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Kinematical and Muscular Fatigue in Swimmers

Analysis of Kinematical and Muscular Fatigue in Long Distance Swimmers

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06069440
Enrollment
23
Registered
2023-10-05
Start date
2022-02-01
Completion date
2023-08-01
Last updated
2023-10-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Keywords

muscle fatigue, Neuromuscular Strategy, performance, sEMG, swimming

Brief summary

During a submaximal task, gradual muscle fatigue occurs, which inevitably results in a decline in performance (mechanical failure). Elite athletes are known to employ unconscious compensatory strategies during fatiguing submaximal tasks in an attempt to delay the onset of mechanical failure as long as possible. The purpose of this study was to gain valuable insight into the strategies used by elite swimmers to cope with mechanical failure. Twenty-two swimmers were subjected to a swim test consisting of swimming as long as possible at a predetermined and controlled pace. A light strip positioned at the bottom of the pool allows athletes to get feedback on which gait to keep. The kinematics (stroke rate, stroke length, and efficiency index) and electrical activity of 10 muscle groups were analyzed and compared at the beginning of the test (non-fatiguing conditions), just before the athlete lost the ability to maintain the predetermined pace (pre-mechanical failure), and after the athlete lost the ability to maintain the pace (mechanical failure). It is hypothesized that as fatigue becomes more pronounced and the point of inability to maintain a predetermined speed is approached, increased EMG activity will occur in key muscles while other muscle groups may show more obvious signs of fatigue. In addition, changes in the rhythm and coordination of upper limb movements may occur.

Interventions

OTHERSwimming Fatigue Task

Swim freestyle at a steady, controlled pace until mechanical failure (i.e., inability to maintain the predetermined speed) is reached.

Sponsors

Universita degli Studi di Genova
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
16 Years to 24 Years
Healthy volunteers
Yes

Inclusion criteria

1. Middle- or long-distance swimmer specializing in front crawl 2. At least 3 years of experience in international competition 3. Daily use of flashing light for pace control in aerobic, anaerobic threshold and maximum oxygen consumption training.

Exclusion criteria

1\) Presence of muscle pain or soreness that could prevent the athlete from performing at their best

Design outcomes

Primary

MeasureTime frameDescription
Kinematic parametersup to 10 minutesstroke frequency (time required to complete a stroke cycle)
Superior Trapezius muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Flexor Carpi Radialis muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Biceps Brachii muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Triceps Brachii caput lateralis muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Deltoideus Lateralis muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Latissimus Dorsi muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Erector Spinae muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Pectoralis Major pars clavicularis muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Rectus Femoris muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)
Biceps Femoris muscle activityup to 10 minutesElectromyographic signal analysis (Root Mean Square)

Secondary

MeasureTime frameDescription
Biceps Brachii muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Triceps Brachii caput lateralis muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Deltoideus Lateralis muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Latissimus Dorsi muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Superior Trapezius muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Erector Spinae muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Pectoralis Major pars clavicularis muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Rectus Femoris muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Biceps Femoris muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal
Flexor Carpi Radialis muscle fatigueup to 10 minutestime-course evolution of the median frequency of the power density spectrum (MF \[Hz\]) of the sEMG signal

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 8, 2026