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Move Well.  Move Right.

Product FAQ

Why is understanding Load Capacity Important?
How is this different from an Athlete Management System (AMS)?
I have heard so much about GPS for accurately measuring athletes and movement.  Is that not a helpful system?
How does BaselineAPS keep my information safe and secure?
Why isn’t this available directly to consumers

Athlete FAQ

How is understanding my movement efficiency or my load capacity going to help me be a better athlete?
I already spend hours doing strength work in the gym and hours at practice; isn’t that enough?

Coach/Trainer FAQ

As a S &C or fitness professional, does BaselineAPS replace what I’m already doing with our athletes?
I hear you have a PT lab in the Bay Area- how can I find out more about that?
Do I need any special training or education to use BaselineAPS

Interested in improving athlete wellness and performance?
We currently work with multiple high performance cultures on the professional and college level.
Science driven and evidence based, BaselineAPS has fostered confidence through substantiated results.
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Our patent-pending method was developed over several years, and informed by many sources, including these below:

J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
H. Katagiri et. al. (2023) Epidemiology of MRI-detected muscle injury in athletes participating in the Tokyo 2020 Olympic Games. BJSM.
M. Walden et. al. (2016) ACL injuries in men’s professional football: a 15 year prospective study on time trends and return-to-play rates. BJSM.
DA. Padua et. al. (2018) National Athletic Trainers’ Association Position Statement: Prevention of Anterior Cruciate Ligament Injury. J. Athl. Training.
J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
J. Elkstrand, Armin Spreco, Hakan Bengtsson, Ronald Bahr (2021) Injury rates in men’s progessional football: an 18 year prospective cohort study of almost 12000 injuries sustained during 1.8 million hours of play. BJSM.
  • 1. J. Diekfuss et. al. (2020) Targeted Application of Motor Learning Theory to Leverage Youth Neuroplastic for Enhanced Injury-Resistance and Exercise Performance: OPTIMAL PREP. J.of Sport and Exerc.
  • 2. M. Latash et. al (2015) Biomechanics and Motor Control: Defining Central Concepts. Elsevier.
  • 3. T. Hewett (2013) Impact Differences in Ground Reaction Force and Center of Mass Between and First and Second Landing Phases of a Drop Vertical Jump and their Implications for Injury Risk Assessment. J. Biomech.
  • 4. J. Whittaker (2017) Predicting Sport and Occupational Lower Extremity Injury Risk through Movement Quality Screening: A Systematic Review. BJSM.
  • 5. D. Marshall (2016) Economic impact study: neuromuscular training reduces the burden of injuries and costs compared to standard warm-up in youth socce.r BJSM.
  • 6. C. Powers (2016) The Influence of In-Season Injury Prevention Training on Lower-Extremity Kinematics during Landing in Female Soccer Players. Clin J. Sport Med.
  • 7. C.A. Emery (2016) The effectiveness of a neuromuscular prevention strategy to reduce injuries in youth soccer: a cluster-randomized trial. BJSM.
  • 8. T. Soligard (2008) Comprehensive warm-up program to prevent injuries in young female footballers: cluster randomized controlled trial. BJSM.
  • 9. A. Rahlf (2020) Comparison of 10 vs. 20 min neuromuscular training for the prevention of lower extremity injuries in male youth football: A cluster randomized trail. BJSM.
  • 10. L.Torres-Ronda (2022) Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis. Sports Medicine.
  • 11. V. Rago (2020) Methods to collect and interpret external training load using microtechnology incorporating GPS in professional football: a systematic review. Resch.in Sport Med.
  • 12. T Hewett (2011) Real-time assessment and neuromuscular training feedback technique to prevent ACL injury in female athletes. Strength Cond J.
  • 13. G. Fried (2016) Sports Analytics: A data-driven approach to sports business and management. Routledge.
  • 14. R. Schmidt and C. Winstein (1990) Reduced Frequency of Knowledge of Results Enhances Motor Skill Learning. J. Exp. Psych.
  • 15. N. Donunskaia (2010) Control of Human Limb Movements: The Leading Joint Hypothesis and Its Practical Applications. Exerc Sport Sci Rev.
  • 16. T. Hewett (2007) Differential neuromuscular training effects on ACL injury risk factors in “high-risk” versus “low-risk” athletes. BMC Musc.skel. Disorders.
  • 17. M. Bruton (2018) Synergies in coordination: a comprehensive overview of neural, computational, and behavioral approaches. J. Neurophysiol.
  • 18. G. Haff et. al. (2015) Essentials of strength training and conditioning 4th edit. Human Kinetics
  1. 19. A Kulas et. al. (2012) Trunk position modulates anterior cruciate ligament forces and strains during a single leg squat. Clin. Biomech.
  2. 20. J.Lundbye-Jensen (2007) Central nervous adaptations following 1 wk of wrist and hand immobilization. J.Appl Physiol.
  3. 21. R. Schmidt (2014) Motor learning and performance: From principles to application (5th). Human Kinetics
  4. 22. T. Nessler (2020) Using Movement Assessment to Improve Performance and Reduce Injury Risk. Inj. Perf. and Enhanc.
  5. 23. J. Diekfuss (2020) Practical Train Strategies to Apply Neuro-Mechanistic Motor Learning Principles to Facilitate Adaptations Towards Injury-Resistant Movement in Youth. J. of Sci. in Sport and Exercise.
  6. 24. B. Baumer (2023) Big Ideas in Sports Analytics and Statistical Tools for There Investigation. Wires Comput. Stats.
  7. 25. M. Hagglund et. al. (2013) Injuries affect team performance negatively in professional football: an 11-year follow-up of the UEFA Champions League injury study. BJSM
  8. 26. L. Snyder-Mackler et. al. (2018) Exercise-Based Knee and Anterior Cruciate Ligament Injury Prevention. J. Orthop. Sports Phys Ther.
  9. 27. H. Grindem et. al. (2016) Simple Decision Rules Reduce ReInjury Risk After Anterior Cruciate Ligament Reconstruction: The Delaware-Oslo ACL Cohort Study. BJSM.
  10. 28. C. Collins et. al. (2021) Methods of the National Collegiate Athletic Association Injury Surveillance Program, 2014-2015- 2018-2019. J. Athl. Training.
  11. 29. C. Powers et. al. (2022) Activation training facilitates gluteus maximus recruitment during weight bearing strengthening exercises. J. of Electomy and Kinesiology
  12. 30. D.K Singh (2021) Strength of Materials 4th Edition. Springer.
  13. 31. M. Altinkok (2016) The effects of coordination and movement education on pre school children basic motor skills improvement. J Edu. Research.
  14. 32. M. Mondello (2014) The Introduction and Application of Sports Analytics in Professional Sports Organization. J. App. Sport Mgt.
  15. 33. L. Torres-Ronda ( Tracking Systems in Team Sports: Back to Basics. Sport Med-Open.
  16. 34. R. Straub, F. Della Villa, et. al. (2021) Confidence to Return to Play After ACL Reconstruction: An Evaluation of Quadriceps Strength Symmetry and Injury Mechanism in Male Athletes. Amer. Ortho. Soc. For Sport Med.
  17. 35. E. Ceseracclu (2014) Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait. Proof of concept. PLoS One
  18. 36. L Wade (2022) Applications and limitations of current markerless motion capture methods for clinical gait biomechanics. PeerJ.
  19. 37. R Muller (2015) Low back pain affects trunk as well as lower limb movements during walking and running. J. of Biomech.
  20. 38. M. Cardinale (2011) Strength and Conditioning Principles and Practical Applications. Wiley Publishing
  • 39. C. Powers et. al. (2015) Hip Muscle Strength Predicts Noncontact ACL injury in Males and Female Athletes: A Prospective Study. Am J. Sports Med.
  • 40. T. Heweett (2017) A Paradigm Shift with a Translational Approach to Biomechanics. Am. J. Sports Med.
  • 41. T. Hewett et. al (2014) Do Exercise used in injury prevention programs modify cutting tasks biomechanics? A systemic review with meta-analysis. BJSM.
  • 42. L. Griffin (2007) Transcranial magnetic stimulation during resistance training of the tibialis anterior muscle. J. of Electomy. and Kinesiology.
  • 43. B. Fisher et. al. (2016) Evidence of altered corticomotor excitability following targeted activation of gluteus maximus training in healthy individuals. Neuro Report.
  • 44. V. Profeta (2018) Bernstein’s Levels of Movement Construction: A Contemporary Perspective. Human Mvt. Sci. Elsevier.
  • 45. A. Barnett (2019) Understanding Motor Behavior in Development Coordination Disorder. Routledge.
  • 46. J. Lundbye-Jensen (2005) Motor skill training and strength training are associated with different plastic changes in the central nervous system. J. Appl. Physiol.
  • 47. M. Geraci (2005) Evidence-based treatment of hip and pelvic injuries in runners. Phys.Med.Rehab.Clin N. Am.
  • 48. S. McGill (1996) Mechanical stability of the in vivo lumbar spine: Implications for injury and chronic low back pain. Clin. BIomech.
  • 49. C. Powers (2010) The influence of abnormal hip mechanics on knee injury: A biomechanical perspective. JoSPT.
  • 50. A. Marich et. al. (2017) Consistency of a lumbar movement pattern across functional activities in people with low back pain. Clin. Biomech.
  • 51. D.C. Kerrigan (2009) The effects of running shoes on lower extremity joint torques. Am. Acad. Of Phys. Med. and Rehab.
  • 52. R. Bahr et. al. (2005) Understanding injury mechanisms: a key component of preventing injuries in sport. BJSM.
  • 53. T. Novacheck et. al (1998) The biomechanics of running. Gait and Posture Elsevier.
  • 54. S. Colyer et.al. A Review of the evolution of vision-based motion analysis and the integration of advanced computer vision methods towards developing a markerless system. Sports Med. – Open..
  • 55. W. Lam (2023) A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation. J. Neuro Eng. And Rehab.
  • 56. K. Kulig (2021) Individuals with recurrent low back pain exhibit further altered frontal plane trunk control in remission than when in pain. Clin. Biomech.
  • 41. T. Hewett et. al (2014) Do Exercise used in injury prevention programs modify cutting tasks biomechanics? A systemic review with meta-analysis. BJSM.
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