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GaitVista: Reliable Measurement with Artificial Intelligence in Walking Rehabilitation

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GaitVista: Reliable Measurement with Artificial Intelligence in Walking Rehabilitation
Photo: Steve A Johnson / Unsplash

It is a critical challenge to measure whether patients are healing walking functions in physical therapy and rehabilitation centers. Here at this point, a research team presented a new yapay intelligence measurement system, named GaitVista. This technology makes it possible to collect reliable data besides professional laboratories.

The main advantages of the system can be summarized as follows:

  • Using small cameras and wearable sensors to measure at home or inspection room
  • Ability to distinguish sensor and camera failure from patient change
  • Providing reliability values for each joint and time zone
  • Easy to monitor long-term walking healing
  • Reduces the necessity of patients often go to centers

Because traditional 3D motion capture systems are very expensive and difficult to transport, most patients have limited access. Although wearable inert sensors and mobile cameras offer more affordable and portable solutions, they can experience unstable problems on these devices. GaitVista’sgest detection layer controls the quality of data by recognizing errors in sensors.

This innovation can change the rules of the game for patients who follow walking recovery especially after stroke, Parkinson’s disease or or orthopedic surgery. It allows for the creation of more objective reports in long-term rehabilitation programs.