Published Wednesday, March 14, 2018
ForaHealthyMe Inc., is pleased to announce the completion of a study to assess how accurately its proprietary kinematic motion capture system (which measures joint angles during human movement) performs against a gold standard motion capture system.
Developed to address issues related to patient access to care and the ability of health providers to deliver services remotely, the solution uses proprietary mathematical algorithms, motion tracking, 3D Avatars and Gesture Recognition Technologies. Health providers can virtually prescribe an exercise routine, gather data, monitor and communicate with patients during the preoperative and postoperative phases of care.
The study entitled: "An Evaluation of the Validity and Reliability of the Kinect-based System Developed by ForaHealthyMe Inc." was conducted by Dmitry Verniba, M.Sc., Ph.D. graduate from the York University Orthopaedic Neuromechanics program with assistance of Vincenzo Di Bacco (MSc).
Dr. Verniba assessed how accurately the ForaHealthyMe Inc., motion capture system measures joint angles during human movement, and how reliably the ForaHealthyMe Inc., system is able to measure joint angles across multiple sessions.
He concluded, "the ForaHealthyMe Inc., motion capture system showed good to excellent reliability. The system IS consistent, almost as consistent as the gold standard system as well as clinical goniometry."
"Furthermore," states Dr. Verniba, "unlike goniometry, the ForaHealthyMe Inc., system does not require specialized training and experience, equipment calibration, or participant preparation. Thus, the ForaHealthyMe Inc., system may be a viable alternative to the currently used clinical tools."
In a clinical setting, the ForaHealthyMe Inc., solution connects patients with their care team, rehabilitation specialists and health coaches. Known as virtual rehabilitation or tele-rehabilitation, software and analytics engine enable a provider to engage, assess, create customized care plans and use data to drive decision making.
The study was funded in part under the Health Ecosphere Innovation Pipeline program.
The company would like to acknowledge the support of Southlake Regional Health Center, the Faculty of Health at York University and Microsoft.
Microsoft's engineers in the Azure Application Consult team provided technical support, guidance and trouble shooting. The collaboration and support ranged from technical development, image reconstruction protocols and the best use of Azure tools to achieve consistent performance and scalability.
A scientific paper is now available.
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