Newly Published Gait Analysis Study Demonstrates Excellent Repeatability of Digitsole’s Smart Insole AI-Based Solutions

A novel study published in the (TBD) issue of Sensors, the leading international, peer-reviewed, open access journal on the science and technology of sensors – entitled Test-Retest Reliability of PODOSmart® Gait Analysis Insoles – concluded that Digitsole’s PODOSmart® insoles present excellent repeatability in gait analysis parameters.

Repeatability or test-retest reliability indicates the agreement between multiple assessments of the same measurement, under the same conditions. The importance of a repeatability measurement cannot be underestimated as it determines the device’s overall reliability. The demonstration of this excellent repeatability means that the device can be used by healthcare professionals appropriately and provides the reassurance and confidence that the measurements will be consistent and precise. These results provide strong clinical evidence about the reliability of this innovative gait analysis tool.

The first-generation smart insole PODOSmart® system was first introduced in 2019 as a new tool for gait analysis against high-cost laboratory-based equipment. The PODOSmart® system measures walking profile and gait variables in real-life conditions. PODOSmart® insoles consist of wireless sensors, which can be fitted into any shoe and offer the ability to measure spatial, temporal, and kinematic gait parameters. Both the process to gather the data and the algorithms used for the analyses are patented by Digitsole.  

Digitsole, a world leader in digital health, has since launched its new second-generation, Digitsole Pro® system and smart insoles in the fall of 2021 in the U.S., with even more advanced medical applications than its former predecessor PODOSmart® -- it was strategically developed on the same proprietary artificial intelligence (AI) based technology platform, further underscoring and validating its utility. Digitsole Pro® will allow healthcare professionals to improve a patient’s walking, running and baseline clinical assessments by measuring objective biomechanical data that cannot be observed by the naked eye. This innovative solution provides healthcare experts with the ability to improve patient outcomes.  

To review the full published Reliability study manuscript, click here.

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