Journal of Modern Rehabilitation 2016. 10(3):116-119.

Reliability of Knee Kinematic Parameters during Drop Jump Landing in Healthy Male Subjects
Hadi Gorganbeik, Nastaran Ghotbi, Mohammad Reza Hadian, Shohreh Jalaei, Seyed Mohsen Mir

Abstract


Introduction: Knee joint has the highest percentage of injuries among lower extremity joints especially in athletes and people with high activity levels. Therefore, analyzing of knee movements has an important area of research in the bioengineering and rehabilitation fields. Sharif human movement instrumentation system (SHARIF-HMIS) is a new inertial sensor designed for movement analysis. The purpose of this study was to determine the reliability of knee kinematic parameters using SHARIF-HMIS.
Material and Methods: A total of 25 healthy male subjects (aged 18-28 years) participated in this study. SHARIF-HMIS sensors were fixed with straps on dominant leg of the participants. Thereafter, they performed double leg drop jump landing from a box with a height of 30 cm. Linear acceleration and angular velocity were analyzed in initial contact phase. The test was performed 3 times at an interval of 1 hour. To assess the intra-rater reliability, intraclass correlation coefficient (ICC) and standard error of measurement (SEM) were calculated.
Results: ICC in X, Y and Z planes was 0.99, 0.80 and 0.97 for linear acceleration and 0.50, 0.79 and 0.74 for angular velocity, respectively. Furthermore, the SEM in X, Y and Z planes were 0.03, 0.19 and 0.14 for linear acceleration and 0.007, 0.009 and 0.01 for angular velocity, respectively.
Conclusion: This study showed good test-retest reliability of knee kinematic parameters during double leg drop jump landing. Hence, the use of SHARIF-HMIS as a new and portable device is suggested for assessing knee joint movements.
Keywords: Reliability; Knee kinematic; Sharif-Human movement instrumentation system; Acceleration; Angular velocity; Drop jump landing

Keywords


Reliability; Knee kinematic; Sharif-Human movement instrumentation system; Acceleration; Angular velocity; Drop jump landing

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References


Taunton JE, Ryan MB, Clement DB, McKenzie DC, Lloyd-Smith DR, Zumbo BD. A retrospective case-control analysis of 2002 running injuries. Br J Sports Med 2002; 36(2): 95-101.

Jordaan G, Schwellnus MP. The incidence of overuse injuries in military recruits during basic military training. Mil Med 1994; 159(6): 421-6.

Arendt E, Dick R. Knee injury patterns among men and women in collegiate basketball and soccer. NCAA data and review of literature. Am J Sports Med 1995; 23(6): 694-701.

Hewett TE, Myer GD. The mechanistic connection between the trunk, hip, knee, and anterior cruciate ligament injury. Exerc Sport Sci Rev 2011; 39(4): 161-6.

Kirkendall DT, Garrett WE, Jr. The anterior cruciate ligament enigma. Injury mechanisms and prevention. Clin Orthop Relat Res 2000; (372): 64-8.

Weissman S. Anthropometric photogrammetry. Photogrammetric Engineering 1968; 34(11): 1134-40.

Dawson EG, Kropf MA, Purcell G, Kabo JM, Kanim LE, Burt C. Optoelectronic evaluation of trunk deformity in scoliosis. Spine (Phila Pa 1976) 1993; 18(3): 326-31.

Robinson ME, O'Connor PD, Shirley FR, Mac MM. Intrasubject reliability of spinal range of motion and velocity determined by video motion analysis. Phys Ther 1993; 73(9): 626-31.

Hsiao H, Keyserling WM. A three-dimensional ultrasonic system for posture measurement. Ergonomics 1990; 33(9): 1089-114.

Tong K, Granat MH. A practical gait analysis system using gyroscopes. Med Eng Phys 1999; 21(2): 87-94.

Mokhlespour MI, Zobeiri O, Akbari A, Milani Y, Narimani R, Moshiri B, et al. Sharif-human movement instrumentation system (SHARIF-HMIS) for daily activities. Proceedings of 19th Iranian Conference of Biomedical Engineering (ICBME); 2012 Dec 20-21; Tehran, Iran.

Mokhlespour MI, Zobeiri O, Akbari A, Moshiri B, Parnianpour M. Wearable Human Movement Instrumentation System. Iran Biomed J 2014; 7(4): 361-9. [In Persian].

Favre J, Aissaoui R, Jolles BM, de Guise JA, Aminian K. Functional calibration procedure for 3D knee joint angle description using inertial

sensors. J Biomech 2009; 42(14): 2330-5.

Ekegren CL, Miller WC, Celebrini RG, Eng JJ, Macintyre DL. Reliability and validity of observational risk screening in evaluating dynamic knee valgus. J Orthop Sports Phys Ther 2009; 39(9): 665-74.

Marras WS, Parnianpour M, Ferguson SA, Kim JY, Crowell RR, Bose S, et al. The classification of anatomic- and symptom-based low back disorders using motion measure models. Spine (Phila Pa 1976) 1995; 20(23): 2531-46.

Duc C, Salvia P, Lubansu A, Feipel V, Aminian K. A wearable inertial system to assess the cervical spine mobility: comparison with an optoelectronic-based motion capture evaluation. Med Eng Phys 2014; 36(1): 49-56.

MATLAB Lecture 7. Signal Processing in MATLAB. Introduction to Symbolic Computation [Online]. [cited 2007 Jan 23]; Available from: URL: http://homepages.math.uic.edu/~jan/mcs320s07/matlec7.pdf

Mathur S, Eng JJ, Macintyre DL. Reliability of surface EMG during sustained contractions of the quadriceps. J Electromyogr Kinesiol 2005; 15(1): 102-10.

Ronchi AJ, Lech M, Taylor NF, Cosic I. A reliability study of the new Back Strain Monitor based on clinical trials.Conf Proc IEEE Eng Med Biol Soc 2008; 2008: 693-6.


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