Signed in as:
filler@godaddy.com
The Science Behind Runeasi’s Running Analysis
Runeasi is not just another running app; it’s a sophisticated biomechanical analysis tool that provides valuable insights into how you run. By analyzing your gait, runeasi identifies patterns that could lead to injuries or affect your efficiency. But what makes runeasi stand out for running analysis?
- Precision and Accessibility: Runeasi uses advanced algorithms and sensors to capture detailed biomechanical data during your run, making professional-grade analysis accessible to the everyday runner in Durban.
- Injury Prevention: By pinpointing biomechanical inefficiencies, runeasi helps in devising personalized strategies to prevent common running injuries.
- Performance Optimization: Understanding your unique gait cycle allows for tailored training recommendations, enhancing your running efficiency and speed.
Running quality score
The Running Quality Score synthesizes biomechanical components to highlight weakest links:
Dynamic Stability
Dynamic instability represents the proportion of hip movement in the medio-lateral direction during ground contact. It captures how much energy is wasted that is not contributing to forward propulsion.
Recent research showed that this parameter is linked to energy cost of running (Schütte 2018) and is an important biomechanical risk-factor in overuse injuries (Pla et al. 2021).
Impact Loading
We measure the impact reaching your lower back immediately after the foot hits the ground.
Impact magnitude is the peak value and is the indicator of the global running load. Impact duration is the timing component that indicates the rate of loading. It explains how well the load is absorbed by the lower legs.
Both parameters are strongly linked to patients with running-related injuries (Burke et al. 2022) & are most accurate to measure cumulative impact load (Vanwanseele et al. 2020).
Symmetry
Measuring gait asymmetry is very important for your client. Movement dysfunctions during running and walking can prolong for years with injury (White et al. 2013; Thomson et al. 2018).
Gait asymmetry is clearly linked with energy cost in running gait (Melo et al. 2020).
