Project
# | Title | Team Members | TA | Documents | Sponsor |
---|---|---|---|---|---|
14 | Ankle Injury Prevention Honorable Mention |
Erin Sarver Matthew Miller Skyler Shi |
Sowji Akshintala | design_document1.pdf design_document2.pdf final_paper1.pdf other1.pdf presentation1.pdf presentation2.pdf presentation3.zip proposal1.pdf |
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UPDATED: GROUP: In-person: Erin Sarver (esarver2) & Matt Miller (mjm12); Online: Skyler Shi (jingtao2) PROBLEM In basketball, the most common injury that occurs is the ankle sprain or ankle roll. This injury occurs when the ankle inverts or everts more than its normal range of motion, thereby tearing ligaments and causing swelling. A tally of all injuries has shown that 13% of injuries at the NBA level and 40% of injuries at the high school level are ankle injuries, making it the most common injury at both levels of play. 1 2 SOLUTION OVERVIEW Our team wants to help basketball players of all levels prevent these injuries by monitoring ankle stress throughout a basketball game. After collecting ankle stress data, we can analyze the digital time series data and show players: Time instances where they put their ankle under extraneous stress How stable their ankle behaves on landings (bad landings is the number one cause of ankle sprain) Whether their ankle stress patterns are similar to the patterns of a low ankle injury-risk player or to the patterns of a high ankle injury-risk player Note: Before a player plays in a game, we can ask him to move his ankle in all directions of motion and record their “normal” range of motion. This range of motion will be used as a threshold for detecting extraneous ankle stress. We will measure ankle stress through the design of a shoe outfitted with the appropriate sensors. By measuring ankle stress, we can even design a metric “Ankle Stability” that informs professional players of the reliability of their ankles given their movement mechanics. This measure will greatly help inform coaches in deciding how long to play a player in a game to maximize their output and minimize their injury-risk. SOLUTION COMPONENTS SUBSYSTEM 1: SHOE We need a special shoe that can measure ankle stress. Here is an initial proposal of the design of the shoe. Processing: We will use a micro controller on a custom PCB to collect sensor signals and process sensor signals. We will be able to perform signal analysis after the sensor signals. are collected by the micro controller and passed to the phone app. Packaging: All components will be outfitted with a waterproof solution to ensure that sweat does not affect the functionality of our design. Sensors: We will attach multiple flex sensors to the inside of the shoe. One end of the flex sensor will touch the bottom of the shoe. Another end will extend above the shoe and can be attached to the player’s sock through the usage of velcro or other adhering solutions. To make it easier for the player to put on the shoe, we can extend the shoe upwards so the flex sensors don’t get in the way. See this shoe design: https://images.solecollector.com/complex/image/upload/c_fill,dpr_auto,f_auto,fl_lossy,g_face,q_auto,w_1280/nike-kd-8-high-creamsicle-2_dvuh0l.jpg Sensors: We will attach a pressure sensor to the bottom of the shoe so that we can detect the player jumping and landing. This data paired with the flex sensor data can help us analyze how the player’s ankle behaves during jumps and landings. Packaging: We will use the smallest battery possible to power our design. The sole of a basketball shoe is incredibly important to performance, so we do not want to package our solution into the sole of the shoe. Instead, we can package the solution onto the top of the shoe. This will not interfere with performance at all given the weight of the solution is not substantial. Basketball shoes are usually around 400 grams, so our solution should be within 100 grams. Communication: we want to push all data collected to a phone where users can view statistics and analyses in a mobile app. This will give users a more user-friendly experience. To do so, we will fit our microcontroller with a bluetooth module to transmit data. SUBSYSTEM 2: PHONE APP Our mobile app will receive all flex sensor and pressure sensor data from both shoes. To detect abnormal ankle stress, we will simply detect when the flex sensor signal exceeds the normal ankle motion range defined by asking our athletes to perform an initial ankle motion stretch. To detect jumps and landings, we will detect around 1 second time periods where the pressure sensor spikes twice (jump and land). Our app will have a user interface that clearly shows athletes what time their ankle was under high stress. It can even show athletes the corresponding game footage by matching timestamps. Our app will inform an athlete whether they are high risk or low risk of injury based on their stress pattern profile. CRITERION FOR SUCCESS To consider our project a success, the following criterion must be met: A waterproof design that can withstand the sweat inside a shoe Prediction of a player’s normal range of motion used as a threshold for detecting ankle stress Collection of flex sensor and pressure sensor data with ability to transmit via bluetooth module to the mobile app A mobile app that communicates with the microcontroller and delivers reliable feedback to the user for showing at what times their ankle was under high stress. CONTINGENCY PLAN In the event that all of our group members must be online-only, one member will be responsible for the shoe design, while the others will be responsible for integrating the mobile app and translating the data into user-friendly feedback. Ideally, we will have the shoe design and PCB completed before this event, as the rest of the project can be completed virtually using at home supplies. If the shoe design and PCB are unable to be completed before the class becomes online-only, the two in-person students would still meet to finish the construction of these two components. We will create a video to demo our project, which will consist of clips from each of the three team members. |