title: An EMG comparative analysis of quadriceps during isoinertial strength training using nonlinear scaled wavelets.
abstract: High-speed resistance training is used to increase power; however, momentum can reduce the effectiveness of high-speed (HS) training when using weight-stack (WS) machines. This study used a non-linear scaled wavelet analysis to assess differences between pneumatic (P) and WS during seven HS or controlled speed (CS) repetitions. Vastus medialis (VM) and lateralis (VL), and rectus femoris (RF) EMG data were collected during leg extension exercises performed by five regular weight-trainers (mean age ± SD, 23.2 ± 2.9 years). Data were analyzed using continuous wavelet analysis to assess temporal Intensity distribution across eight frequency bands. Significant differences occurred due to speed for all muscles (p<.0001). P produced higher Intensity than WS for all muscles during HS (p<.0001), and VM and RF during CS (p<.001). The CON phase produced higher Intensity than ECC for the vasti muscles during CS (p<.0003), and VM and RF during HS (p<.0001). Intensity increased across repetitions plateauing earlier for the vasti than RF during CS. Regardless of the machine, Intensity levels peaked between the 25-53 Hz and 46-82 Hz (2nd and 3rd wavelets) bands. The results indicate that when the objective is increasing power through isoinertial training, P machines at HS appear to be the most effective alternative.
authors.affiliation: Department of Kinesiology and Sport Sciences, University of Miami, 1507 Levante Ave, Max Orovitz Rm 114, Coral Gables, FL 33146, USA; Department of Systems and Information Engineering, University of Virginia, 151 Engineer's Way, P.O. Box 400747, Charlottesville, VA 22904-4747, USA.
authors.forename: Nicholas J
authors.initials: NJ
authors.lastname: Napoli
authors.affiliation: Department of Biomedical Engineering, University of Miami, 1251 Memorial Drive, McArthur Engineering Annex #219A, Coral Gables, FL 33146-0621, USA; School of Environmental Health and Radiological Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO 80523-1681, USA.
authors.forename: Anthony R
authors.initials: AR
authors.lastname: Mixco
authors.affiliation: Department of Biomedical Engineering, University of Miami, 1251 Memorial Drive, McArthur Engineering Annex #219A, Coral Gables, FL 33146-0621, USA.
authors.forename: Jorge E
authors.initials: JE
authors.lastname: Bohorquez
authors.affiliation: Department of Kinesiology and Sport Sciences, University of Miami, 1507 Levante Ave, Max Orovitz Rm 114, Coral Gables, FL 33146, USA; Center on Aging, Miller School of Medicine, University of Miami, 1600 NW 10th Ave #1140, Miami, FL 33136, USA. Electronic address: jsignorile@miami.edu.
authors.forename: Joseph F
authors.initials: JF
authors.lastname: Signorile
mesh_terms: D000328:Adult; D004576:Electromyography / Q000379:methods*; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D009068:Movement; D009119:Muscle Contraction; D018763:Muscle Fatigue / Q000502:physiology; D052097:Quadriceps Muscle / Q000502:physiology*; D055070:Resistance Training; D058067:Wavelet Analysis; D055815:Young Adult
keywords: Pneumatic resistance training; Power training; Time–frequency analysis; Wavelet analysis