Tracking upper limbs fatigue by means of electronic dynamometry

Rastreamento de fadiga de membros superiores por meio da dinamometria eletrônica

Seguimiento de fatiga de miembros superiores mediante dinamometría electrónica

Abstracts

This study aimed to identify useful electronic grip dynamometry parameters to track differences between trained (TR) and untrained (UT) participants, and between dominant (DO) and non-dominant (ND) limbs as a consequence of upper limbs muscle fatigue following 10 RM tests of the brachial biceps. This experimental study with transversal design involved 18 young adult males, of whom 9 were untrained and 9 were experienced in resistance training.Isometric grip force was evaluated (30 seconds long) previous and after 10RM tests by means of a G200 Model grip dynamometer with precision load cell (Biometrics(r)). Significant differences between initial and final measurements were found only for trained participants: Peak force for TR-DO (67.1 vs 55.5 kgf, p = .0277); Raw average for TR-DO (46.96 vs 42.22 kgf, p = .0464), and for TR-ND (40.34 vs 36.13 kgf, p = .0277). Electronic grip dynamometry efficiently identified upper limbs fatigue in trained participants, being raw average measurements the best parameter.

muscle strength dynamometer; muscle fatigue; hand strength; resistance training

Objetivou-se identificar parâmetros da dinamometria eletrônica de preensão palmar úteis para monitorar diferenças entre indivíduos treinados (TR) e não treinados (UT) e entre membros dominantes (DO) e não dominantes (ND) após indução de fadiga pelo teste de 10RM para bíceps braquial. Tratou-se de estudo experimental, transversal, envolvendo 18 homens adultos jovens, 9 não treinados e 9 experientes em treinamento resistido. Avaliou-se a força isométrica de preensão palmar (por 30 segundos) antes e após o teste de 10 RM por dinamômetro de preensão com célula de carga de precisão modelo G200 (Biometrics(r)). Houve diferença significativa entre valores iniciais e finais somente para treinados: Pico de força para TR-DO (67,1 vs 55,5 kgf, p = 0,0277); média bruta para TR-DO (46,96 vs 42,22 kgf, p = 0,0464) e para TR-ND (40,34 vs 36,13 kgf, p = 0,0277). A dinamometria eletrônica mostrou-se eficaz em identificar a fadiga de membros superiores nos participantes treinados, sendo a média bruta o melhor parâmetro.

dinamômetro de força muscular; fadiga muscular; força da mão; treinamento de resistência

El objetivo fue identificar los parámetros en la dinamometría electrónica de presión palmar para comprobar las diferencias en individuos entrenados (TR) y no entrenados (UT) y en miembros dominantes (DO) y no dominantes (ND) después de la fatiga inducida por la prueba de 10RM para bíceps braquial. Fue estudio experimental, transversal que incluyó 18 hombres adultos jóvenes, 9 no entrenados y 9 con experiencia en entrenamiento resistido. La fuerza isométrica de presión palmar (durante 30 segundos) después de la prueba de 10RM fue evaluada por dinamómetro de presión con célula de carga de precisión modelo G200 (Biometrics(r)). Fue encontrada significativa entre los valores iniciales y finales sólo para el grupo entrenados: fuerza máxima para TR-DO (67,1 vs 55,5 kgf, p = 0,0277); promedio bruto para TR-DO (46,96 vs 42,22 kgf, p = 0,0464) y para TR-ND (40,34 vs 36,13 kgf, p = 0,0277). El dinamómetro electrónico fue eficaz en la identificación de la fatiga de los miembros superiores en los participantes entrenados, con el mejor parámetro promedio bruto.

dinamómetro de fuerza muscular; fatiga muscular; fuerza de la mano; entrenamiento de resistencia

Introduction

Muscle fatigue is defined as an inability to maintain the force required for a specific movement over an extended period, although performance can usually be recovered following a period of rest (Allen, Lamb, & Westerblad, 2008; dos Santos, Dezan, & Sarraf, 2003; Edwards, 1981; Enoka & Stuart, 1992; Fitts, 1994; Garcia, Magalhães, & Imbiriba, 2004; Green, 1995; Santos et al., 2008). However, reduced muscular performance can also be observed even during sub maximal activity. A more appropriate definition would therefore be any decline in performance associated with muscular activity conducted at the initial intensity (Bigland-Ritchie, Cafarelli, & Vøllestad, 1985; Bogdanis, 2012; Simonson & Weiser, 1976).

Long-term exercise training can not only increase muscular strength, but also enhance the capacity of the muscle to resist fatigue, in both healthy and sick people (Bishop, Girard, & Mendez-Villanueva, 2011; Bogdanis, 2012; Hurley, Hanson, & Sheaff, 2011). In contrast, poor fitness or lack of exercise can increase susceptibility to fatigue (Bloomfield, 1997; Rimmer, Schiller, & Chen, 2012). The correct manipulation of different variables during resistance training can influence specific intracellular signalling pathways activation, hormonal and immunological responses and protein synthesis, hence determining final outcomes in accordance with the objectives of a training program (Spiering et al., 2008). These variables include intensity and load used in the training, rest period's duration between different exercises sets, the exercises order, the muscular action speed and other nutritional considerations.

One way to gauge the strength of the upper limbs is to use grip dynamometers. They may be hydraulic, mechanical, pneumatic or electronic. The hydraulic type has been most widely discussed in the literature, and is extensively used by practitioners during rehabilitation of the upper limbs (Caixeta, 2008). The gold standard for measuring hand strength is the Jamar hydraulic dynamometer, recommended by the American Society of Hand Therapists (ASHT) (Fernandes & Marins, 2011; Moreira, Godoy, & Junior, 2001). On the other hand, electronic instruments provide larger amounts of data through time with greater precision, and efforts have been made to combine different sources of information during measurements of muscular endurance (Oliveira, 2011; Reuter, Massy-Westropp, & Evans, 2011).

As one of the most relevant and well-studied muscle of the upper limbs, the brachial biceps is responsible for the movement of the hand towards upper trunk and head, and also participates in forearm supination, directly influencing spatial positioning of hand as well as affecting grip strength. Since many routine activities and postures involving grip tasks also require a synergic action of elbow flexor muscles, functional changes due to strength training and fatigue may affect hand strength and endurance.

In the light of the presented information, this research study aimed to identify useful electronic grip dynamometry parameters to track differences between trained and untrained participants, and between dominant and non-dominant limbs as a consequence of upper limbs muscle fatigue following 10 Repetition Maximum (RM) tests.

Methods

Characterization of the study

This was a randomized controlled study, approved by the Committee of Ethics in Research with Humans of the Federal University of Triangulo Mineiro (protocol number 2062 / 2011).

Participants

Participants consisted of 23 males aged 18-30 years, of whom 11 were untrained (control group) and 12 were practitioners of resistance training (trained group). They tested population consisted of university students and members of local gyms and sports clubs. The inclusion criteria employed were either (1) to have practiced weightlifting or other resistance exercises for the upper limbs for at least one year, and at least twice weekly (trained group), or (2) not to have practiced resistance exercises or weight training during the last six months or for more than six consecutive months in the last two years (untrained group). The exclusion criteria were: functional changes in the upper limbs, cardiopulmonary diseases or any other effects that might compromise the performance of diverse physical exercises; the use of hormonal supplements, having specific dietary requirements or being restricted in the intake of any particular energy substrate.

Procedures

The research was split into two phases. In an initial evaluation, the participants consented to voluntary participation, and completed a questionnaire with personal details, information on any previous personal or family morbidity, and any previous practice of physical activity, detailing the period, duration, and nature of the training undertaken. The volunteers were submitted to physical assessment including measurements of vital signs, total body mass, stature and skin fold thickness test. The 10 RM test was used to determine the local muscular strength and endurance involved in the flexion movement of the elbow and to induce upper limbs fatigue, and instrumental measurements were used to determine hand strength and endurance. During the last two tests, volunteers were familiarized with the employed procedures.

The second evaluation, conducted five to seven days after the first one, began with a warm-up procedure, followed (in sequence) by dynamometer grip measurements, 10 RM test, a further dynamometer grip measurement, and a relaxation procedure. A coin toss was used to randomize the first participant limb order assessment of each group (heads for dominant and tails for non-dominant limb). The following participants of each group alternated limb assessment order opposite to the latest one.

Prior to the 10 RM tests, volunteers were instructed verbally and visually on how the tests should be correctly performed. During the tests, intense verbal reminders and encouragement were provided by the researcher, always using the same standardized phrases established prior to the study beginning. In addition, all data collection was performed by the same researcher. Participants were advised not to consume stimulants on the days of the tests, as well as to have adequate sleep and not perform vigorous exercises on the day preceding the tests.

Anthropometrics

According to the recommendations of the American Society of Exercise Physiologists (ASEP), on the first day of the tests the participants were submitted to stature, total body mass, and skin fold measurements (Heyward, 2001). Evaluation of body composition employed an equation based on the sum of the tricipital, suprailiac, and abdominal folds, proposed for young Brazilian males (Guedes & Guedes, 1991).

Electronic grip dynamometry

Isometric hand strength and endurance were determined using an H500 Hand Kit that included a G200 Model dynamometer with precision load cell, and E-Link software (Biometrics Ltd). Two measurements of maximum isometric strength maintained for 30 seconds were made for each hand, separately, with the hand grip in position 2. The first measurement was performed prior to the 10 RM test, and the second after its completion. The volunteer remained seated, with shoulders adducted parallel to the trunk, elbows flexed at 90°, and forearms and fists in a neutral position, as recommended by ASHT (Fernandes, Bertoncello, Pinheiro, & Drumond, 2011). The following variables were determined: Peak force (kgf); Raw average (kgf); Peak-normalized Average Force (%), and Endurance (kgf/s). The endurance (or muscular resistance) was determined from the slope of the linear regression curve for the data obtained over 30 seconds, and therefore represented the amount of tension lost per time unit. A steeper curve was therefore indicative of greater loss of tension and lower muscular endurance.

10 repetition maximum test (10 RM)

The 10 RM test for flexion of the elbow was performed using the seated concentration curl movement for free weights, as described elsewhere (Evans, 2007). The participant remained seated, with legs half apart, and supported the distal posterior portion of the exercised arm on the inner face of the ipsilateral thigh, with shoulder aligned vertically and the elbow and forearm in supination. The volunteer was then required to raise the dumbbell in the direction of the shoulder. The standardized procedure was to perform a fluid movement, accompanied by the beat of a metronome at 1 Hz, with one movement cycle every three beats, hence allowing one second for the concentric action and two seconds for the eccentric return movement.

A general warm-up was performed for five minutes using a cycle ergometer, followed by a specific warm-up consisting of three series of 10 repetitions with increasing loads equivalent to 30, 50, and 75% of the estimated load for the 10 RM test. After that, a maximum of five attempts were conduced to 10 RM load identification, using increasing loads, and intervals of three to five minutes between each attempt, as suggested elsewhere (Brown & Weir, 2001). The 10 RM load was reached when participant performed not more than 10 fluid movements without any observable biomechanical compensation, at a speed that was in accordance with the frequency of the metronome. A slightly decrease in movement velocity was accepted in the last two repetitions, as long as the participant could perform each of them in less than 5 seconds without visible changes in the movement biomechanics. When participant tried heavier loads, but could not finish the 10 repetitions, we considered the former heaviest load properly performed as the 10 RM load. The 1, 2, and 5 kg dumbbells used were previously calibrated using a commercial mechanical balance (0.05 kg precision). Four measurements were made of each dumbbell and the bar with clips, and the value used was either the mode of the four attempts or the arithmetic mean (when there were two readings with one value and two readings with another value).

Data analysis

The normality of the data was evaluated using the Shapiro-Wilk test. The total sample set was divided into 4 subgroups: untrained dominant (UT-DO), untrained non-dominant (UT-ND), trained dominant (TR-DO), and trained non-dominant (TR-ND). Due to the sample size and the fact that most of the variables presented non-normal distributions, Mann-Whitney U-test was used to analyze inter-group differences, while Wilcoxon matched pairs test was used in the case of intra-group differences. Spearman rank correlation coefficient (ρ) was employed to determine the similarity between the pre-test values, obtained on the first day of the trial, and the values obtained during the main tests on the second day for the 10 RM loads and the Peak force values obtained in grip dynamometry. A significance level less than 5% was used, and the analyses were performed using Statistica 8.0 software (StatSoft Inc).

Results

From the 23 participants evaluated in a first moment, 18 were included in the study (9 UT and 9 TR). Of the TR participants, two desisted from continuing assessments in the second phase, and one was excluded due to recent lesion in one limb. In UT, one was excluded due to pain in the right fist during the 10 RM test, and one was excluded because he had practiced weight-training for 3 weeks, two months prior to the trial.

The groups were homogeneous in terms of age, vital signs (pulse rate, respiration rate, systolic pressure, and diastolic pressure), and height. However, there were significant differences for the variables: total body mass, body mass index (BMI), and percentage of subcutaneous fat. TR group presented greater body mass and higher BMI, which was probably due to a greater muscle mass, since they had smaller percentages of subcutaneous fat. Significant differences between them were also observed for 10 RM and Peak force values obtained for both hemi sides (DO and ND) (Table 1).

Table 1.
Initial characterization of the participants.

	Group UT			Group TR			p*
	Median	Upper quartile	Lower quartile	Median	Upper quartile	Lower quartile
Age (years)	22.00	26.00	19.00	22.00	29.00	20.00
Total body mass (kg)	68.73	71.93	64.35	82.05	98.95	74.05	.004509
Height (m)	1.73	1.75	1.70	1.74	1.81	1.69
Body mass index (kg/m2)	22.43	24.82	21.42	27.27	28.54	26.24	.009824
Percentage of fat (%)	20.22	27.66	8.26	13.6	19.56	10.44	.023466
Heart rate (bpm)	79.00	82.00	68.00	74.00	79.00	67.00
Respiration rate (ipm)	16.00	17.00	14.00	14.00	15.50	11.00
Systolic arterial pressure (mm Hg)	120.00	120.00	120.00	125.00	135.00	115.00
Diastolic arterial pressure (mm Hg)	80.00	80.00	80.00	80.00	85.00	70.00
Training period (years)	-	-	-	3.00	8.00	1.00	-
10 RM DO (kgf)	8.72	8.85	8.00	15.25	19.02	10.68	.000237
10 RM ND (kgf)	8.66	8.73	7.50	14.98	15.78	12.93	.001129
Peak force dynamometry DO (kgf)	40.90	48.00	31.80	67.10	76.30	44.90	.003017
Peak force dynamometry ND (kgf)	35.30	46.00	32.10	54.50	62.90	48.00	.000848

• UT: untrained; TR: trained; *Mann-Whitney U-test, values significant at p < .05.

Spearman rank correlation coefficient was used to compare the results of the preliminary and main experiments in terms of the 10 RM and Peak force values. Ten RM results showed correlation coefficients greater than .83 for both groups, while dynamometry values showed greater variability, especially in the case of UT group (Table 2).

Table 2.
Median values and statistical correlation between the values obtained in the preliminary and main tests for maximum grip dynamometry and the 10 RM test applied to the brachial biceps muscle.

	Peak force dynamometry (kgf)			10 RM (kg)
	Pre-test	Main test	ρ	Pre-test	Main test	ρ
UT DO	44	40.9	.07	8.6	8.72	.83*
UT ND	38	35.3	.07	7.9	8.66	.97*
TR DO	52	67.1	.55	14.39	15.25	.98*
TR ND	50	54.5	.20	14.79	14.98	.84*

• RM: repetition maximum; UT: untrained; TR: trained; DO: dominant; ND: nondominant; ?: Spearman rank correlation coefficient; *: p < .05.

Final values were significantly lower than initial values in the case of the Peak force of TR-DO group and the Raw average of TR-DO and TR-ND groups. The TR group presented higher values for the Peak force and the Raw average, both before and after 10 RM test, and for both DO and ND limbs. Prior to 10 RM test, UT-ND group showed better endurance than TR-ND group, but no significant differences were observed after the test. No differences were observed between groups, before or after 10 RM tests, for the Peak-normalized 30s average value (Figure 1).

Figure 1.
Analysis of the four dynamometry variables evaluated among the four subgroups before and after induced fatigue in upper limbs. UT: untrained; TR: trained; DO: dominant; ND: non-dominant; Significant intragroup differences: Peak force TRDO (p = .027709); Raw average TRDO (p = .046400) and TRND (p = .027709). Significant intragroup differences before fatigue: Peak force TRDO / UTDO (p = .003017) and TRND / UTND (p = .000848); Raw average TRDO / UTDO (p = .005031) and TRND / UTND (p = .005031); Endurance TRND / UTND (p = .017236). Significant intragroup differences after fatigue: Peak force TRDO / UTDO (p = .009824) and TRND / UTND (p = .009824); Raw average TRDO / UTDO (p = .014172) and TRND / UTND (p = .028187).

Discussion

Grip strength and Peak force behaviour have been extensively studied using a variety of different dynamometer types; however, the evaluation of endurance indicators obtained using grip dynamometry has not yet been standardized, which hinders comparisons between various studies. In addition, no previous studies were found comparing grip strength and endurance measurements obtained before and after 10 RM tests applied to the upper limbs, considering dominant and non-dominant sides as well as the influence of resistance training.

It has been found previously that there is no need to perform three repetitions (as recommended by ASHT for evaluation of maximum grip strength), instead of a single repetition. The use of a single repetition was found to be reliable, and also helps to minimize the effects of fatigue and discomfort, as well as optimizing the required evaluation time (Coldham, Lewis, & Lee, 2006; Lagerstrom & Nordgren, 1998; Massy-Westropp, Rankin, Ahern, Krishnan, & Hearn, 2004). For this reason, only a single attempt was used here (after prior familiarization with the technique).

Initially, TR participants presented greater levels of strength, compared to the UT individuals, and neither group showed any differences between the DO and ND sides. Significant reductions in strength parameters (Peak force and Raw average) after the 10 RM test were only observed in the case of the TR volunteers (groups TR-DO and TR-ND). Reductions in Raw average values were observed for both subgroups, while the Peak force values were lower for subgroup TR-DO. It was also observed that performance of 10 RM tests did not alter endurance values, and that prior to the 10 RM tests there was difference only between TR and UT in the case of ND side.

The lower Raw average for the TR-ND group, without changes in Peak force, could be indicative of greater endurance deterioration in this group, compared to DO group, in which there were reductions in both Peak force and Raw average, although maximum strength remained unchanged.

The lack of any difference between initial and final values for UT could be explained by the fact that less well-trained muscles have greater propensity for sub maximal activation, compared to trained muscles, resulting in a smaller number of fatigued fibres, and the ability to maintain a similar load at the end of the test (Behm, Whittle, Button, & Power, 2002; Bogdanis, 2012; Nordlund, Thorstensson, & Cresswell, 2004; Racinais et al., 2007). This behaviour could suggest that TR group, and especially the dominant limb, might be better adapted to load activities, rather than those requiring endurance when compared to the UT group.

Differences between DO and ND sides were not found for either UT or TR group. The DO side is generally stronger than the ND side, even after effort. However, here only the TR group exhibited this trend [p = 0.095965 (before) and 0.078170 (after)]. Most studies have reported differences in grip strength on the order of 3.2-10%, especially in the case of right-handed people, while left-handed have shown differences of only around 1%, or have even shown greater strength in the right-hand limb (Adedoyin et al., 2009; Amosun, Moyo, & Matara, 1995; Crosby & Wehbé, 1994; Hanten et al., 1999; Petersen, Petrick, Connor, & Conklin, 1989; Roberts et al., 2011; Schmidt & Toews, 1970; Shechtman, Davenport, Malcolm, & Nabavi, 2003). The present study did not consider handedness, but rather dominant and non-dominant limbs, while only two volunteers of the UT group were left-handed. Bohannon (1997) and Günther, Bürger, Rickert, Crispin, and Schulz (2008) did not find any significant differences in grip strength when the effect of laterality was taken into consideration, which corroborates with the present findings. The right-hand limb was generally stronger than the left-hand, although participants presented somewhat higher values for the dominant side. The hypothesis that there might be a difference between the DO and ND limbs, and that this might be reduced following resistance training (especially employing simultaneous bilateral exercises), could not be confirmed because UT group showed no significant difference.

Studies comparing the effect of fatigue on grip strength have often considered the rest period influence between successive attempts (Bechtol, 1954; Fairfax, Balnave, & Adams, 1997; Hanten et al., 1999; Mathiowetz, 1990; Montazer & Thomas, 1991; Reddon, Stefanyk, Gill, & Renney, 1985; Shechtman et al., 2003; Trossman & Li, 1989). A wide range of methodologies has been employed, but the validity and reliability of these measurements have been little discussed. Measurements commonly employed include the ability to sustain sub maximal loads, between 20 and 80% of maximum strength, for the longest time possible, as well as strength deterioration indices measured before and after consecutive contractions (Jones, Robertson, & Figoni, 2009; Reuter et al., 2011; Wallström & Nordenskiöld, 2001). In the present work, the slope of the regression curve was used to represent the deterioration in the force produced during a single measurement.

Using 10 s contractions, Massy-Westropp et al. (2004) found that left-handed people presented fatigue indices that were more similar between the two sides, and also showed greater endurance in both hands, compared to right-handed individuals. Using three isometric resistance maximum attempts, Luna-Heredia, Martín-Peña, and Ruiz-Galiana (2005) found that the non-dominant limb showed greater reduction in maximum strength, compared to the dominant limb. Desrosiers, Bravo, and Hébert (1997) showed that in an elderly population there was a tendency for the dominant limb to show greater endurance, compared to the non-dominant limb, in tests where measurements were made of the number of seconds that participants could maintain 50% of maximum grip strength. They were provided with verbal stimulation and feedback, and the measurements employed a hydraulic Jamar dynamometer. Chatterjee and Chowdhuri (1991) compared the endurance of men of different ages, and demonstrated that the right hand was more resistant than the left hand in tests where identical loads were required to be sustained for the longest possible time. In relative terms, the weaker left hand was therefore required to maintain a greater tension than the right hand. As in the present work, the sample population was mainly composed of right-handed individuals.

The work of Nicolay and Walker (2005) was one of the reported studies most similar to the present investigation. The static endurance during 30 s was evaluated for the dominant and non-dominant limbs of healthy non-sedentary young individuals (although no reports of physical activities were provided). Endurance measure considered the ratio between the forces measured during the last and first seconds. It was found that the dominant side presented worse endurance than the non-dominant side, which partially conflicts with the present findings, where no difference was observed between the endurance of the dominant and non-dominant sides, according to the slope of the linear regression curve obtained over a period of 30 s. Here, after exhaustive testing, the TR-ND group only showed a reduction in the Raw average, while the TR-DO group showed reductions in the maximum strength, as well as the Raw average, suggesting that the ND side became less resistant than the DO side after strenuous exercise.

No studies describing the effect of training on grip endurance were found in the literature. Jakobsen, Rask, and Kondrup (2010) evaluated the muscular endurance of healthy individuals and hospital patients, using 70% maximum of grip force maintained for as long as possible. It was found that the endurance of patients was lower than that of the healthy individuals, and that healthy men showed lower endurance, compared to healthy women, probably due to greater participation in high-intensity activities, such as resistance training. In the present work, only the UT-ND group showed a significant difference (greater endurance) relative to the TR-ND group. The lack of any difference between initial and final values obtained for the Peak force and the Raw average was also indicative of better relative endurance of individuals in the UT group, compared to the TR group.

It was expected that young trained men would show greater grip endurance compared to the untrained volunteers due to the necessity of forearm muscles to sustain isometric actions to stabilise free-weights and bars during resistance training protocols (only one participant in the TR group reported the occasional performance of specific exercises for forearm muscles). Other studies have also found no differences in endurance between stronger and weaker individuals, although no specific types of training were considered, and some of the investigations employed hospitalized patients (Chatterjee & Chowdhuri, 1991; Desrosiers et al., 1997; Nwuga, 1975; Robertson, Mullinax, Brodowicz, & Swafford, 1996).

A limitation of this investigation was that the researchers had no direct control over training variables undertaken by the participants. Information was obtained by means of interviews, and was sometimes subjective, as in the case of speed of movement and perceived load. Since there is no consensus concerning endurance tests performed using electronic dynamometers, endeavours were made to clearly and precisely describe all procedures. In this sense, it is also important to summarize the positive aspects of the present study. Using portable devices, the combination of 10RM tests and electronic grip dynamometry may be especially advantageous in the design and evaluation of athletes training and rehabilitation programs, providing an easy way to assess patients' physical fitness, to monitor rehabilitation improvements or fatigue-related changes during different tasks.

Nonetheless, further studies are recommended to compare the behaviours of the evaluated parameters, with more volunteers (larger samples), as well as other variables that have been described in the literature, in the light of specific training protocols whose purpose is to increase muscular strength, endurance, or motor skills.

Conclusions

Resistance training seems to induce observable changes in electronic grip dynamometry readings. Few differences were found regarding dominance. As expected, trained participants are stronger. But they also showed great decrements in grip tension after the 10RM protocol used to induce fatigue. Electronic grip dynamometry was capable to efficiently identify fatigue-related upper limbs changes in trained participants, and raw average measurements were the best parameter compared to peak force, peak-normalized average or endurance measurements.

Acknowledgments

CAPES, CNPq, FAPEMIG and FUNEPU. This paper is part of a dissertation.

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• Fernando Max Lima is a PhD student, Faculty of Electrical Engineering, graduate program in electrical engineering, Federal University of Uberlandia (FEELT / PPGEE / UFU) (University Federal de Uberlândia).
• Luciane Fernanda Rodrigues Martinho Fernandes and Dernival Bertoncello are adjunct professors, Health Sciences Institute, Department of Applied Physical Therapy, Graduate Program in Physical Education, Federal University of Triangulo Mineiro (ICS / DFisio / PPGEF / UFTM) (Universidade Federal do Triangulo Mineiro, Uberaba).

Publication Dates

• Publication in this collection
  Apr-Jun 2015

History

• Received
  15 Nov 2014
• Accepted
  02 May 2015