Dynamic Stability Improvements Through Targeted Cues and Exercises

By Esther Vanwijck – SPOR Mechelen

Dealing with running injuries is a common challenge for both runner and physiotherapist. It’s crucial to address and improve the contributing factors to minimize recurrence rate. In this blog post, we will dive into the running data of a runner who successfully overcame pain in the tibialis posterior muscle and a history of bilateral shin splints with the guidance of Esther Vanwijck, a skilled physiotherapist at SPOR Mechelen. Esther utilized objective running data to track progress and made tailored adjustments to the training plan over a period of three months, resulting in significant improvement for the runner. This story serves as an excellent example for physiotherapists and health-care providers on how to use data-driven insights to optimize training plans and prevent running injuries for their clients.

The above graph displays the evolution of the runner’s running quality over a 12-week period. The initial screening showed a quality score of 41%. But with Esther’s tailor-made approach, the score improved to an impressive 73%. This represents a remarkable improvement of 32%, with all tests performed at the same running speed. Read on to discover the specific interventions that were implemented to achieve this substantial improvement in running quality.
Identified weakest links with runeasi analysis

During the initial running assessment on a treadmill (November 3rd), an overall running quality score of 41% was recorded. The data analysis by Runeasi revealed a noticeable asymmetry between the left and right leg in controlling the side-to-side hip movements, indicating a lack of stability in the kinetic chain during running. Based on this finding, Esther conducted a second recording, where the athlete was given a cue to minimize lateral hip movements while running. The athlete responded well to the cue, resulting in an overall improvement to 52%. As shown in the first graph, this cue not only improved the symmetry score (+12%), but it also improved the dynamic stability score impressively (+30%)

From runeasi analysis to a targeted exercise program

Over the following weeks, the athlete underwent a program provided by Esther, which targeted unilateral stability. The program’s initial phase involved doing various foot core exercises that were based on recent research by Ulisses T. Taddei and colleagues, as well as exercises from Jay Dicharry’s work. In addition, the program included static hip stability exercises, such as the static hip lock exercises, which were inspired by Frans Bosch.. As the athlete progressed, the program transitioned into a more dynamic approach, incorporating overhead walks and running-specific drills with an emphasis on maintaining proper form.

Following 12 weeks of training, the runner’s running quality improved from 52% to 65%, with noteworthy enhancements in dynamic stability (+17%) and symmetry (+15%). However, there were no significant improvements in the impact loading score. Runeasi’s next recommendation was to decrease the impact shocks that reach the lower back. Subsequently, the athlete was retested while being cued to focus on a better foot roll-off, resulting in an impressive 73% overall running quality score. While there was only a slight improvement in the impact loading (+4%), there was a noticeable positive influence on overall symmetry (+18%).
Considerations for the future

The improvements achieved by the athlete and physiotherapist over the 12-week period are impressive, and they have set the stage for even greater success in the future. By incorporating more strength- and plyometric-oriented training, the athlete can further enhance the efficiency of their kinetic chain and minimize the impact shocks that reach the lower back. With the help of data-informed insights and a tailored approach, the sky’s the limit for what they can accomplish. We hope that this story has served as an excellent example for physiotherapists and healthcare providers on how to leverage objective running data to optimize training plans and prevent running injuries for their clients. By embracing this approach, we can help more runners overcome their injuries and achieve their goals.

Picture of Case insight provided by: Esther Vanwijck

Case insight provided by: Esther Vanwijck

Esther is a Belgian sports physiotherapist who places great importance on utilizing evidence-based practices based on the latest research findings. Throughout her career, she has gained extensive experience by providing her services to a diverse range of athletes, including recreational and elite athletes. Esther has worked with several notable sports teams such as the Yellow Flames (soccer), the female A-team of AVO Asterix (volleyball), and the basketball players of Kangoeroes Basket Mechelen.

Discover the art of guiding clients through objective data

Speak to a member of our Runeasi team, and learn how Runeasi can help you know how your athletes respond individually to different shoes. 


1. Global movement quality

Track and improve your client’s Runeasi running quality. Identify their weakest link with our advanced visualisation.

2. individual recommendations

Get individual training and cueing recommendations to improve your client’s weakest link.

3. Real-time feedback


4. Session trends

Learn more about your client’s running quality during daily training. Our session trends show when and where the quality drops with fatigue.

5. Quick comparisons

Compare pre-post data to show intervention effects on the movement quality. 


1. No motion artifacts. The Runeasi belt is secured tightly against the body and the skin to capture the actual movements of the body’s center of mass. Attaching or clipping the sensor directly to the pants would allow the sensor to wobble from side to side (i.e., measuring the wobbling of the pants, and not the human body.

2.  Easy to standardize the sensor’s positioning. The Runeasi belt makes it easy to consistently position the sensor close to the center of mass. Attaching the sensor directly to the pants would dramatically affect the reliability of the outputs as the height and tightness of the pants will affect the results. Moreover, these pants attachments often shift sideways while running which further decreases the data quality. 

 3. Comfortable to wear.  Hundreds of runners confirmed that they immediately forget about our belt while running. This allows them to move without any restrictions and allows us to capture movements that are representative of a client’s true biomechanics.



Accurately captures full range of motion and kinetic parameters by leveraging wide sensing range (16 Gs) & high sampling frequency (1000 Hz)


Built to withstand high intensity training and sweating. Suitable for the outdoor elements, come rain or shine. Robust to handle the repetitive and ruthless impact shocks of running.

Lightweight & SLIM

Seamlessly integrates onto the body to support movement without restrictions. Weight: 9.4g/0.33oz with battery. Dimensions (36.6mm/1.44” dia. X 10.6mm/ 0.42” thick)

No charging wireless

Replaceable coin-cell battery with operating time up to months, depending on the usage. Bluetooth® 5.0 radio for effortlessly transmitting data real-time or post-session.