Key result
Fuzzy-assisted neural network model achieves ~99% prediction ratio for psychological health compared to existing models.
Why the study?
Athletes experience significant stress balancing training, competition, and daily life, making efficient psychological health analysis crucial in sports training.
Does the FNN-PHA model improve the accuracy of psychological health analysis in sportspersons compared to existing models?
Does the FNN-PHA model improve the accuracy of psychological health analysis in sportspersons compared to existing models?
A novel fuzzy-assisted neural network model utilizing ECG, EEG, and pulse rate demonstrates high accuracy in predicting psychological health and stress levels in sportspersons.
May support AI screening for athlete mental health; leaves open prospective clinical validation before use.
Stress is indeed a life aspect that influences everyone, even though athletes seem to suffer from it one step ahead of others because of the extent they are expected to balance between coursework, workouts, and competitions, along with everyday life and family stress. Therefore, an efficient psychological health analysis for sportspersons is crucial in sports training. This paper introduces a Fuzzy-assisted Neural Network model for Psychological Health Analysis (FNN-PHA) to assess mental stress by monitoring the Electro Cardio Gram signal (ECG), Electroencephalogram (EEG), and Pulse rate. This paper integrates the fuzzy assisted Petri nets, fuzzy assisted k-complex detector, and fuzzy assisted transient time analyzer to ensure the psychological health analysis neural network model’s adaptive performance. The strength of the proposed fuzzy model demonstrates interpretability against the accuracy of different criteria. The simulation analysis shows that the FNN-PHA model enhances the prediction ratio of 98.7%, emotional stability of 96.7%, personal growth of 95.7%, physical fitness level of 97.8%, and depression ratio of 12.5% when compared to other existing models.
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Li et al. (2021) studied Mental stress in sportspersons. Fuzzy-assisted Neural Network model for Psychological Health Analysis (FNN-PHA) vs. Other existing models was evaluated on Prediction ratio, emotional stability, personal growth, physical fitness level, and depression ratio. The Fuzzy-assisted Neural Network model for Psychological Health Analysis (FNN-PHA) achieved a prediction ratio of 98.7% and emotional stability of 96.7% compared to other existing models.
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