High-potential motorsport drivers demonstrated significantly superior autonomic regulation compared to no-potential drivers, evidenced by a higher pNN50 (19.4% vs 8.5%, p<0.05).
Observational (n=15)
No
Does Heart Rate Variability (HRV) measured via ECG identify high-potential motorsport drivers?
Integrating ECG data to measure HRV provides a robust multimodal physiological approach for identifying driver potential in high-performance motorsport.
Tasa de eventos absoluta: 19.4% vs 8.5%
valor p: p=<0.05
High-performance motorsport places immense physiological demands on the cardiovascular system, requiring robust physiological regulation. While our previous research successfully utilized Electroencephalography (EEG) to identify driver potential based on neural efficiency, relying solely on neural metrics is insufficient due to EEG's susceptibility to noise and artifacts in dynamic driving environments. To address this, we propose integrating Electrocardiography (ECG) to provide multimodal information that creates a more comprehensive assessment. This study validates the use of ECG alongside established EEG benchmarks to distinguish driver potential. Using experimental data from 15 participants on the Silverstone Circuit, ECG indices (SDRR, RMSSD, pNN50) were analyzed. The results revealed that ECG metrics successfully distinguished between “Potential” and “No Potential” groups, reinforcing the neural classifications with data. Specifically, “Potential” drivers exhibited superior physiological regulation (significantly higher SDRR and RMSSD), indicating a greater physiological reserve. Conversely, the “No Potential” group showed reduced Heart Rate Variability (HRV), reflecting higher stress responses. These findings confirm that integrating ECG data establishes a robust multimodal physiological approach, enhancing the reliability of driver potential identification in high-performance motorsport.
Terapaptommakol et al. (Thu,) conducted a observational in Healthy participants (motorsport simulation) (n=15). High-potential driver classification vs. No-potential driver classification was evaluated on pNN50 (percentage of successive RR intervals > 50 milliseconds) (p=<0.05). High-potential motorsport drivers demonstrated significantly superior autonomic regulation compared to no-potential drivers, evidenced by a higher pNN50 (19.4% vs 8.5%, p<0.05).