Rapid Ocular Sideline Concussion Diagnostics Project Proposal
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Concussions are a major concern in modern sports
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Goal: provide tools to trainers that helps them:
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Automate existing diagnostic processes
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Expedite existing tests to more quickly treat multiple players
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If testing can be done quicker and more accurately, more
players can be returned to the game faster
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Our focus:
ocular nerve testing
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Given a suspected concussion, provide a test by an automated
eyeset that would normally require a trainer/doctor
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Concussion detection products that exist today:
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Reebok Checklight
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Skullcap w/embedded accelerometer
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Brain Sentry
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Adhesive helmet-mounted accelerometer
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X2 Patch
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Skin patch-mounted accelerometer
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Schutt Sports Shockometer
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Another accelerometer-based adhesive impact indicator
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All of these products can use accelerometers to detect a big hit, but...
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Based upon preliminary discussion with trainers, system should:
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Be used when a concussion is suspected
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Requires either (i) trainer intervention, or (ii) integration with
accelerometer tech
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Be capable of tests requiring depth movement
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Detect asymmetric responses across eyes
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Provide a simulated “trainer-with-a-pen-light”
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Provide ease-of-use
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Integrated iPad/Android app for sideline tablet use
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Stretch goal: provide integration with general body sensors
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Not necessarily concussion related
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Generally: provide near-real-time results on sideline
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Specifics TBD based on trainer feedback
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3 main components
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An easy-to-use, adaptive app that can be used with pre-existing hardware (Apple or
Android tablets)
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RFID/WiFi communications capability from eyeset to basestation to tablet
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An impact detector [accelerometer] embedded into a mouthguard, to provide an initial
indication of a concussion
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Implies integration with an existing product - can be substituted with traditional trainer
or NFL-like “eye in the sky”
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Administers testing on a player’s eyes after a concussion-level impact
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Can replace or supplement sideline “flashlight in eyes” style of possible concussion
diagnosis
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Consists of combination of small camera, bright LED/LCD display, and CV software
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Thresholded hit detected on field via
accelerometer sensor/observer
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Existing tech can be integrated
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Training staff alerted via tablet
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Training staff inspects player on sidelines
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Player provided with glasses
b.
Ocular test initiated via tablet
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Results reported back to tablet
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Comparison made relative to player
baseline
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Trainer uses result to aid decision-
making
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Future goal: integrate as part of a tracking
platform
a.
e.g., real-time, ruggedized EKG vest
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Risk:
Biometric sensors may not be ergonomic
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Mitigation:
Look at existing mouthguards, patches, visors, or glasses in
order to emulate those styles with which players are already comfortable
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Risk:
May be difficult to link CV sensor readout to a probabilistic diagnosis
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Mitigation:
Most sensors used should be sufficiently sensitive to allow
accurate calibration; training data may be required
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Risk:
Battery problems
o
Mitigation:
Hardware used should minimize current draw; light-weight,
efficient battery cells are ideal (with minimal risk for health hazards,
especially if put into a mouthguard or directly against skin)
Proposed project aims to provide tools for trainers in sports to automate and expedite concussion testing using ocular nerve testing. The focus is on developing an automated eyeset to quickly assess players on the sideline, potentially returning them to the game faster. The project also aims to integrate with existing technologies in the market while meeting the tentative requirements discussed with trainers. Technical specifications include tablet interface, RFID/WiFi communication, embedded accelerometer, and ocular testing device.
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Presentation Transcript
18-549 Project Proposal: 2/5/14 Rapid Ocular Sideline Concussion Diagnostics Team 8 Brandon Lee--Andrew Pfeifer--Thomas Phillips--Ryan Quinn
Concept & Motivation Concussions are a major concern in modern sports Goal: provide tools to trainers that helps them: Automate existing diagnostic processes Expedite existing tests to more quickly treat multiple players If testing can be done quicker and more accurately, more players can be returned to the game faster Our focus: ocular nerve testing Given a suspected concussion, provide a test by an automated eyeset that would normally require a trainer/doctor Side note: we hope to enter our final design idea in the NFL-GE Head-Health Challenge
Market Competition Concussion detection products that exist today: Reebok Checklight Skullcap w/embedded accelerometer Brain Sentry Adhesive helmet-mounted accelerometer X2 Patch Skin patch-mounted accelerometer Schutt Sports Shockometer Another accelerometer-based adhesive impact indicator All of these products can use accelerometers to detect a big hit, but...
Tentative Requirements Based upon preliminary discussion with trainers, system should: Be used when a concussion is suspected Requires either (i) trainer intervention, or (ii) integration with accelerometer tech Track retinal responses to a moving light Be capable of tests requiring depth movement Detect asymmetric responses across eyes Provide a simulated trainer-with-a-pen-light Provide ease-of-use Integrated iPad/Android app for sideline tablet use Stretch goal: provide integration with general body sensors Not necessarily concussion related Generally: provide near-real-time results on sideline Specifics TBD based on trainer feedback
Technical Specs. 3 main components Tablet interface for training staff An easy-to-use, adaptive app that can be used with pre-existing hardware (Apple or Android tablets) RFID/WiFi communications capability from eyeset to basestation to tablet Embedded accelerometer on player An impact detector [accelerometer] embedded into a mouthguard, to provide an initial indication of a concussion Implies integration with an existing product - can be substituted with traditional trainer or NFL-like eye in the sky Ocular testing device Administers testing on a player s eyes after a concussion-level impact Can replace or supplement sideline flashlight in eyes style of possible concussion diagnosis Consists of combination of small camera, bright LED/LCD display, and CV software
Simplified Architecture 1. Thresholded hit detected on field via accelerometer sensor/observer a. Existing tech can be integrated b. Training staff alerted via tablet 1. Training staff inspects player on sidelines a. Player provided with glasses b. Ocular test initiated via tablet 1. Results reported back to tablet a. Comparison made relative to player baseline b. Trainer uses result to aid decision- making 1. Future goal: integrate as part of a tracking platform a. e.g., real-time, ruggedized EKG vest
Anticipated Risks Risk: Biometric sensors may not be ergonomic o Mitigation: Look at existing mouthguards, patches, visors, or glasses in order to emulate those styles with which players are already comfortable Risk: May be difficult to link CV sensor readout to a probabilistic diagnosis o Mitigation: Most sensors used should be sufficiently sensitive to allow accurate calibration; training data may be required Risk: Battery problems o Mitigation: Hardware used should minimize current draw; light-weight, efficient battery cells are ideal (with minimal risk for health hazards, especially if put into a mouthguard or directly against skin)
