ASSESSMENT OF NEURO-MUSCULAR ACTIVITY DURING A SUBMAXIMAL LOAD ERGOMETRICAL TEST
Keywords:
neuromuscular system, electromyography (EMG), neuromuscular activity during cycling (pedaling)Abstract
Cycling is not a simple movement. The assessment of neuromuscular activity during an ergometric test
with submaximal load using electromyography provides us with a detailed analysis of the muscles participating in
this specific movement. A pedaling cycle consists of extension (stretching) and flexion (bending) at the knee joint,
so different muscles are activated at separate times.
The aim of this research is to observe muscle activity during cycling through electromyography. The parameters of
muscle activity during cycling through the Astrand 6 minute Cycle Test are analyzed and arguments are presented
for the application of the test in sports activities in six untrained women aged between 19 and 24 years. The test
itself consists of 10 minutes of warm-up, 6 minutes of loading and 5 minutes of recovery. Warm-up for 10 minutes:
with initial power 25 W, speed 60 revolution per minute. Load for 6 minutes: 2 minutes after heating 60 revolution
per minute, the power is adjusted. Recovery 5 minutes: power 25 W and 60 revolutions per minute. Metabolic
indicators (blood pressure, pulse) and anthropometric data were recorded. Of all the muscles that participate in one
cycle of cycling (pedaling), we have chosen some of them in our work: 1. Vastus lateralis; 2. Rectus femoris; 3.
Semitendinosus; 4. Biceps femoris long head; 5. Gastrocnemius lateralis; 6. Tibialis anterior - the six
examined muscles of the right leg. The presented data prove the role of functional studies of neuromuscular activity,
that is, the neuromuscular response, registered by an electromyograph during physical activity, during cycling. For
this purpose, the results of the amplitudes registered on the electromyograph are normalized in order to compare the
muscle activities of the subjects. Mean amplitudes are presented in a normalized form (relative to each value of the
mean amplitude to the mean amplitude since the start of the warm-up). This means that each value (amplitude) is
divided by the first value (amplitude), so the first value is divided by itself, so the values start from 1. The purpose
of normalization is to reduce the difference in the data and get a better electromyographic (EMG) ) – review. That's
why we chose the dominant limb (right leg). In addition, during the test, the work of the heart can be observed as
well as other parameters.
References
Гавријски, В., Стефанова, Д., Киселкова, Е,. & Бичев, К. (2006). Физиологија на човека со физиологија на спорта III. Нови знания Софија.
Пенчева, Н. (2008). ЕКГ-Електрокардиографија, ЕЕГ-Електроенцефалогарфија, ЕМГ-Електромиографија, Благоевград.
Basmajian, J.V., & Deluca, C.J. (1995). Muscles alive. Their functions revealed by electromyography
(5th edition).
Hug F., & Dorel S. (2009) Electromyographic analysis of pedaling. Jurnal of Electromyography and Kineziology 19: 182-189 , France.
Gonzalez, M., Malanda, A., Amezqueta, I.N., Gorostiaga, E.M., & Mallor, F. (2010). EMG spectral and muscle power Fatigu during dynamic contractions. Jurnal of Electromiography and Kinesiology 20:333-3240
Stegman, D.F., Blok, J.H., Hermens, H.J., & Roelveld, K. (2000). Surface EMG models: properties and applications. Jurnal of Electromiography and Kinesiology 10:313-326
Swain, R. (1994). Target HR for the development of CV fitness. Medicine & Science in Sports & Exercise, 26 (1), p. 112-116
Córdoval, A., Nuin, I., Fernández, D.L., Latasa, I., & Rodríguez, J.F., (2017). Electromyographic (EMG) activity during pedalling, its usefulness in diagnosing fatigue in cyclists
Wang, L., Wang, Y., Ma, A., Ma, G., Ye, Y., Li, R. & Lu, T. ( 2018). A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during ll-Out Cycling Exercise
Cycling Exercise Jurasz , M., Boraczyński, M., Wójcik, Z. and Gronek, P. (2022). Neuromuscular Fatigue Responses of Endurance- and Strength-Trained Athletes during Incremental
Hug, F., & Dorel,S. (2018). Electromyographic analysis of pedaling
Rothschild, J.A., Islam, H., Bishop, D.J., Kilding, A.E., Stewart, T. & Plews, D.J. (2021). Factors Influencing AMPK Activation During Cycling Exercise: A Pooled Analysis and Meta-Regression.