76. Sparta Science - Using Movement Intelligence to Optimize Performance | Dr. Phil Wagner episode artwork

EPISODE · Jul 11, 2023 · 53 MIN

76. Sparta Science - Using Movement Intelligence to Optimize Performance | Dr. Phil Wagner

from The Code: A Guide to Health and Human Performance · host Dr. Andrew Fix

Key Takeaways: • While AI should not be used to completely replace a physical therapist, it can be used as a means of gathering data to determine the best treatment plan • Wearables and other data collection tools are now at the point where the data can be used to assess and reassess treatment plans • The testing can be completed very quickly and works similarly to a blood test, in that it is the same test for everyone but the therapist will be focusing on different biomarkers for each patient   If you have any wearables like the Aura Ring or a FitBit, you likely have gathered a whole lot of data about your health and daily movement. However, if you do not know how to actually implement this data into your lifestyle, then it is likely not doing a whole lot for you. The good news is that thanks to machine learning, AI is now at the point where this data can be pooled together and used to create movement assessments and treatment plans. In this episode, learn more about movement intelligence and how it can help you optimize your performance from Dr. Phil Wagner, CEO and founder of Sparta Science.    Continual reassessment is a large and time consuming component of physical therapy. With movement intelligence, this reassessment can be completed much more quickly and easily. Using data from force plates in tandem with data from apps and wearables, the AI is able to learn a lot about a patient in a very short amount of time and make suggestions for treatment based on its human data platform. Much like a blood test, the movement testing is the same for each patient, with the physical therapist focusing on different biomarkers depending on the patient’s specific issues. As all of those data points continue to accumulate, this provides an opportunity for more individualized results.    The human data platform is a win-win for patients and physical therapists because it provides the therapist an opportunity to leverage insights from thousands of data points while still allowing them autonomy over their patient’s treatment. If you’re looking for a streamlined way to combine performance improvement and injury prevention, movement intelligence is the way to go.   Quotes • “Reassessment is a very key and core principle of PT.” (9:59-10:03 | Dr. Wagner) • “Now we're to the place where machine learning is able to establish a data platform.” (12:01-12:07 | Dr. Wagner)  • “You have to be aware that the higher level performance does bear with it a higher risk for injury, you can't escape that.” (18:58-19:05 | Dr. Wagner) • “The beauty about this is it's a win-win, in that they have autonomy to do what they think is best, but they can also get to leverage those insights from everybody else.” (25:07-25:19 | Dr. Wagner) • “Assessments should be more like a blood test. They don't need to be long or varied. They need to be deep.” (47:44-47:51 | Dr. Wagner)   Links Flux Footwear Coupon Code: drandrewfix 10% off   Xero Shoes: 10% off https://xeroshoes.com/go/drandrewfix   drinklmnt.com/physioroom - free variety pack with purchase.   RAD Roller - $5 off http://radroller.refr.cc/drandrewfix   Revogreen https://revogreen.co/drandrewfix   Connect with Dr. Phil Wagner: Website | http://spartascience.com/ Instagram | https://www.instagram.com/spartascience/ Linktree |  https://linktr.ee/spartascience Connect with Physio Room:  Website | ​​https://physioroomco.com/  Instagram | https://www.instagram.com/physioroomco/ Facebook | https://www.facebook.com/physioroomco Andrew’s Personal Instagram | https://www.instagram.com/drandrewfix/ Andrew’s Personal Facebook | https://www.facebook.com/andrew.fix.9/   Podcast production and show notes provided by HiveCast.fm

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76. Sparta Science - Using Movement Intelligence to Optimize Performance | Dr. Phil Wagner

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