System Design of a Biofeedback Active Sensor System (BASS) to Mitigate the Probability of ACL Injuries

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System Design of a Biofeedback Active Sensor System (BASS) to Mitigate the Probability of ACL Injuries Maribeth Burns, Andrew Tesnow, Amr Attyah, and Samuel Miller George Mason University mburns10, atesnow, aattayh, smille20@masonlive.gmu.edu Abstract - The anterior cruciate ligament is a main stabilizer between the tibia and femur. Tearing it causes loss of mobility and need for surgery. There is a 13% chance for a National Collegiate Athletic Association athlete to tear their anterior cruciate ligament each year. The recovery process can take up to 9 months, about a quarter of a collegiate athlete s career and 44% of those who complete rehabilitation return to athletic participation. Seventy percent (70%) of anterior cruciate ligament injuries occur from non-contact mechanisms. These decompose into 5 types of failure mechanisms. An analysis was performed on flexion/extension (37%) failure mechanisms. Examinations of the equations of motion of the knee shows the ground reaction and muscle force have the highest contributing weight when compared to the four (4) main contributing factors. The proposed solution includes a biofeedback sleeve that stores inputs and converts it to a tibial shear force approximator. From there, the sleeve warns the athlete if they are approaching a dangerous tibial shear force level. The proposed plan for preventing anterior cruciate ligament will produce $593,400,000, with $483,341 startup costs. The breakeven point occurs at 3 months, with a NPV of $15,968,608 and a return on investment of 18,284.59% after 5 years. the ligaments, posterior cruciate ligament (PCL) (12), medial collateral ligament (MCL) (13), lateral collateral ligament (LCL) (14), and anterior cruciate ligament (ACL) (15). These all play a major role in the stability of the knee, specifically the ACL. FIGURE I KNEE The Anterior Cruciate Ligament (ACL) is the primary stabilizing knee ligament preventing the anterior translation of the tibia. [1] ACL tears can be broken down into two categories, contact, and noncontact Index Terms Anterior cruciate ligament, Biofeedback, Prevention, Tear INTRODUCTION I. Context The knee contains five major sets of components, bones, muscles, cartilage, tendons, and ligaments. The bones include the femur (1), patella (2), tibia (3), and fibia (4). The femur is the thigh bone. The fibia and tibia make up the shank, (the lower part of the leg) and the patella is also known as the knee cap. The next section are the muscles, these include the quadriceps (8), hamstrings (9), and gastrocnemius (calf) (10). After that, there is the meniscus (11) which acts as a cushion to absorb shock in dynamic movement. The tendons in the knee system are the hamstring tendons (7) (on the back of the knee), and patellar (6) and quadriceps tendons (5) that connect the quadriceps to the quadriceps to the patella to the tibia. Finally, there are FIGURE II ACL TEAR MECHANISMS These make up 30 % and 70 % of ACL injuries. Noncontact injuries can be broken down even further into

three categories, flexion/extension, internal/external rotation, and abduction/adduction, with two sub categories, flexion/extension with rotation and abduction/adduction with rotation. [2] For the purpose of this paper, flexion/extension injuries will be the focus at 37% of noncontact injuries which is 77,700 ACL injuries per year out of the total 300,000 ACL injuries per year. [1] The ACL tears at 2100 N. The tears associated with flexion injuries are due to a phenomena known as Tibial Shear Force (TSF). When the leg is fully extended, there is a high amount of strain on the ACL from the tibia. The PCL, on the other hand, is relaxed. When the knee is flexed, the properties of the ACL and PCL switch. attempt to lower the probability of injury. The limitations on these programs occur in their implementation however. Only about 30% of coaches implement these programs correctly. [4][5][6] That could be from limitation on how well a coach or trainer can observe the prevention exercises as well. The head weight training and fitness coach at George Mason University, John C Delgado, highlighted it was hard to observe an entire team and therefore it was probable that some participants form was not corrected. The method of observing an athlete s form was based on theories of kinesiology and experience of being a coach. These methods are subjective to what he knows as good form and also to what he can see when observing athletes. There was not any quantitative method to determine good form and the resultant ACL strain. III. Problem Statement There is no quantifiable method to determine ACL strain. There is currently no system that accurately quantifies ACL strain for a person at any given time. METHOD OF ANALYSIS FIGURE III SAGITTAL VIEW OF THE KNEE Once, the ACL tears, an event known as anterior tibial translation occurs. When the ACL tears, the tibia is released and moves forward. The physics of the knee flexion tear need to be understood for a system to be put into place to mitigate it. The knee flexion tear is caused by Tibial Shear Force (TSF). TSF needs to be able to be quantified. To do so, all relative forces to the knee need to have a relative reference frame. This is done by using the shank angle, or the angle of the tibial head to the earths X-axis. II. Gap Analysis FIGURE IV ANTERIOR TIBIAL TRANSLATION There are ACL injury repression programs in place like the Santa Monica Sports Medicine Research Foundation s Prevent Injury and Enhance Performance (PEP) program. These exercise programs have been proven effective [3]. They focus on building muscle memory of good form and developing the muscles that support knee ligaments in an FIGURE V TSF This reference frame is important because the x-axis of this reference frame is line of action of the ACL ligament. Therefore any forces on the Shank reference frame in the X can be quantified as approximate ACL strain. [7] Tibial Shear Force results from inputs from the force supplied by the momentum of the Shank (tibia and fibula), the momentum of the foot, the earth's ground reaction forces, and the relative contributions of the Gastrocnemius muscle, the quadriceps muscle, and the hamstring muscle.

TSF = F Shank + F Foot + F GroundReaction + F Muscles (1) TSF = m s [a sx cos( s ) (a sy + g)sin( s )] + m f [a fx cos( s ) (a fy + g)sin( s )] F grx cos( s ) + F gry cos( s ) F GastroX F QuadX F HamX (2) The foot contributes to TSF through its transferal of the earth's ground reaction forces and the resultant translation and moment forces at the ankle. FIGURE VIII SHANK REFERENCE FRAME FIGURE VI FOOT FREE BODY DIAGRAM The shank, which is the tibia and the fibula together, contributes to TSF through its force it generates due to its force from motion and the force at the ankle do to the foot. In the model uses flexion angle b. The quadriceps muscle connects to the patella (knee bone) by a tendon which then connects to the tibia via a tendon. [8] The relative force on the tibia is therefore relative to the position of the patella. The patella position changes due to knee flexion. Therefore the relative contribution to TSF from the quadriceps is due to flexion angle. F QuadX = F Quad sin((-.238)*(180 - flexb ) + 22.2) (3) The hamstring muscle contributes to TSF by pulling on the tibia in the opposite way as the quadriceps. In this way the Hamstring is the largest muscular mitigator of TSF. The hamstring contribution is directly related to the flexion angle. F HamX = F Ham *cos(90- flexb ) (4) The gastrocnemius muscle (calf) contributes to TSF by connecting to the lower part of the femur. In this way it also creates a TSF force in the opposite direction of the quadriceps. It mitigates TSF but not in the magnitude of the hamstring muscles. F gastrox = F gastro *sin(sin -1 ((d*sin( flexb ))/(d 2 + tib length 2 2*d* tib length *cos( flexb )) -2 )) (5) FIGURE VII FREE BODY DIAGRAM SHANK The muscle force contributions to TSF have to be understood by the flexion angle. Flexion angle is the relative angle between the femur and the tibia. d in this model is the distance between the center of the knee to the connection point of the gastrocnemius to the femur, which is about 3 centimeters. Ground Reaction Force contribution comes from the body s dissipation of the earth's forces due to Newton's laws. These forces have not been theoretically measured for this problem due to the complexity of the system. The Ground reaction forces would counteract the body's center of mass and momentum which is based on the athletes predetermined neuromuscular response to their landing goals. It can be thought of as a smart spring that an athlete's form would have to be analyzed to derive.

I. Sensitivity Analysis A Sensitivity analysis was conducted on the model which was run through a simulator to determine the effects of the TSF contributors have to total TSF. The contributions of the muscles to TSF were analyzed first by varying the flexion angle. All other parameters were held at their average values to isolate the change. The contributions of the ground reaction forces were analyzed by keeping a constant shank angle and then computing the effects to TSF by varying their contributions in body weight. II. CONOPS The solution is a wearable device that uses a Biofeedback Active Sensor System (BASS) to actively quantify the ACL strain during flexion modes, and then warning the user when they reach a high reading. In this way, a user is given knowledge of their bad form and can actively change their form to mitigate their probability of tear. SYSTEM COMPONENTS To actively monitor all the contributing factors to TSF, there are sensors for measuring all the factors, knee flexion, shank angle, acceleration of the shank, acceleration of the foot, and the earth's ground reaction forces. The system will route the sensor readings to a microprocessor that will actively run the data against a TSF algorithm. When the sensor reading reach above a threshold, then the processor will then cause a beeper and light to go off which will actively alert the user to their bad form. FIGURE XI COMPONENTS DIAGRAM FIGURE IX SAMPLE OUTPUT I. Design Alternatives The components used were the flex sensor for the flexion and shank angle detection, MyoWare Muscle Sensor for muscle activation, Force Sensors for ground reaction force, 3-axis accelerometer for acceleration, and the wearable microcontroller for the processor. II. Value Hierarchy FIGURE X BASS FIGURE XII VALUE HIERARCHY

III. Utility VS Cost A utility vs cost analysis was performed on each set of components using the value hierarchy to rate their utility. The most usable and cost effective alternative was selected for each necessary component. TABLE I SYSTEM COMPONENTS Variable Unit Cost Flexion & Shank Flex Sensor $12.95 Muscle Activation MyoWare Muscle Sensor $37.95 Ground Reaction Force Force Sensor $8.50 Acceleration 3-axis Accelerometer $7.95 Processor Wearable Microcontroller Board BUSINESS PLAN $19.95 There is a potential market size of just under $600 M. This includes a market of ACLI sufferers (300,000 per year), NCAA athletes (420,000 per year), and professional athletes (18,000 per year). With a selling price of $300 per sleeve, this equates to a total market value of $593 M. TABLE II BUSINESS SCENARIOS Scenarios Expected Pessimistic Optimistic Market Share 25% 10% 50% Penetration Rate Market Share Value 5% 2% 10% $148,350,000 $59,340,000 $296,700,000 The initial costs consist of startup and investment, $92 K and $391 K respectively Amount per unit TABLE III STARTUP COSTS Startup Description Market Research (non-recurring cost) 3331 20 test product * cost of producing 1 unit Overhead 63,200 Rent, Utilities, Health Ins Rent + Utilities 54,000 $30/square feet* 1800 square feet Utilities 6000 500/month*12 months Health Insurance 3200 4 employees * cost of insurance/year Marketing 20,000 Website Development (non-recurring cost) 5640 visual design, programming, content support, client training Signing for webhost 59.4 $4.95/month*12 month Total Startup Cost 92,230 Component Acquisition Potentiometer X2 Knee Sleeves X2 Pressure Sensors X16 TABLE IV OPERATIONAL COSTS Operational Amount Description 0.34 Measures threshold 4 Wearable component 127.2 Measures Ground Reaction Force Speakers X2 0.94 Beeps When 1900 N is reached Accelerometer 1.02 Measures Acceleration s X2 Processor 19.95 Process input and make calculations Flexion Sensor 51.8 Measures Knee Flexion X4 Parts Cost 204 Labor 20 hourly rate Total Variable 307851.2 ProductionFor4Employees*cost of components + labor cost * 4 Fixed costs 83,259 Overhead 63,200 Rent, Utilities, etc. Marketing 20,000 Webhost 59.4 Total Operational 391,111 RESULTS The results of the muscle force contributions, varied by flexion angle, show that at approximately 160 degrees, the quadriceps muscle force dominates the hamstring and gastrocnemius muscle in the TSF reference and therefore contributes more overall force to TSF. This verifies the concept of Quad-Dominance which refers to the tendency to absorb ground reaction forces with flexion angles lower than 20 degrees. [9]

on the rotation and abduction injury be made. In this way the overall causes of ACL injury can be understood and mitigated which would more fully contribute to decreasing the number of tears. ACKNOWLEDGMENT We would like to give a special thanks to the people that have helped us through this semester: Dr. Sherry, Dr. Adelman, Dr. Costa, Dr. Zaidi, Dr. Ganesan, Dr. Shortle, Dr. Anderson, Dr. Qi Wei, Chad Malone, John C Delgado, GMU Smart Lab, Crystal Lee, Proactive Physical Therapy and Wellness, Filipe Fernandes, and Conor Nelson. REFERENCES FIGURE XIII MUSCLE FORCES VS TSF The last analysis shows the contributions of ground reaction forces to TSF by varying the magnitude of the ground reaction forces by body weights. The X axis ground reaction force actually dissipates overall TSF while the Y axis forces contribute linearly to a maximum of 700 Newtons. [1] "What Is The Anterior Cruciate Ligament?", ehealthmd, 2016. [Online]. Available: http://ehealthmd.com/acl-tears/what-anteriorcruciate-ligament#axzz44vl43963. [Accessed: 02- Apr- 2016]. [2] C. Quatman, C. Quatman-Yates and T. Hewett, "A Plane Explanation of Anterior Cruciate Ligament Injury Mechanisms", Sports Medicine, vol. 40, no. 9, pp. 729-746, 2010. [3] "ACL Injuries - Hellman Holistic", Hellman Holistic, 2014. [Online]. Available: http://hellmanholistichealth.com/blog/1731/aclinjuries/#sthash.t50sh5uk.dpbs. [Accessed: 02- Apr- 2016]. [4] J. Jeong Lee, et. al, Ligament Reconstruction in Congenital Absence of the Anterior Cruciate Ligament: A Case Report, Knee Surgery & Related Research, vol. 4, pp. 240-243, 2016. [5] A. Benjaminse, W. Welling, B. Otten and A. Gokeler, "Novel methods of instruction in ACL injury prevention programs, a systematic review", Physical Therapy in Sport, vol. 16, no. 2, pp. 176-186, 2015. [6] M. Norcross, S. Johnson, V. Bovbjerg, M. Koester and M. Hoffman, "Factors influencing high school coaches adoption of injury prevention programs", Journal of Science and Medicine in Sport, vol. 19, no. 4, pp. 299-304, 2016. [7] C. Myers and D. Hawkins, "Alterations to movement mechanics can greatly reduce anterior cruciate ligament loading without reducing performance", Journal of Biomechanics, vol. 43, no. 14, pp. 2657-2664, 2010. [8] L. DeFrate, K. Nha, R. Papannagari, J. Moses, T. Gill and G. Li, "The biomechanical function of the patellar tendon during in-vivo weight-bearing flexion", Journal of Biomechanics, vol. 40, no. 8, pp. 1716-1722, 2007. [9] D. Herman, P. Weinhold, K. Guskiewicz, W. Garrett, B. Yu and D. Padua, "The Effects of Strength Training on the Lower Extremity Biomechanics of Female Recreational Athletes During a Stop-Jump Task", The American Journal of Sports Medicine, vol. 36, no. 4, pp. 733-740, 2008. AUTHOR INFORMATION FIGURE XIV GROUND REACTION FORCES VS TSF RECOMMENDATIONS Maribeth Burns, Student, Department of Systems Engineering and Operations Research, George Mason University. Andrew Tesnow, Student, Department of Systems Engineering and Operations Research, George Mason University. Amr Attyah, Student, Department of Systems Engineering and Operations Research, George Mason University. Samuel Miller, Student, Department of Systems Engineering and Operations Research, George Mason University. Since the proposed system and analysis focused on one mechanism of injury, it is suggested that a thorough analysis