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::::::::: DETECT™  ::::
Rapid system for detection and monitoring of cognitive impairment


::::::::: Pain  ::::
Repeat or underdiagnosed concussion is emerging as a significant sports medicine problem, that if not recognized may lead to prolonged cognitive and emotional impairment later in life as seen in today’s headlines. Detecting mild traumatic brain injury (mTBI) early and making return to play and treatment assessment on the field or immediately after a game can be key to reducing these problems, especially in younger players.

Alzheimer’s disease is a progressive disease that is increasing in prevalence with the aging population. There is no cure. New drugs however have proven effective in delaying onset of symptoms. Effective therapy depends on early assessment and diagnosis. Current methods rely on lengthy, labor intensive, neuropsychological tests that require unique knowledge and skill for interpretation. As a result, therapy is not instituted when it is most effective in many patients.


::::::::: Solution  ::::
Through its ease-of-use, rapid testing protocol and immersive test environment, DETECT™ enables early assessment of cognitive decline and initiation of therapy if warranted in the use for early Alzheimer’s disease detection. For sports mTBI usage DETECT™ can be useful to coaches and trainers for return to play vs. treatment decisions. The system is an integrated hardware/software solution that can be administered by non-skilled personnel in environments normally not suitable for cognitive testing. Results are compared to previous test results and to a national database. When cognitive issues are detected, patients may be referred for specialist follow-up. DETECT™ can be used in the rehabilitation and home settings, as well, alone or in conjunction with other cognitive assessment and therapy tools.


::::::::: Technology  ::::
The DETECT™ system comprises both hardware and software components to create an immersive environment and administer a series of abbreviated neuropsychological tests. Hardware consists of a unique dedicated mobile computer, and an integrated headset consisting of a heads-up display, earmuffs and adjustable visor, and an input device. Three software modules complete the system: testing modules, a database for archiving and retrieval of test results and a central server for uploading test results and downloading the latest population norms.


::::::::: Alternatives  ::::
Manual and computer-based cognitive scoring systems exist that, for lack of better alternatives are used but are expensive to administer and time consuming. None of the competitive systems have the potential for standardization that results from the DETECT™ immersive environment. Standardization permits comparison of same-individual test results across time periods as well as comparison of test results to a match database. Nor do any potential competitors create an environment that is feasible for conducting sideline assessment.


::::::::: Device Development & Clinical Studies  ::::
Benefiting from 5 years of grant funding, technical feasibility of the system has been demonstrated. Several prototypes have been developed and tested. Final design changes are being implemented. Initial clinical feasibility in patients with mild cognitive impairment has been demonstrated. Three clinical studies have been completed. The first was the validation of the immersive environment created by the system. Testing scores were not affected in a simulated noisy environment. The second study tested the feasibility of sideline assessment of concussion in college football and provided preliminary data on the detection of concussion. Pre-season baseline (87 baselines) testing and post injury (5 concussions) was feasible. Pilot data shows impaired reaction time in concussed players. The third pilot study (40 patients) demonstrated that the device could differentiate between patients with MCI and normal controls. The fourth study included over 400 patient 65 and older. This study demonstrated that the device could be used for MCI screening in a population of geriatric patients and can detect MCI almost as well as the lengthy standardized testing.


::::::::: Clinical Integration  ::::
For screening of MCI and early Alzheimer’s disease, the device will be provided to general practice clinics for annual screening of cognitive impairment of patients 50 years and older. The purpose of beginning testing at 50 years of age is to obtain normative baselines. Although baseline testing is not required to detect abnormalities, it will be more sensitive and allow physicians and patients to track their cognitive health. An abnormal cognitive decline would constitute the onset of MCI. For TBI screening and sidelines assessment of concussion, the device can be used by schools, school systems and other sports organizations. Preseason/pre-sport norms can be obtained and used to compare to post injury, creating and internal control and norm. The device will provide the team coaches and trainers with an objective measurement of concussion induced cognitive dysfunction.








Summary

  • First immersive neuropsychology technology to market
  • Georgia Tech patent filed
  • Ease of Use
    • More Objective - no administrator
    • Auto scoring
    • Auto comparison - to normative database and personal history
  • High Margin for providers
  • Network Centric
    • Data gathering
    • Software updates

Hardware

  • Noise and light attenuation
  • Portable
  • Durable
  • Easy to use
Software
  • 7 minutes
  • Measures response time, processing speed, working memory, other cognitive scales
  • Data is displayed and stored in a central database



Clinical Validation

  • DETECT™ system shown to be immersive J. Med. Eng. & Tech. (2007) 31(3):161

  • Feasible to perform on sideline/ locker room during athletic competition

  • Performs as well as, if not better, than traditional neuropsychological testing in cognitively impaired patients

Proprietary – Zenda Technologies
Contacts:
lcatchpole@zendatech.com (CEO)
mgilstrap@zendatech.com (COO)

Scientific co-founders:
michelle.laplaca@bme.gatech.edu
david.wright@emory.edu





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