Analysis of characterizing phases on waveforms: An application to vertical jumps

Journal of Applied Biomechanics

Volumn 30, Issue 2, 2014, Pages 316-321

  Richter, Chris ^a,b,c   O'Connor, Noel E ^b   Marshall, Brendan ^a,c   Moran, Kieran ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

^b CLARITY: Centre for Sensor Web Technologies   (Ireland)

^c Sports Surgery Clinic Santry Demesne ^*  (Ireland)

Author keywords

Analysis of characterizing phases; Countermovement jump; Motion analysis; Performance related factor

Indexed keywords

FACTOR ANALYSIS;

ANALYSIS APPROACH; ANALYSIS OF CHARACTERIZING PHASES; COUNTERMOVEMENT; DISCRETE POINTS; FORCE CURVE; MOTION ANALYSIS; PERFORMANCE-RELATED FACTOR; RATE OF FORCE DEVELOPMENT;

TIME DOMAIN ANALYSIS;

ADULT; ANALYSIS OF CHARACTERIZING PHASE; ARTICLE; CLINICAL ARTICLE; DATA ANALYSIS; GROUND REACTION FORCE; HEIGHT; HUMAN; JUMPING; LEG INJURY; MALE; PERFORMANCE; TIME; WAVEFORM; ATHLETIC PERFORMANCE; BIOMECHANICS; EXERCISE; LEG; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; SIGNAL PROCESSING; TASK PERFORMANCE; YOUNG ADULT;

ATHLETIC PERFORMANCE; BIOMECHANICAL PHENOMENA; HUMANS; LEG; MALE; MOVEMENT; PHYSICAL EXERTION; SIGNAL PROCESSING, COMPUTER-ASSISTED; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

EID: 84896495421     PISSN: 10658483     EISSN: 15432688     Source Type: Journal    
DOI: 10.1123/jab.2012-0218     Document Type: Article

References (21)

1. Chau T. A review of analytical techniques for gait data. part 1: Fuzzy, statistical and fractal methods. Gait Posture. 2001;13(1):49-66. PubMed doi:10.1016/S0966-6362(00)00094-1
2. Chau T. A review of analytical techniques for gait data. part 2: Neural network and wavelet methods. Gait Posture. 2001;13(2):102-120. PubMed doi:10.1016/S0966-6362(00)00095-3
3. Ramsay JO, Silverman BW. Applied functional data analysis: Methods and case studies. 1st ed. New York, NY: Springer Verlag; 2002.
4. Donà G, Preatoni E, Cobelli C, Rodano R, Harrison AJ. Application of functional principal component analysis in race walking: An emerging methodology. Sports Biomech. 2009;8(4):284-301. PubMed doi:10.1080/ 14763140903414425
5. Ramsay JO. Functional data analysis. 2nd ed. New York, NY: Springer Verlag; 2006.
6. Donoghue OA, Harrison AJ, Coffey N, Hayes K. Functional data analysis of running kinematics in chronic achilles tendon injury. Med Sci Sports Exerc. 2008;40(7):1323-1335. PubMed doi:10.1249/MSS.0b013e31816c4807
7. Newell J, McMillan K, Grant S, McCabe G. Using functional data analysis to summarise and interpret lactate curves. Comput Biol Med. 2006;36(3):262-275. PubMed doi:10.1016/j.compbiomed.2004.11.006
8. Godwin A, Takahara G, Agnew M, Stevenson J. Functional data analysis as a means of evaluating kinematic and kinetic waveforms. Theor Issues Ergon Sci. 2010;11(6):489-503. doi:10.1080/14639220903023368
9. Harrison A, Ryan W, Hayes K. Functional data analysis of joint coordination in the development of vertical jump performance. Sports Biomech. 2007;6(2):199-214. PubMed doi:10.1080/14763140701323042
10. Ryan W, Harrison A, Hayes K. Functional data analysis of knee joint kinematics in the vertical jump. Sports Biomech. 2006;5(1):121-138. PubMed doi:10.1080/14763141.2006.9628228
11. Cormie P, McBride JM, McCaulley GO. Power-time, force-time, and velocity-time curve analysis of the countermovement jump: Impact of training. J Strength Cond Res. 2009;23(1):177-186. PubMed doi:10.1519/JSC.0b013e3181889324
12. Dowling JJ, Vamos L. Identification of kinetic and temporal factors related to vertical jump performance. J Appl Biomech. 1993;9(4):95-110.
13. Morrissey MC, Harman EA, Frykman PN, Han KH. Early phase differential effects of slow and fast barbell squat training. Am J Sports Med. 1998;26(2):221-230. PubMed (Pubitemid 28157977)
14. Newton RU, Kraemer WJ, Häkkinen K. Effects of ballistic training on preseason preparation of elite volleyball players. Med Sci Sports Exerc. 1999;31(2):323-330. PubMed doi:10.1097/00005768-199902000-00017
15. Petushek E, Garceau L, Ebben W. Force, velocity, and power adaptations in response to a periodized plyometric training program. International Symposium of Biomechanics in Sports. 2010;28(1):262-265.
16. Sheppard JM, Cronin JB, Gabbett TJ, McGuigan MR, Etxebarria N, Newton RU. Relative importance of strength, power, and anthropometric measures to jump performance of elite volleyball players. J Strength Cond Res. 2008;22(3):758-765. PubMed doi:10.1519/JSC.0b013e31816a8440
17. Jolliffe IT. Principal component analysis. 2nd ed. New York, NY: Springer Verlag; 2002.
18. Daffertshofer A, Lamoth CJC, Meijer OG, Beek PJ. PCA in studying coordination and variability: A tutorial. 2004:19(4):415-428.
19. Eilers PHC, Marx BD. Flexible smoothing with B-splines and penalties. Stat Sci. 1996;11(2):89-121. doi:10.1214/ss/1038425655 (Pubitemid 126706128)
20. Richter C, McGuinness K, O'Connor NE, Moran K. The variance needed to accurately describe jump height from vertical ground reaction force data. J Appl Biomech. 2014. In Press. doi: http://dx.doi.org/10.1123/jab.2013-0313
21. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum; 1988.