation. Nowadays, more and more attention is being paid to preventive medicine (medicine for healthy people), including the observation of non-age-related changes, which are becoming important indicators of physiological gait (with normal function), and are important for assessing the mobility and functional capacity of healthy people and those using assistive technologies. Because of the interest shown byclinicians in the applicability of the proposed methods, including correlations with clinical data and points focusing on real patient data, \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multicolumn{1}{c}{\multirow{2}{*}{**Velocity**}} & \multirow{2}{*}{**Cadence**} & \multicolumn{2}{c}{**Stride**} & \multicolumn{2}{c}{**Normalized**} & \multicolumn{2}{c}{**Normalized**} & \multicolumn{2}{c}{**Stride Length**} & \multicolumn{2}{c}{**Fractal**} & \multicolumn{2}{c}{**Fuzzy**} \\  & & & **Length** & **Velocity** & **Cadence** & **Stride Length** & **Dimension** & **Parameter** \\ \hline \multirow{2}{*}{Velocity} & \multirow{2}{*}{\(-\)} & 0.597 & 0.629 & 0.912 & 0.624 & 0.489 & \(-\)0.467 & 0.412 \\  & & \(p=0.001\) & \(p=0.000\) & \(p=0.002\) & \(p=0.003\) & \(p=0.007\) & 0.005 & 0.021 \\ \hline \multirow{2}{*}{Cadence} & \multirow{2}{*}{\(-\)} & 0.520 & 0.518 & 0.756 & \multirow{2}{*}{n.s.} & \(-\)0.576 & 0.642 \\  & & \(p=0.003\) & \(p=0.004\) & \(p=0.000\) & & \(p=0.002\) & \(p=0.004\) \\ \hline \multirow{2}{*}{Stride length} & \multirow{2}{*}{} & \multirow{2}{*}{\(-\)} & 0.523 & 0.491 & 0.771 & \(-\)0.629 & 0.657 \\  & & & \(p=0.003\) & \(p=0.011\) & \(p=0.001\) & \(p=0.032\) & \(p=0.022\) \\ \hline \multirow{2}{*}{Normalized} & \multirow{2}{*}{} & \multirow{2}{*}{} & \multirow{2}{*}{\(-\)} & 0.634 & 0.351 & \(-\)0.387 & 0.387 \\  & & & & \(p=0.001\) & \(p=0.013\) & \(p=0.004\) & \(p=0.016\) \\ \hline \multirow{2}{*}{Normalized} & \multirow{2}{*}{} & \multirow{2}{*}{} & \multirow{2}{*}{\(-\)} & 0.634 & 0.351 & \(-\)0.387 & 0.387 \\  & & & & \(p=0.001\) & \(p=0.013\) & \(p=0.004\) & \(p=0.016\) \\ \hline \multirow{2}{*}{Normal stride length} & \multirow{2}{*}{} & \multirow{2}{*}{} & \multirow{2}{*}{\(-\)} & \multirow{2}{*}{n.s.} & \(-\)0.487 & 0.432 \\  & & & & & \(p=0.012\) & \(p=0.005\) \\ \hline \multirow{2}{*}{Fractal dimension} & \multirow{2}{*}{} & \multirow{2}{*}{} & \multirow{2}{*}{\(-\)} & \multirow{2}{*}{\(-\)} & \(-\)0.423 & 0.412 \\  & & & & & \(p=0.006\) & \(p=0.005\) \\ \hline \multirow{2}{*}{Fuzzy parameter} & \multirow{2}{*}{} & \multirow{2}{*}{} & \multirow{2}{*}{\(-\)} & \multirow{2}{*}{\(-\)} & \(-\)0.489 \\  & & & & & \(-\)0.489 & \(p=0.001\) \\ \hline \hline \multicolumn{1}{c}{n.s: not significant.} \\ \hline \end{tabular}
\end{table} 
Table 7: Correlations of parameter changes before and after therapy in the control group. our solution has also been used in clinical trials [59; 60]. However, the fast and reliable assessment of gait quality and, after aggregation, HRQoL in post-stroke patients is still a significant problem for scientists and clinicians on a global scale.