Gender-Based Differences in Biomechanical Walking Patterns of Athletes Using Inertial Sensors.

Background: Wearable inertial sensors are essential tools in biomechanics and sports science for assessing gait in real-world conditions. This study explored gender-based differences in biomechanical walking patterns among healthy Greek athletes using the BTS G-Walk system, focusing on key gait parameters to inform gender-specific training and rehabilitation strategies. Methods: Ninety-five healthy athletes (55 men, 40 women), aged 18 to 30 years, participated in this study. Each athlete performed a standardized 14 m walk while 17 biomechanical gait parameters were recorded using the BTS G-Walk inertial sensor. Statistical analyses were conducted using SPSS to assess gender differences and left-right foot symmetry. Results: No significant asymmetry was found between the left and right feet for most gait parameters. Men exhibited longer stride lengths (left: p = 0.005, Cohen's d = 0.61; right: p = 0.009, Cohen's d = 0.53) and longer stride and gait cycle durations (left: p = 0.025, Cohen's d = 0.52; right: p = 0.025, Cohen's d = 0.53). Women showed a higher cadence (p = 0.022, Cohen's d = -0.52) and greater propulsion index (left: p = 0.001, Cohen's d = -0.71; right: p = 0.001, Cohen's d = -0.73), as well as a higher percentage of first double support (p = 0.030, Cohen's d = -0.44). Conclusions: These findings highlight the impact of biological and biomechanical differences on walking patterns, emphasizing the need for gender-specific training and rehabilitation. The BTS G-Walk system proved reliable for gait analysis, with potential for optimizing performance, injury prevention, and rehabilitation in athletes. Future research should explore larger, more diverse populations with multi-sensor setups.