25 year veteran of telecoms industry in corporate, start-up and academic environments. Loves AI, IoT & computer vision. Ph.D in computer science.
Former Philips Healthcare Executive. 30 years experinence in business development, financial management and operations.
Consultant Geriatrician at Tallaght University Hospital. Sean provides the clinical direction for GaitKeeper team.
Former Acute hospital CEO. 30 years experience in healthcare policy, stragegy and development and management of mega-scale projects
Leading physiotherapist in public health system. Research interests in frailty and geriatric medicine.
One touch setup for commong test setups.
Augmented Reality provides virtual walkways
Each test setup is guided using visual and auditory feedback
Secure user and transaction level authenicaation and encryption
No local storage of patient data.
1080HD at 60 frames per second
Once a gait test layout is selected in the step 1, the user simply hits the record button. GaitKeeper records video from when the test starting condition is met until the test ending condition is met. Alternatively the user can stop recording at any time.
GaitKeeper start recording once the record button is pressed. Recoding stops either when the patient cross the end line of the test or the user presses stop button.
Visual and Audio feedback is given to ensure can is stable, and video recording is proceeeding.
Once recording is complete, swipe left to review video or swipe right to send to the GaitKeeper system to generate results.
Gaitkeeper collects positional data from a range of upper, lower body and limbs.
GaitKeeper computes a range of summary measurements like speed, step events
GaitKeeper has been verified using both 3D motion capture and pressure mat systems
Records events for start and end of tests, foot pose positions.
For easy analysis, GaitKeeper overlays event and parameters data on original video
Each gait test can be compared with previous results.
GaitKeeper automatically creates position data for 20 body locations (i.e. shoulders, knees and ankle) for every frame of video. Using this data, GaitKeeper applies its patented algorithms to compute a wide variery of motion and gait parameters.