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John Ralston (X2 Biosystems) How Wearables are Helping to Monitor Head Impact Risks in Sports

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John Ralston (X2 Biosystems) How Wearables are Helping to Monitor Head Impact Risks in Sports

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The ability to directly monitor head impact biomechanics using wearable sensors has fundamentally changed our understanding of the corresponding risks in a wide range of sports. One key finding is that significant tissue damage and changes in neural connectivity may result even in the absence of clinically diagnosed concussion symptoms. We will discuss our recent advances in evolving wearable sensors into advanced neuro-trauma dosimeters, suitable for monitoring cumulative damage due to repetitive head impacts and developing remove-from-play thresholds. These efforts combine measured head impact biomechanics, finite element modeling of the corresponding forces generated in the brain, and high resolution MRI imaging of the resulting changes in neural connectivity. We will also discuss related applications of wearable head impact sensors in the development of new concussion diagnostics such as blood biomarkers and eye tracking.

Augmented World Expo (AWE) is back for its seventh year in our largest conference and expo featuring technologies giving us superpowers: augmented reality (AR), virtual reality (VR) and wearable tech. Join over 4,000 attendees from all over the world including a mix of CEOs, CTOs, designers, developers, creative agencies, futurists, analysts, investors, and top press in a fantastic opportunity to learn, inspire, partner, and experience first hand the most exciting industry of our times. See more at http://AugmentedWorldExpo.com

The ability to directly monitor head impact biomechanics using wearable sensors has fundamentally changed our understanding of the corresponding risks in a wide range of sports. One key finding is that significant tissue damage and changes in neural connectivity may result even in the absence of clinically diagnosed concussion symptoms. We will discuss our recent advances in evolving wearable sensors into advanced neuro-trauma dosimeters, suitable for monitoring cumulative damage due to repetitive head impacts and developing remove-from-play thresholds. These efforts combine measured head impact biomechanics, finite element modeling of the corresponding forces generated in the brain, and high resolution MRI imaging of the resulting changes in neural connectivity. We will also discuss related applications of wearable head impact sensors in the development of new concussion diagnostics such as blood biomarkers and eye tracking.

Augmented World Expo (AWE) is back for its seventh year in our largest conference and expo featuring technologies giving us superpowers: augmented reality (AR), virtual reality (VR) and wearable tech. Join over 4,000 attendees from all over the world including a mix of CEOs, CTOs, designers, developers, creative agencies, futurists, analysts, investors, and top press in a fantastic opportunity to learn, inspire, partner, and experience first hand the most exciting industry of our times. See more at http://AugmentedWorldExpo.com

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John Ralston (X2 Biosystems) How Wearables are Helping to Monitor Head Impact Risks in Sports

  1. 1. 1 How Wearables are Helping to Monitor and Manage Head Impact Risks in Sports John Ralston, Jason Thibado, Jonathan Woodard, X2 Biosystems, Redwood City, CA Scott Grafton, Matthew Cieslak, Alex Asturias, Department of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA
  2. 2. Acknowledgements Customers Development Partners School of Kinesiology 2
  3. 3.  Wide range of impairments that can arise from repetitive head impacts now recognized as an enormous public health challenge. Motivation 3  Since 2010, X2 Biosystems has been developing wearable sensors to monitor, assess, and react in real-time to reduce the incidence, risks, and costs of injuries resulting from repetitive head impacts.  Much attention directed specifically at the issue of concussion injuries • Growing volume of evidence is revealing that significant brain injuries may result even in the absence of clinically diagnosed concussion symptoms
  4. 4. X2 Pioneered Wearable Head Impact Monitors Deployed today in wide range of athletic & military environments • Football (youth, high school, collegiate, pro) • Hockey • Soccer • Lacrosse • Rugby (amateur and professional) • Australian Rules Football • Baseball • Field Hockey • Wrestling • Boxing • Taekwondo • Mixed Martial Arts • Skiing • BMX Cycling • US Army Soldiers, Military Police, and Paratroopers • US DoD Special Forces 4
  5. 5. The Importance of Coupling Sensors to the Head Accurate head impact dynamics? 5
  6. 6. Actionable Data: Behavioral Modification, Risk Reduction 6 X-Patch: Track head impacts • for each player • as a function of position / activity • during individual practices / games • over extended periods of time Exceeds thresholds? • Single impact • Accumulated loadN • Remove from play • Player coaching • Activity modification • Equipment modification • Rules changes Y X-Patch helps identify, reduce, eliminate high-risk head impacts Players Screened >70G 40-70G 10-40G Front Right Side Top Back Left Side Bottom
  7. 7. X-Patch Helps Reduce High-Risk Head Impacts 30% - 70% 7 1. “Early Results of a Helmetless-Tackling Intervention to Decrease Head Impacts in Football Players”, Swartz et al, J. Athletic Training, Jan 2016 2. “A Biosensing Approach for Detecting and Managing Head Injuries in American Football”, Morrison et al., J. Biosensors & Bioelectronics, Nov 2015 3. “Practice Type Effects on Head Impact in Collegiate Football”, Reynolds et al., J. Neurosurgery, Aug 2015 4. “DATALYS Center / USA Football Study: Effectiveness of HEADS UP FOOTBALL® Program”, Dompier et al, February 2015 http://usafootball.com/sites/default/files/datalys_center_study_methods.pdf
  8. 8. What We Have Learned • Impact dynamics are complex, no 2 impacts are the same, tissue damage can be widely distributed • Important to track indirect impacts and accumulated “smaller” impacts, as well as single “big” impacts • Large data sets are key - data analytics and machine learning can enhance impact classification • With sensors coupled to head, measured impact dynamics can provide strong predictors of concussion 8
  9. 9. Large Impact Data Sets Enhance Impact Classification Real Head Impact Spurious Sensor Impact Loosely Attached SensorSensor with Offset Error Running Leveraging X2’s database of over 5.5 million head impact records to develop advanced data analytics and machine learning algorithms for automated real-time head impact and injury risk classification. 9
  10. 10. Key Components of Proposed Neuro-Trauma Dosimeter 10 • Finite element simulations to model compressive, tensile, and rotational shear stress utilizing measured impact data, predict time-evolving tissue injury and changes in structural brain connectivity Combining the Finite Element Method with Structural Connectome-based Analysis for Modeling Neurotrauma: Connectome Neurotrauma Mechanics Reuben H. Kraft1, Phillip Justin Mckee2, Amy M. Dagro1, Scott T. Grafton3 1 Soldier Protection Sciences Branch, Protection Division, U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland 2 Dynamic Science, Inc., Aberdeen Proving Ground, Maryland 3 Department of Psychology, University of California, Santa Barbara, Santa Barbara, California • Head-mounted sensors to measure & record impact biomechanics (linear and rotational motion) • High-resolution brain imaging (MRI/DSI) to correlate predicted damage, evolution of observed symptoms (cognitive, motor, sensory, emotional, behavioral)
  11. 11. Impact Sensor Data Used as Input to Finite Element Brain Models 11 “Beta-amyloid deposition in CTE” T.D. Stein et al, Acta Neuropathol (2015) possible explanation for spatially localized damage “Biomechanics of Traumatic Brain Injury: Influences of the Morphologic Heterogeneities of the Cerebral Cortex” R.J.H. Cloots et al, Annals of Biomed Eng (2008) Homogeneous Model Heterogeneous Geometry Spatially localized stress enhancement (predicted) “Six degree of freedom (6DOF) measurements of human mTBI” F. Hernandez et al, Annals of Biomedical Eng (2015) Impact Biomechanics Finite Element Models to Simulate Stresses in Brain, Potential Tissue Damage Location and Severity Strong predictors of concussion injury risk have physical basis in torque, power, and deformation: • Total impact power transferred to the brain • Peak rotational acceleration magnitude during impact • Peak principal strain in corpus callosum
  12. 12. Correlation with Hi-Resolution Brain Imaging (MDA DSI) 12 Multi-dimensional anisotropy DSI reveals spatially localized diffusion changes after single soccer season. Distribution in frontal / occipital cortex consistent with damage from frontal headers. Bottom First in-vivo observations of localized damage at cortical sulci, consistent with localized stress enhancement at these structures.High resolution MRI/DSI baseline image
  13. 13. Damage Severity Scales with Cumulative Impact Load 13 Bottom Top AbnormalVoxelsinScan Cumulative Head Impact Power (kW) Soccer Header (~ 20G, 1 kW) Football Drill (~ 40G, 2-3kW) Abnormal Voxels vs. Cumulative HIP (Linear + Rotational) 0 50 100 150 200
  14. 14. Damage Threshold vs. Concussion Threshold 14 Bottom Top AbnormalVoxelsinScan Cumulative Head Impact Power (kW) Abnormal Voxels vs. Cumulative HIP (Linear + Rotational) Probability of Concussion vs. HIP (Linear + Rotational) 0 50 100 150 200 ProbabilityofConcussion Head Impact Power (kW) A Proposed New Biomechanical Head Injury Assessment Function – Head Impact Power Stapp Car Crash Journal, Vol. 44 (P-362), Proceedings of 44th Stapp Car Crash Conference, Atlanta, GA, Nov 6-8, 2000. Concussion Brain Injury
  15. 15. Impact Biomechanics and Concussion Diagnostics 15 Zetterberg, H. et al., Biomarkers of mild traumatic brain injury in cerebrospinal fluid and blood, Nat. Rev. Neurol. 2013 Giza, Christopher C.; Hovda, David A. The New Neurometabolic Cascade of Concussion Neurosurgery. 75():S24-S33, October 2014. X-Patch measurements of real-time impact biomechanics can help assess effectiveness of new head injury diagnostics such as biomarkers detected in saliva, perspiration, blood, urine. Concussion Injury Pathophysiology Biomarkers of mTBI Impact Biomechanics
  16. 16.  Cumulative head trauma measured with X-Patch shown to correlate with brain damage predicted by finite element simulations and observed via brain imaging Conclusions 16  Significant progress being made developing and combining the components of a proposed neuro-trauma “dosimeter” • “X-Patch” head-mounted impact sensors • finite element simulations • high-resolution MRI/DSI  Promising approach to monitoring cumulative damage due to repetitive sub-concussive head impacts, and developing comprehensive personalized remove-from-play thresholds.
  17. 17. New X-Patch Pro Sensor + Impact Data Management System • Measure motion of head with accuracy, sensitivity, and reproducibility to enable analyses of complex impact dynamics and injury risks • Simple Band-Aid-like X-Patch application via medical-grade adhesive • Record / analyze single impacts and multiple accumulated impacts • Compatible with any athletic, military, or industrial environment • High-volume low-cost manufacturing 17 2016 Launch
  18. 18. 18 Thank You! John Ralston, PhD Chairman & CEO john.ralston@x2bio.com 650.215.8418 www.x2bio.com Silicon Valley Office: X2 Biosystems, Inc. 2686 Middlefield Rd., Suite D Redwood City, CA 94063 Seattle Office: X2 Biosystems, Inc. 1927 Post Alley, Suite 200 Seattle, WA 98101

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