{"id":760,"date":"2021-11-15T21:06:36","date_gmt":"2021-11-15T21:06:36","guid":{"rendered":"https:\/\/tpf.ncy.mybluehost.me\/?page_id=760"},"modified":"2021-12-11T18:41:16","modified_gmt":"2021-12-11T23:41:16","slug":"science","status":"publish","type":"page","link":"https:\/\/strive.tech\/staging\/5237\/science\/","title":{"rendered":"Science"},"content":{"rendered":"\t\t
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SCIENCE<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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STRIVE provides the most complete, accurate and actionable muscle data in human performance inside a platform that provides powerful insights to elite athletes and coaches, soldiers, industrial workers, and patients.<\/p>

The Strive Platform has been validated to the highest medical grade standards by university-backed, peer-reviewed research.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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WHITE PAPERS & CASE STUDIES<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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If you’re looking to dive deeper into the STRIVE Platform, review the literature below illustrating various use cases and research.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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NCAA WOMEN\u2019S BASKETBALL TEAM TRACKS SPRINTS USING STRIVE TECH<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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PURPOSE
<\/b>Understanding game workloads allow coaches better insight into the demands of Women\u2019s Basketball at the NCAA D1 Level. Coaches look to prescribe training loads in the gym and on the court through progressions that appropriately prepare athletes to perform during matches. Most team sport that require demands of intermittent exercise include the ability to perform through high-intensity bouts of high-speed running. The purpose of this case study was to capture, analyze and visually prepare data to better understand sprinting demands of Division 1 Collegiate Women\u2019s Basketball.\u00a0<\/p>

BACKGROUND
<\/b>Strive is a performance tracking wearable technology system seamlessly integrated into compression shorts for both female and male athletes utilize in all training settings. The garments are comfortable, can be embedded in whatever brand the team desires, and…<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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ASSOCIATION BETWEEN FATIGUE AND GAME PERFORMANCE<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DESCRIPTION
<\/b>Tracking metrics like speed, distance and accelerations can reveal patterns in practices and games that allow coaching staff to make adjustments.\u00a0 In addition to those metrics, one team wanted to understand the amount of effort players exerted throughout a week leading up to a game. The team employed STRIVE to track both the external metrics as well as the muscle EMG activity.<\/p>

RESULTS
<\/b>STRIVE worked with the team to analyze the results and found an interesting early correlation: The overall fatigue of the team, which compared how hard the muscles worked to produce the accelerations, directly correlated with the how well the team performed in the game. Essentially, the team performed below their potential when the players approached fatigue the week leading up to a game.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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MONITORING INTENSITY OF GAME VS. PRACTICE<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DESCRIPTION
<\/b>How can coaches structure their weekly practices to better prepare for a game? One team wanted to replicate drills that produced similar game-time intensity that would allow them to structure their practices to optimize performance.\u00a0 With the help of STRIVE, they collected millions of data points across jumps, distance and accelerations to see what insights they could capture before games.<\/p>

RESULTS
<\/b>By analyzing the practices and non-conference games at the start of the season, the team identified how the opponent\u2019s style of play impacted their player\u2019s metrics. Using this information, the team made adjustments to their weekly practice schedule in an effort to get the same results in practice as on game day.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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CHANGES IN PLAYER LOAD? SYSTEMS INTERROGATION<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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ABSTRACT
<\/b>The purpose of this paper is to evaluate the use and utility of Sense3, a sensor system embedded in compression shorts that measure kinematic changes, muscle activation and physiology in elite athletes.<\/p>

THE PROBLEM
<\/b>Elite sports teams have been monitoring athlete loads through wearable technology for close to 10 years, yet most leagues and teams have yet to see a quantifiable reduction in athlete injury or a significant change in performance-based outputs. In many cases, the technologies provide a singular load metric \u201cscore\u201d indicating a difference from game to game- or practice sessions. Practitioners are left to make \u201cinferences\u201d on why the score changed, without forming a direct rationale as to which biological system…<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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RETURN-TO-PLAY \u2013 INTERNAL VS EXTERNAL LOAD<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DESCRIPTION
<\/b>As the player started return-to-play protocol, the team asked STRIVE \u00a0to re-assess his efficiency. The goal was to replicate the pre-injury practice session and identify any significant changes that could impact his recovery.<\/p>

RESULTS
<\/b>Before the injury, the player was found very efficient likely due to his conditioning to recovery balance. When STRIVE re-assessed the player post-injury, it showed that the internal load drastically increased even though the external load stayed consistent causing his efficiency to decrease nearly 40%.

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USING STRIVE TO ASSESS RETURN TO PLAY FOR NFL PLAYERS<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DESCRIPTION
<\/b>There are an average of 176 hamstring injuries each season in the NFL. Once a player sustains an injury, they are more prone to re injuring the same muscle. Players with hamstring injuries miss an average of 13 days depending on the severity.\u00a0 While practicing return-to-play protocol for hamstring injuries, one NFL team used STRIVE. Taking into account body composition, position, left vs. right dominance and previous injuries, STRIVE discovered how certain exercises affect specific muscle groups differently on individual players.<\/p>

RESULTS
<\/b>With this finding, the team worked collaboratively with strength coaches, athletic…<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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STRIVE'S CAPTURES REPETITIONS OF 400 METERS, ALL APPROXIMATELY 90 SECONDS<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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INTRODUCTION
<\/b>Currently, athletic organizations relate \u201cPlayer Load\u201d as a metric of output. IMU tech measures the output of an athlete\u2019s session and then a load is provided for use in comparison with the athlete\u2019s body of data to detect longitudinal trends and outliers. This number is then used as insight into how hard a session was for an athlete in relation to all other sessions, and sometimes even used as an injury risk indicator.\u00a0 In reality, the term Player Load is much broader than a simple movement score provided by an accelerometer. The amount of stress that an athlete\u2019s body is under, influences the difficulty of a session. A movement score is not without value, and it plays an important role in the idea of a player\u2019s load. However, there is additional context that is needed to fill out the picture that is true Player Load.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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ANALYZING INTERNAL & EXTERNAL LOAD IN DIVISION I NCAA BASKETBALL TEAM <\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DESCRIPTION
<\/b>Electromyography (EMG) is a diagnostic technique that evaluates and measures the electrical activity of skeletal muscles. The resultant amplitude of the muscles can help provide an approximation of internal load or how much work the muscles have done during an exercise period. With the noticeable uptick in the usage of wearable technology that measures external load, most strength and conditioning practitioners, athletic trainers, and other athletic organizational professionals are aware of the usefulness of an external load measurement. While the external load metric is useful in approximating the output of an athlete within an exercise session there is no accounting for the workload felt internally, by the muscles. One popular purpose of measuring external load is to reduce general fatigue and chronic stress. This is a reasonable…<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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VISUALIZING PERIODIZATION AND ITS EFFECTS ON AN\nIMBALANCE OF MUSCLE INPUT TO OUTPUT RATIO\n<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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INTRODUCTION
<\/b>Periodization in sport is important. Seasons can be long and grueling, and an organization always needs to be aware of the fatigue status of its athletes. With the influx of wearable tech, the increasingly common way to monitor load status in athletes is to obtain an external load metric (traditional player load) and monitor it over the course of a season. This has worked well for visualizing periodization of athlete training. With an external workload quantified, teams now have a better idea of what a \u201cnormal\u201d external workload is at an individual athlete level or a more general team level. This is a good start but is missing a key piece of information. When measuring external load…<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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EFFECTS OF FATIGUE ON INDIVIDUAL\u2019S PERFORMANCE AND\nMUSCLE COMPENSATION\n<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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INTRODUCTION
<\/b>Fatigue is the key driver in exposing weaknesses and deficiencies in athletes\u2019 performance. Traditional methods have been inadequate in location weakness points and ensuing compensation when athletes enter fatigue stages. To mitigate further injuries, coaches have been working with players strengthening their muscles in symmetric ways, whether left to right, or posterior and anterior. To understand this better, we will look at the athlete who conducted six extensive drills as a part of a daily workout. In this example, we will discuss how fatigue affects this athlete and his muscle response during the compensation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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STRIVE BLOG<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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STRIVE PLATFORM APPROVED AS STANDARD BENEFIT FOR RECOVERY<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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SEPTEMBER 1, 2021<\/b>\u00a0 <\/span>|\u00a0 <\/span>STRIVE, the only platform proven to optimize muscle performance for elite athletes and teams, today announced a strategic partnership with Fairly Group, the premier insurance broker and risk management company with hundreds of clients across all major professional sports leagues. Through the partnership, STRIVE is now available to players and teams as a benefit. Numerous players are already using STRIVE to help their return to play from injuries suffered during games.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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FULL ARTICLE >><\/a><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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CEO & COFOUNDER NIKOLA MRVALJEVIC JOINS DRIVING FORCE PODCAST<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AUGUST 10, 2021<\/b>\u00a0 <\/span>|\u00a0 <\/span>STRIVE CEO and Cofounder Nikola Mrvaljevic sat down with the Driving Force Podcast to discuss STRIVE\u2019s place in human performance. From playing professional basketball in Montenegro, to leading his team at STRIVE, Mrvaljevic discusses it all.



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FULL ARTICLE >><\/a><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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WANT TO LEARN MORE?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The STRIVE hardware and software ecosystem is the most affordable digital health solution to optimize muscle performance.\u00a0<\/p>

Join our wait list, tell us a little about yourself and we’ll get back to you.\u00a0<\/p>

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tJOIN WAITLIST<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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SCIENCE STRIVE provides the most complete, accurate and actionable muscle data in human performance inside a platform that provides powerful insights to elite athletes and coaches, soldiers, industrial workers, and patients. The Strive Platform has been validated to the highest medical grade standards by university-backed, peer-reviewed research. WHITE PAPERS & CASE STUDIES If you’re looking […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","content-type":"","footnotes":""},"class_list":["post-760","page","type-page","status-publish","hentry"],"yoast_head":"\nSTRIVE - Science<\/title>\n<meta name=\"description\" content=\"If you\u2019re looking to dive deeper into the STRIVE Platform, review the literature below illustrating use cases, research and validation.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/strive.tech\/science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"STRIVE - Science\" \/>\n<meta property=\"og:description\" content=\"If you\u2019re looking to dive deeper into the STRIVE Platform, review the literature below illustrating use cases, research and validation.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/strive.tech\/science\/\" \/>\n<meta property=\"og:site_name\" content=\"STRIVE\" \/>\n<meta property=\"article:modified_time\" content=\"2021-12-11T23:41:16+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/strive.tech\/wp-content\/uploads\/2021\/11\/fairlygroup-1024x584.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/strive.tech\\\/science\\\/\",\"url\":\"https:\\\/\\\/strive.tech\\\/science\\\/\",\"name\":\"STRIVE - 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