Knee Biofeedback Rehabilitation Interface for Game-based Home Therapy for Patients With Knee Osteoarthritis

Osteo Arthritis Knee Clinical Trial

— KneeBRIGHT  

Official title:

Knee Biofeedback Rehabilitation Interface for Game-based Home Therapy ("KneeBRIGHT") Phase II

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04187092
• Other study ID #: IRB-HSR# 21926
• Status: Completed
• Phase: N/A
• Start date: January 1, 2020
• Est. completion date: July 28, 2021

Study information

• Verified date: February 2023
• Source: University of Virginia
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Osteoarthritis (OA) is the leading cause of disability in the United States. As osteoarthritis is associated with the lower limb muscle weakness, rehabilitation through quadriceps strengthening is a well-established treatment for patients with knee OA, but patient adherence to exercise routines is low due to lack of guidance regarding optimal protocols and lack of engagement during the repetitive routines that patients find tedious and boring.

The Knee Biofeedback Rehabilitation Interface for Game-based Home Therapy ("KneeBRIGHT") system combines electromyography (EMG) biofeedback with video game therapy to provide knee OA patients with an engaging, effective tool for conducting rehabilitation exercises at home. KneeBRIGHT aims to motivate patients with knee OA to conduct regular muscle strengthening exercise through an engaging, EMG-driven video game therapy.

Overall goal of the program is to improve knee OA outcomes through effective and motivating rehabilitation exercises. Participants will be randomized to two groups: (1) KneeBRIGHT group; (2) Standard rehabilitation group. Both groups will undergo baseline and follow up assessment to measure the patient-reported outcomes and thigh muscle strength. Participants in both groups will undergo a 12-week program including 3 exercise sessions per week that includes a combination of in-person and at home sessions. Pre and post intervention outcome measures will be compared to explore the effectiveness. Technology acceptance will also be studied in patients randomized to KneeBRIGHT group.

Description:

Osteoarthritis (OA) is the leading cause of disability in the United States. As osteoarthritis is associated with the lower limb muscle weakness, rehabilitation focused on quadriceps and other lower extremity muscle strengthening is a well-established treatment for patients with knee OA. However, patient adherence to exercise routines is low due to the lack of guidance regarding optimal protocols, and poor engagement during the repetitive routines that patients find tedious and boring.

Long-term goal of this study is to improve knee OA outcomes through effective and motivating rehabilitation exercises. The Knee Biofeedback Rehabilitation Interface for Game-based Home Therapy ("KneeBRIGHT") system combines electromyography (EMG) biofeedback with video game therapy (VGT) to provide knee OA patients with an engaging, effective tool for conducting rehabilitation exercises at home. KneeBRIGHT aims to motivate patients with knee OA to conduct regular muscle strengthening exercise through an engaging, EMG-driven video game therapy.

Participants with age from 40-75, with independent ambulation and with the diagnosis of knee OA made by x-ray and a score of at least 2 (out of 4) on the Kellgren-Lawrence OA radiographic classification system will be included in the study. Participants with psychiatric or cognitive impairment (e.g., dementia), symptomatic spine, hip, ankle, or foot disease other than OA that would interfere with assessment of the knee will be excluded. Participants with balance or vestibular disorders, peripheral neuropathy, skin conditions that prevent EMG electrode placement, prisoner, pregnant women (by report), non-English-speaking, individuals who are visually and/or hearing impaired will also be excluded.

Eligible participants will be randomized to two groups: (1) KneeBRIGHT group; (2) Standard rehabilitation group. Both groups will undergo baseline and follow up assessment to measure the patient-reported outcomes and thigh muscle strength. Participants in both groups will undergo a 12-week program including 3 exercise sessions per week that includes a combination of in-person and at home sessions

Both groups will undergo same rehabilitation protocol which will begin with sessions supervised in the clinic by the study team physical therapist and gradually home sessions will be added. Participants in KneeBRIGHT group will perform the quadriceps strengthening exercises with the video-games based activities. The EMG biofeedback units and video game w/laptop will be provided to the subjects for home use. Subjects will receive instruction on how to apply the EMG biofeedback unit and use of the video game. KneeBRIGHT Game Activities consists of an introduction of the player to the virtual world and the missions, the player customizes the personal avatar and completes a series of calibration contractions and practice exercises to gain familiarity with the game controls. Through the EMG system, a player's muscle contractions translate into physical movements of the avatar and control of vehicles within the virtual environment. Each quest-type challenge is designed to permit play in a seated, supine, supported standing, or freestanding position, based on an individual's physical status. User interactions with the game incorporate knee extension exercises and functional movements that provide optimal therapeutic benefits.

Participants in both groups will undergo combination of home and in clinic sessions. Protocol will start with six clinic visits in order to maximize familiarity with the exercise routines and equipment. Home sessions will be added after 2 weeks in rehabilitation. The sessions will consist of warm up, strengthening, balance, precision and gentle stretching exercises. Strengthening exercises will be focused on quadriceps, hamstring, calf and gluteal muscles. Stretching exercises will be focused on quadriceps, hamstring and calf muscles. Progression will be guided by the rehabilitation principles and participants response to the exercise. The amount of these exercises will depend on how they make the subject feel. The rehabilitation program will allow the subject to increase the amount of exercise they can perform. Exercises will be limited if the subject feels discomfort. Overall, protocol will consist of 36 sessions in total, 20 in clinic sessions and 16 home-based sessions.

Pre and post intervention outcome measures will be compared to explore the effectiveness. Technology acceptance will also be studied in patients randomized to KneeBRIGHT group.

Overall, KneeBRIGHT has the potential to significantly enhance OA rehabilitation by improving functional recovery through physical practice of specific, adaptive exercise and promoting adherence through fun games and performance feedback. Use of the KneeBRIGHT system in teletherapy may increase access to remote/underserved areas and extend the range of existing rehabilitation facilities.

Statistical analysis Knee function assessed by composite KOOS score prior to the study will be compared to the KOOS score recorded post-intervention to test the primary hypothesis that patients conducting the KneeBRIGHT exercise will significantly improve knee function compared to the control group. Pre-intervention KOOS scores measures will be subtracted from the post-intervention scores to produce a set of delta values. These delta values will be analyzed via Analysis of Covariance (ANCOVA). A p≤0.05 decision rule will be utilized as the rejection criterion.

Questionnaire results will be used to test the hypothesis that patients using the KneeBRIGHT system demonstrate increased levels of engagement compared to those conducting a conventional exercise routine. The questionnaire scores will be tallied to produce composite scores. These composite scores will be analyzed via a linear mixed model. A p≤0.05 decision rule will be used as the null hypothesis rejection criterion.

Timing data from the home visits will be analyzed by comparing the minutes of exercise with the KneeBRIGHT system to minutes of exercise with the standard exercise regimen in the control group to test the hypothesis that exercise duration is greater with the KneeBRIGHT system. Mean usage time on each system will be analyzed via Student's paired t-test, with P v≤0.05 as the null hypothesis rejection criterion.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 38
• Est. completion date: July 28, 2021
• Est. primary completion date: July 28, 2021
• Accepts healthy volunteers: No
• Gender: All
• Age group: 40 Years to 75 Years

Eligibility

Inclusion Criteria:

• Age 40-75

• Diagnosis of Osteoarthritis

• Independent ambulation without assistive device

Exclusion Criteria:

• Individuals who have psychiatric or cognitive impairment (e.g., dementia) that interferes with their ability to follow instructions or provide voluntary consent

• Symptomatic spine, hip, ankle, or foot disease other than osteoarthritis that would interfere with assessment of the knee.

• Balance or vestibular disorders

• Peripheral neuropathy

• Skin conditions that prevent EMG electrode placement

• Prisoner

• Pregnant (by report)

• Non-English-speaking

• Individuals who are visually and/or hearing impaired

Related Conditions & MeSH terms

• Osteo Arthritis Knee
• Osteoarthritis
• Osteoarthritis, Knee

Intervention

Other:
• KneeBright Group
The KneeBRIGHT group will use KneeBright device which consists of an EMG biofeedback interface software that guides users through exercise routines. The wireless EMG sensors includes two small electrodes that will be made to stick to the quadriceps muscles both sides. KneeBRIGHT software features a virtual world wherein patients complete challenges controlling the in-game avatar with the EMG units during exercises specific to knee osteoarthritis rehabilitation. The KneeBRIGHT software will incorporates a variety of exercises for strengthening the quadriceps and will employ algorithms based on the Daily Adjustable Progressive Resistance Exercise (DAPRE) technique, in which the quantity of repetitions performed in these sets is then used to determine the appropriate increase (or possibly decrease) in target resistance for the next sets/sessions.
• Standard Rehabilitation group
Participants in this group will undergo standard clinic based knee rehabilitation. Both groups will perform exact same exercises, however, no KneeBRIGHT device will be used in this group.

Locations

Country	Name	City	State
United States	University of Virginia	Charlottesville	Virginia

Sponsors (3)

Lead Sponsor	Collaborator
University of Virginia	Barron Associates, Inc., National Institutes of Health (NIH)

Country where clinical trial is conducted

United States, 

References & Publications (75)

Adams RJ, Lichter MD, Ellington A, White M, Armstead K, Patrie JT, Diamond PT. Virtual Activities of Daily Living for Recovery of Upper Extremity Motor Function. IEEE Trans Neural Syst Rehabil Eng. 2018 Jan;26(1):252-260. doi: 10.1109/TNSRE.2017.2771272. — View Citation

Adams RJ, Lichter MD, Krepkovich ET, Ellington A, White M, Diamond PT. Assessing upper extremity motor function in practice of virtual activities of daily living. IEEE Trans Neural Syst Rehabil Eng. 2015 Mar;23(2):287-96. doi: 10.1109/TNSRE.2014.2360149. Epub 2014 Sep 24. — View Citation

Adams RJ. Strength and BALance (SABAL) Virtual Trainer. NIA: 1R41AG046958-01A1, 2015.

Ardali G. A daily adjustable progressive resistance exercise protocol and functional training to increase quadriceps muscle strength and functional performance in an elderly homebound patient following a total knee arthroplasty. Physiother Theory Pract. 2014 May;30(4):287-97. doi: 10.3109/09593985.2013.868064. Epub 2014 Jan 7. — View Citation

Babault N, Pousson M, Ballay Y, Van Hoecke J. Activation of human quadriceps femoris during isometric, concentric, and eccentric contractions. J Appl Physiol (1985). 2001 Dec;91(6):2628-34. doi: 10.1152/jappl.2001.91.6.2628. — View Citation

Bell DR, Guskiewicz KM, Clark MA, Padua DA. Systematic review of the balance error scoring system. Sports Health. 2011 May;3(3):287-95. doi: 10.1177/1941738111403122. — View Citation

Bennell K, Hinman R. Exercise as a treatment for osteoarthritis. Curr Opin Rheumatol. 2005 Sep;17(5):634-40. doi: 10.1097/01.bor.0000171214.49876.38. — View Citation

Bitton R. The economic burden of osteoarthritis. Am J Manag Care. 2009 Sep;15(8 Suppl):S230-5. — View Citation

Bossen D, Buskermolen M, Veenhof C, de Bakker D, Dekker J. Adherence to a web-based physical activity intervention for patients with knee and/or hip osteoarthritis: a mixed method study. J Med Internet Res. 2013 Oct 16;15(10):e223. doi: 10.2196/jmir.2742. — View Citation

Bossen D, Veenhof C, Van Beek KE, Spreeuwenberg PM, Dekker J, De Bakker DH. Effectiveness of a web-based physical activity intervention in patients with knee and/or hip osteoarthritis: randomized controlled trial. J Med Internet Res. 2013 Nov 22;15(11):e257. doi: 10.2196/jmir.2662. — View Citation

Cameron C. Patient compliance: recognition of factors involved and suggestions for promoting compliance with therapeutic regimens. J Adv Nurs. 1996 Aug;24(2):244-50. doi: 10.1046/j.1365-2648.1996.01993.x. — View Citation

Campbell R, Evans M, Tucker M, Quilty B, Dieppe P, Donovan JL. Why don't patients do their exercises? Understanding non-compliance with physiotherapy in patients with osteoarthritis of the knee. J Epidemiol Community Health. 2001 Feb;55(2):132-8. doi: 10.1136/jech.55.2.132. — View Citation

Carr A. Barriers to the effectiveness of any intervention in OA. Best Pract Res Clin Rheumatol. 2001 Oct;15(4):645-56. doi: 10.1053/berh.2001.0179. — View Citation

Chen H, Rong W, Ma X, Qu,Y and Xiong Z. An Extended Technology Acceptance Model for MobileSocial Gaming Service Popularity Analysis. Mobile Information Systems, vol. 2017. doi:10.1155/2017/3906953

Collins NJ, Misra D, Felson DT, Crossley KM, Roos EM. Measures of knee function: International Knee Documentation Committee (IKDC) Subjective Knee Evaluation Form, Knee Injury and Osteoarthritis Outcome Score (KOOS), Knee Injury and Osteoarthritis Outcome Score Physical Function Short Form (KOOS-PS), Knee Outcome Survey Activities of Daily Living Scale (KOS-ADL), Lysholm Knee Scoring Scale, Oxford Knee Score (OKS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Activity Rating Scale (ARS), and Tegner Activity Score (TAS). Arthritis Care Res (Hoboken). 2011 Nov;63 Suppl 11(0 11):S208-28. doi: 10.1002/acr.20632. No abstract available. — View Citation

Creating healthcare data applications to promote HIPAA and HITECH Compliance. Amazon Web Services. http://aws.amazon.com/compliance/#hipaa

Davis FD. Perceived Usefulness, Ease of Use, and User Acceptance of IT. MIS Quarterly. 1989;13(3):319-40.

De Luca CJ, Kuznetsov M, Gilmore LD, Roy SH. Inter-electrode spacing of surface EMG sensors: reduction of crosstalk contamination during voluntary contractions. J Biomech. 2012 Feb 2;45(3):555-61. doi: 10.1016/j.jbiomech.2011.11.010. Epub 2011 Dec 9. — View Citation

Devos-Comby L, Cronan T, Roesch SC. Do exercise and self-management interventions benefit patients with osteoarthritis of the knee? A metaanalytic review. J Rheumatol. 2006 Apr;33(4):744-56. — View Citation

Ericsson YB, Dahlberg LE, Roos EM. Effects of functional exercise training on performance and muscle strength after meniscectomy: a randomized trial. Scand J Med Sci Sports. 2009 Apr;19(2):156-65. doi: 10.1111/j.1600-0838.2008.00794.x. Epub 2008 Apr 6. — View Citation

Farr JN, Going SB, Lohman TG, Rankin L, Kasle S, Cornett M, Cussler E. Physical activity levels in patients with early knee osteoarthritis measured by accelerometry. Arthritis Rheum. 2008 Sep 15;59(9):1229-36. doi: 10.1002/art.24007. — View Citation

Farr JN, Going SB, McKnight PE, Kasle S, Cussler EC, Cornett M. Progressive resistance training improves overall physical activity levels in patients with early osteoarthritis of the knee: a randomized controlled trial. Phys Ther. 2010 Mar;90(3):356-66. doi: 10.2522/ptj.20090041. Epub 2010 Jan 7. — View Citation

Fetscherin M, Lattemann C, User Acceptance of Virtual Worlds. J Electronic Comm Research. 2008; 9(3):231-42.

Fisher NM, Gresham G, Pendergast DR. Effects of a quantitative progressive rehabilitation program applied unilaterally to the osteoarthritic knee. Arch Phys Med Rehabil. 1993 Dec;74(12):1319-26. doi: 10.1016/0003-9993(93)90087-q. — View Citation

Fransen M, McConnell S, Bell M. Therapeutic exercise for people with osteoarthritis of the hip or knee. A systematic review. J Rheumatol. 2002 Aug;29(8):1737-45. — View Citation

Fransen M, McConnell S. Exercise for osteoarthritis of the knee. Cochrane Database Syst Rev. 2008 Oct 8;(4):CD004376. doi: 10.1002/14651858.CD004376.pub2. — View Citation

Gell NM, Rosenberg DE, Demiris G, LaCroix AZ, Patel KV. Patterns of technology use among older adults with and without disabilities. Gerontologist. 2015 Jun;55(3):412-21. doi: 10.1093/geront/gnt166. Epub 2013 Dec 30. — View Citation

Goldman RJ, Reinbold KA, Iglarsh ZA, Neustadter LM, Oatis CA, Schumacher HR. Phase I design and evaluation of an isometric muscle reeducation device for knee osteoarthritis rehabilitation. J Rehabil Res Dev. 2003 Mar-Apr;40(2):95-107. doi: 10.1682/jrrd.2003.03.0095. — View Citation

Higgins LD, Taylor MK, Park D, Ghodadra N, Marchant M, Pietrobon R, Cook C; International Knee Documentation Committee. Reliability and validity of the International Knee Documentation Committee (IKDC) Subjective Knee Form. Joint Bone Spine. 2007 Dec;74(6):594-9. doi: 10.1016/j.jbspin.2007.01.036. Epub 2007 Aug 6. — View Citation

Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010 Feb;43(1):159-72. doi: 10.1016/j.jbi.2009.07.002. Epub 2009 Jul 15. — View Citation

Hootman JM, Helmick CG. Projections of US prevalence of arthritis and associated activity limitations. Arthritis Rheum. 2006 Jan;54(1):226-9. doi: 10.1002/art.21562. — View Citation

Hopkins JT, Ingersoll CD, Krause BA, Edwards JE, Cordova ML. Effect of knee joint effusion on quadriceps and soleus motoneuron pool excitability. Med Sci Sports Exerc. 2001 Jan;33(1):123-6. doi: 10.1097/00005768-200101000-00019. — View Citation

Hsu JK, Thibodeau R, Wong SJ, Zukiwsky D, Cecile S, Walton DM. A "Wii" bit of fun: the effects of adding Nintendo Wii((R)) Bowling to a standard exercise regimen for residents of long-term care with upper extremity dysfunction. Physiother Theory Pract. 2011 Apr;27(3):185-93. doi: 10.3109/09593985.2010.483267. Epub 2010 Aug 10. — View Citation

Hu B, Skou ST, Wise BL, Williams GN, Nevitt MC, Segal NA. Lower Quadriceps Rate of Force Development Is Associated With Worsening Physical Function in Adults With or at Risk for Knee Osteoarthritis: 36-Month Follow-Up Data From the Osteoarthritis Initiative. Arch Phys Med Rehabil. 2018 Jul;99(7):1352-1359. doi: 10.1016/j.apmr.2017.12.027. Epub 2018 Jan 31. — View Citation

Imoto AM, Peccin MS, Trevisani VF. Quadriceps strengthening exercises are effective in improving pain, function and quality of life in patients with osteoarthritis of the knee. Acta Ortop Bras. 2012;20(3):174-9. doi: 10.1590/S1413-78522012000300008. — View Citation

Jenkinson CM, Doherty M, Avery AJ, Read A, Taylor MA, Sach TH, Silcocks P, Muir KR. Effects of dietary intervention and quadriceps strengthening exercises on pain and function in overweight people with knee pain: randomised controlled trial. BMJ. 2009 Aug 18;339:b3170. doi: 10.1136/bmj.b3170. Erratum In: BMJ. 2010;340:c2088. — View Citation

Jones SW, Hill RJ, Krasney PA, O'Conner B, Peirce N, Greenhaff PL. Disuse atrophy and exercise rehabilitation in humans profoundly affects the expression of genes associated with the regulation of skeletal muscle mass. FASEB J. 2004 Jun;18(9):1025-7. doi: 10.1096/fj.03-1228fje. Epub 2004 Apr 14. — View Citation

Juhl C, Christensen R, Roos EM, Zhang W, Lund H. Impact of exercise type and dose on pain and disability in knee osteoarthritis: a systematic review and meta-regression analysis of randomized controlled trials. Arthritis Rheumatol. 2014 Mar;66(3):622-36. doi: 10.1002/art.38290. — View Citation

Khaled Takey ,Olfat A. Kandil, and, Shimaa N. Abo Elazm. Isokinetic quadriceps peak torque, average power and total work at different angular knee velocities of physical therapy for internal medicine its surgery and geriatrics , Basic Science Dept. 1, 2,3 Misr University for science and technology.

Kijowski R, Blankenbaker D, Stanton P, Fine J, De Smet A. Arthroscopic validation of radiographic grading scales of osteoarthritis of the tibiofemoral joint. AJR Am J Roentgenol. 2006 Sep;187(3):794-9. doi: 10.2214/AJR.05.1123. — View Citation

Knight KL. Quadriceps strengthening with the DAPRE technique: case studies with neurological implications. Med Sci Sports Exerc. 1985 Dec;17(6):646-50. doi: 10.1249/00005768-198512000-00004. — View Citation

Laferriere P, Lemaire ED, Chan ADC. Surface Electromyographic Signals Using Dry Electrodes. IEEE Trans Ins Meas 60(10): 3259- 3268, 2011.

Lange AK, Vanwanseele B, Fiatarone Singh MA. Strength training for treatment of osteoarthritis of the knee: a systematic review. Arthritis Rheum. 2008 Oct 15;59(10):1488-94. doi: 10.1002/art.24118. — View Citation

Lawrence RC, Felson DT, Helmick CG, Arnold LM, Choi H, Deyo RA, Gabriel S, Hirsch R, Hochberg MC, Hunder GG, Jordan JM, Katz JN, Kremers HM, Wolfe F; National Arthritis Data Workgroup. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum. 2008 Jan;58(1):26-35. doi: 10.1002/art.23176. — View Citation

Loeser RF Jr. Aging and the etiopathogenesis and treatment of osteoarthritis. Rheum Dis Clin North Am. 2000 Aug;26(3):547-67. doi: 10.1016/s0889-857x(05)70156-3. — View Citation

Lucca JA, Recchiuti SJ. Effect of electromyographic biofeedback on an isometric strengthening program. Phys Ther. 1983 Feb;63(2):200-3. doi: 10.1093/ptj/63.2.200. — View Citation

Lyons GM, Sharma P, Baker M, O'Malley S, Shanahan A, A computer game-based EMG biofeedback system for muscle rehabilitation. Proc 25th Annual International Conference of the IEEE Eng Med Biol Society, 2003, 2:1625 - 8.

MarketResearch.com,

Marks R. Knee osteoarthritis and exercise adherence: a review. Curr Aging Sci. 2012 Feb;5(1):72-83. doi: 10.2174/1874609811205010072. — View Citation

McAuley E, Jerome GJ, Elavsky S, Marquez DX, Ramsey SN. Predicting long-term maintenance of physical activity in older adults. Prev Med. 2003 Aug;37(2):110-8. doi: 10.1016/s0091-7435(03)00089-6. — View Citation

McCreadie C, Tinker A. The acceptability of assistive technology to older people. Ageing and Society 2005;25(1);91-110.

Murphy L, Helmick CG. The impact of osteoarthritis in the United States: a population-health perspective: A population-based review of the fourth most common cause of hospitalization in U.S. adults. Orthop Nurs. 2012 Mar-Apr;31(2):85-91. doi: 10.1097/NOR.0b013e31824fcd42. — View Citation

National Center for Chronic Disease Prevention and Health Promotion. Arthritis: Meeting the Challenge of living well (2013). Report available through: http://www.cdc.gov/chronicdisease/resources/publications/aag/pdf/2013/arthritis-aag-2013_508.pdf

Ng GY, Zhang AQ, Li CK. Biofeedback exercise improved the EMG activity ratio of the medial and lateral vasti muscles in subjects with patellofemoral pain syndrome. J Electromyogr Kinesiol. 2008 Feb;18(1):128-33. doi: 10.1016/j.jelekin.2006.08.010. Epub 2006 Oct 27. — View Citation

Ostir GV, Cohen-Mansfield J, Leveille S, Volpto S and Guralnik JM. The association of positive and negative affect and exercise self-efficacy in older adults. J Aging Phys Act 2003; 11: 265-74.

Parker E. A new approach to vision therapy based on naturalistic 3-D computer gaming. NEI: 5R44EY021079-04, 2013.

Parker E. A wireless EMG data collection and analysis system. NIAMS: 5R44AR047274-03, 2004.

Petersson IF, Boegard T, Saxne T, Silman AJ, Svensson B. Radiographic osteoarthritis of the knee classified by the Ahlback and Kellgren & Lawrence systems for the tibiofemoral joint in people aged 35-54 years with chronic knee pain. Ann Rheum Dis. 1997 Aug;56(8):493-6. doi: 10.1136/ard.56.8.493. — View Citation

Pisters MF, Veenhof C, Schellevis FG, Twisk JW, Dekker J, De Bakker DH. Exercise adherence improving long-term patient outcome in patients with osteoarthritis of the hip and/or knee. Arthritis Care Res (Hoboken). 2010 Aug;62(8):1087-94. doi: 10.1002/acr.20182. — View Citation

Piva SR, Fitzgerald GK, Irrgang JJ, Fritz JM, Wisniewski S, McGinty GT, Childs JD, Domenech MA, Jones S, Delitto A. Associates of physical function and pain in patients with patellofemoral pain syndrome. Arch Phys Med Rehabil. 2009 Feb;90(2):285-95. doi: 10.1016/j.apmr.2008.08.214. — View Citation

Przybylski AK, Weinstein N, Ryan RM, Rigby CS. Having to versus wanting to play: background and consequences of harmonious versus obsessive engagement in video games. Cyberpsychol Behav. 2009 Oct;12(5):485-92. doi: 10.1089/cpb.2009.0083. — View Citation

Rand D, Kizony R, Weiss PT. The Sony PlayStation II EyeToy: low-cost virtual reality for use in rehabilitation. J Neurol Phys Ther. 2008 Dec;32(4):155-63. doi: 10.1097/NPT.0b013e31818ee779. — View Citation

Rigby C and Przybylski A. Virtual worlds and the learner hero: How today's video games can inform tomorrow's digital learning environments. Theory and Research in Education. 2009; 7(2):214-23.

Rigby, CS, Ryan, RM. Glued to games: How video games draw us in and hold us spellbound. Santa Barbara: Praeger; 2011. 173

Risberg MA, Holm I, Tjomsland O, Ljunggren E, Ekeland A. Prospective study of changes in impairments and disabilities after anterior cruciate ligament reconstruction. J Orthop Sports Phys Ther. 1999 Jul;29(7):400-12. doi: 10.2519/jospt.1999.29.7.400. — View Citation

Ryan, RM, Rigby, CS, Przybylski, AK. Motivation pull of video games: A Self-determination theory approach. Motivation and Emotion 2006; 30:347-365.

Schutzer KA, Graves BS. Barriers and motivations to exercise in older adults. Prev Med. 2004 Nov;39(5):1056-61. doi: 10.1016/j.ypmed.2004.04.003. — View Citation

Taylor MJ, McCormick D, Shawis T, Impson R, Griffin M. Activity-promoting gaming systems in exercise and rehabilitation. J Rehabil Res Dev. 2011;48(10):1171-86. doi: 10.1682/jrrd.2010.09.0171. — View Citation

van Gool CH, Penninx BW, Kempen GI, Rejeski WJ, Miller GD, van Eijk JT, Pahor M, Messier SP. Effects of exercise adherence on physical function among overweight older adults with knee osteoarthritis. Arthritis Rheum. 2005 Feb 15;53(1):24-32. doi: 10.1002/art.20902. — View Citation

van Linschoten R, van Middelkoop M, Berger MY, Heintjes EM, Verhaar JA, Willemsen SP, Koes BW, Bierma-Zeinstra SM. Supervised exercise therapy versus usual care for patellofemoral pain syndrome: an open label randomised controlled trial. BMJ. 2009 Oct 20;339:b4074. doi: 10.1136/bmj.b4074. — View Citation

Vincent KR, Vincent HK. Resistance exercise for knee osteoarthritis. PM R. 2012 May;4(5 Suppl):S45-52. doi: 10.1016/j.pmrj.2012.01.019. — View Citation

Wasielewski NJ, Parker TM, Kotsko KM. Evaluation of electromyographic biofeedback for the quadriceps femoris: a systematic review. J Athl Train. 2011 Sep-Oct;46(5):543-54. doi: 10.4085/1062-6050-46.5.543. — View Citation

Witvrouw E, Callaghan MJ, Stefanik JJ, Noehren B, Bazett-Jones DM, Willson JD, Earl-Boehm JE, Davis IS, Powers CM, McConnell J, Crossley KM. Patellofemoral pain: consensus statement from the 3rd International Patellofemoral Pain Research Retreat held in Vancouver, September 2013. Br J Sports Med. 2014 Mar;48(6):411-4. doi: 10.1136/bjsports-2014-093450. No abstract available. — View Citation

Yelin E, Murphy L, Cisternas MG, Foreman AJ, Pasta DJ, Helmick CG. Medical care expenditures and earnings losses among persons with arthritis and other rheumatic conditions in 2003, and comparisons with 1997. Arthritis Rheum. 2007 May;56(5):1397-407. doi: 10.1002/art.22565. — View Citation

Yilmaz OO, Senocak O, Sahin E, Baydar M, Gulbahar S, Bircan C, Alper S. Efficacy of EMG-biofeedback in knee osteoarthritis. Rheumatol Int. 2010 May;30(7):887-92. doi: 10.1007/s00296-009-1070-9. Epub 2009 Aug 20. — View Citation

* Note: There are 75 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Change in Knee Injury and Osteoarthritis Outcome Score (KOOS)	The KOOS has 5 subscales: Symptoms, Pain, Sports, Activities of Daily Living (ADL) and quality of life (QOL). Each scale is expressed on a scale from 0-100 points where 100 = best perceived knee function and 0=worst perceived knee function. The outcome of this study is expressed as a change score from pre-post treatment where positive scores indicate an improvement on each KOOS subscale.	KOOS scores will be measured at baseline, day 1 and at the end of intervention, at 12 weeks.
Secondary	Change in Peak Torque of Thigh Muscles Strength Testing	Thigh muscle strength will be measured at baseline and follow up. Participants will be asked to perform thigh muscle (quadriceps / knee extension) contractions while measures of strength using a dynamometer (biodex system 4) are recorded. Participants will be asked to perform repeated, maximal muscle contractions to test knee extension muscle strength on the test limb (unilateral test, one thigh tested on each particiant). We recorded peak torque defined as the maximal torque achieved during knee extension contractions. The outcome score is expressed as a change in peak torque from pre-post treatment. Positive numbers indicate increases in strength.	Peak torque (muscle strength) will be measured at baseline, day 1 and at the end of intervention, at 12 weeks.

External Links

•   Brendon Hall group
•   KOOS Questionnaire
•   Senior center facts