Remote running analysis and monitoring

By Jeroen Baele – Groepspraktijk Tille

We’re well aware that running injuries are prevalent and can significantly impede progress, often requiring substantial time for recovery. These injuries are influenced by various factors, with running mechanics playing a crucial role. Capturing someone’s loading pattern during running can greatly assist in optimizing a training plan.

Despite the wealth of research conducted in advanced laboratories, biomechanical data from daily training can provide clinicians with invaluable insights. This is precisely why we present a case study from Jeroen Baele of Groepspraktijk Tille, illustrating how remote biomechanical data from daily training sessions is utilized to monitor progress and tailor training regimens accordingly.

Background story of the runner

A middle-aged runner experienced a proximal hamstring injury on her right side, which persisted for several months. The injury occurred during marathon training using an online app, leading to the need for careful management by Jeroen. Balancing training and recovery for the upcoming marathon while addressing the overuse injury posed a significant challenge. As the rehabilitation process prolonged, she began to encounter patellofemoral pain issues in her right knee.

Running quality in August '23

After numerous flare-ups, she did her Runeasi assessment in the summer of 2023, revealing areas of weakness. It became apparent that her quality score had slightly declined, dropping from 55% to 43% following her injury. This assessment served as a valuable starting point to monitor her progress in rehabilitation.

Runeasi monitoring during her daily training

Over 3 months, a total of 37 running sessions were recorded, including both easy runs and interval sessions. This dataset provides Jeroen with a solid foundation for pinpointing insights and identifying weaknesses in her daily training regimen. Now, let’s delve further into some of the key insights from this extensive dataset.

1. Clear progress in her easy runs

Running quality during easy runs
Running quality during easy runs

We noticed she’s been doing better in her easy runs. Her running quality score has improved from around 40% to about 60%. The biggest change is in left-to-right symmetry, going from 40-50% to 60-70%. This matches up with her feeling better too. She went from a bit of pain, rated 2 out of 10, to feeling no pain at all, a 0 out of 10.

“Remarkably, we were able to alleviate her pain without resorting to cues. Attempts to adjust her running mechanics through cueing proved ineffective, prompting us to adopt a different approach. Throughout her training period, we monitored her running mechanics across various sessions conducted at home.” – Jeroen

Throughout this period, her focus primarily centered on increasing the load capacity of her hamstrings and improving her dynamic stability. Notably, efforts to improve her running technique using various cues did not improve her running quality.

2. Shift in rhythm and impact load

Impact magnitude and cadence
Impact magnitude and cadence during easy & interval sessions

Moreover, we noticed a shift in her running cadence, the number of steps taken per minute, during both easy runs and interval sessions. This shift appears closely linked to the magnitude of impact her body experiences with each step. Particularly notable is the improvement in her right leg, previously injured, from experiencing 5-6 G to 3.5 G impact.

Reducing impact by 2-3 G can significantly impact training outcomes. With this decrease, she can sustain running for 30 to 40% longer while maintaining the same cumulative impact, enabling increased training volume without additional stress on the body.

The change in cadence seems to have occurred naturally, likely influenced by increased training during that period and adherence to her exercise program. This underscores the notion that altering the running technique isn’t always necessary to achieve improvements.

How did this change her rehabilitation?

Seeing the outcomes and progress throughout 2 to 3 months was incredibly motivating for her. When dealing with an injury, improvements in pain levels are often the primary indicators of progress. However, having objective results allowed her to tangibly witness how her exercises were impacting her movement efficiency. This not only provided validation but also served as a source of motivation.

Picture of Provided by Jeroen Baele

Provided by Jeroen Baele

Jeroen is a sports physiotherapist. He has a passion for basketball and a background in high-level youth basketball. His interest in exercise physiology, particularly running, stems from his youth. He sees runeasi as a valuable tool for objectively assessing running technique, complementing his coaching cues. He adopts a scientific approach, emphasizing the importance of measurement for progress. Currently, he works at the Tille group practice, coaches at Avanti Brugge basketball club, and is employed at Cosmogroup, focusing on multi-omics analyses.

5 rEASONS TO USE OUR APP

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. 

3 REASONS TO CAPTURE DATA USING THE RUNEASI BELT

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.

SENSOR SPECS

LAB GRADE SENSOR

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

WATER & SCHOCK PROOF

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.