Running shoe selection—Kim Segers

RUNNING SHOE SELECTION

EVALUATING THE RESPONSE TO INSOLES/FOOTWEAR

A 31-year old recreational runner performed a three-speed screening protocol entailing a one-minute run at 8,10, and 12km/h while running barefoot and in in two shoe conditions. 

Using Runeasi’s automatic report generation feature, we can evaluate the effects of the shoe conditions on his running biomechanics. Speed effects: the overall trends consistently show that his impact magnitude and dynamic instability increase and his impact duration shortens with faster speeds. Shoe effects: We can see that compared to barefoot, in both shoe conditions his impact loading is higher (magnitude) and over a shorter time period (impact duration). 

Picture of Case insight provided by: Kim Segers, Moov Podologie

Case insight provided by: Kim Segers, Moov Podologie

Bio: Head Podiatrist at Moov Podologie

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Runeasi is an AI-driven, wearable 3D gait analysis technology designed to optimize running performance and reduce injury risk for athletes of all levels.
Runeasi is an AI-driven, wearable 3D gait analysis technology designed to optimize running performance and reduce injury risk for athletes of all levels.

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