Recently, a children’s hospital clinical gait and movement lab embarked on a visualization technology upgrade to improve patient evaluation and diagnosis.
A clinical gait and movement lab evaluates patients with neuromuscular and muscoskeletal conditions. The main purpose is to analyze the movement of patients undergoing treatment for their physical challenges. And a lot goes into measuring these movements.
The core measurements needed to accurately analyze movement are 3D motion kinematics for joint motion, 3D kinetics for joint force and power, muscle activity and general walking measurements like walking speed, step length and gait symmetry. To capture all of this information a lab needs cameras, sensors, motion capture systems, and a variety of custom devices and software.
Having used their multi-image display processor for the past 14 years, the lab decided it was time for an upgrade. Throughout that time, though, the processor, provided by RGB Spectrum, performed flawlessly and delivered field-proven reliability, which heavily factored into the lab reaching out to RGB Spectrum once more.
Upgrading the Technology
The processor needed to be able to preserve image fidelity with precise depiction of the images being captured maintaining native resolutions and aspect ratios to eliminate the possibility of artifacts and distortion that could interfere with the readings.
To meet these high demands, the lab selected RGB Spectrum’s more powerful Galileo processor for its exceptional video processing performance, versatile support of input sources and 24/7 reliability.
The Galileo processor works by receiving two input feeds from high resolution camera, capturing multiple views of the patient in motion alongside a real-time Electro Myogram (EMG) feed and annotation screens containing patient information. The processor then consolidates these visuals and data to display a correlated, multi-window view on a large screen for clinical movement analysis.
Further Improving on Analysis
As part of the Galileo processor features, operators can instantly switch inputs for presentation in customizable, preset display layouts for different types of patients or testing protocols. Multiple sources of visual information are consolidated into a single image which is displayed, streamed and recorded.
Operators can also crop regions of the camera videos and reassemble them to present associated views of the patient’s movements, further enhancing the analysis. From there, specialists can view all the graphical and analytical information collected during the testing for analysis and diagnostic purposes.
Another version of this article previously appeared on Commercial Integrator.