ability to generate strength and withstand great efforts, as well as their executive and cognitive function
5
. Therefore, trainers and
clinicians use different tools to monitor the internal and external loads of training
6,7
. However, among the plenty monitoring methods, RPE
is a widespread and well-known resource, accepted for its convenience, easy application, and low cost
8–10
to measure internal load. RPE,
commonly measured using the Borg scale, gauges effort and discomfort during exercise
8
. Research consistently validates its accuracy in
estimating physiological effort, especially in aerobic exercise
9,11
.
Recent evidence supports the validity of the Borg RPE scale in accessing internal load during resistance exercises
12
. However,
in an exercise environment with multiple influencing factors (e.g., exercise type, practitioner's level of experience, practitioner's
understanding of RPE), RPE's validity can be compromised, challenging its use for intensity monitoring
9
. Hence, additional studies are
necessary to validate the RPE
1
for specific strength training methods
12
, diverse populations (e.g., older adults, non-athletes), and
exercises (e.g., more complex, isolated)
9,13,14
. Although RPE may be an alternative approach to monitoring internal load during strength
training due to its easy implementation, fast application, and avoidance of maximal efforts, it is essential to state that these
recommendations are based on a few studies with older adults
1
. Furthermore, some studies
10,14
show that RPE assessment has been
used to assess effort throughout an exercise session and is a valid and reliable indicator for monitoring the overall intensity of resistance
training sessions. This involves providing a global rating of the effort level for the entire training session rather than reporting acute RPE
measurements for each exercise within a session. It appears reasonable to assume that performing a single exercise, particularly if it
involves single-joint movements, might engage fewer muscle groups and potentially elicit a lower level of effort, which may not be
accurately perceived by the participant and precisely measured using the Borg RPE scale. Nevertheless, further investigation is required
to substantiate this assumption.
A novel resistance training method, voluntary co-contraction, has been developed and presented sufficient muscle recruitment
to effectively enhance strength
15-17
and muscular hypertrophy
17,18
. This method involves simultaneous voluntary contractions of
antagonist pairs of muscles (e.g., simultaneous contraction of elbow flexors and extensors muscles) without external devices
18
. Since
voluntary co-contraction demands an organization of excitatory motor commands so that the muscles themselves produce resistive
forces that act against each other
19
, it is possible that it may pose challenges related to factors such as age, level of experience, and
training
20
. Moreover, currently, there is no available tool to verify the intensity of co-contraction training other than assessing muscle
activation during the training; unlike conventional resistance training, which can be accessed using methods such as RPE
12
and
percentage of one-repetition maximum
21
. To date, no RPE scale has been specifically designed and validated for co-contraction training.
To verify if RPE effectively measures resistance training intensity, it is crucial to investigate its correlation with physiological and
performance parameters
13
, such as heart rate, total weight lifted, and EMG activity. Some methods of monitoring resistance exercise
intensities through external load require expensive equipment such as dynamometers and surface EMG recording
12
. EMG is widely
applied in medical, neuroscience, and sports science areas
22
to assess muscle activity based on the electric potential detected from
muscle fibers' transmembrane current (muscle excitation)
23
. This allows us to measure the intensity of the exercise based on the values
of muscle activity, although with high equipment cost, time-consuming protocols
12
, and technical knowledge
24
. Investigating the
correlation between EMG and RPE could provide a more accessible and cost-effective way to assess intensity, benefiting practitioners
and the public in practical settings.
The EMG activity recorded during contraction is related to the muscle-generated force, which influences the intensity of
physical effort during the task. Therefore, it is reasonable to presume that the intensity of effort affects the perceived exertion.
Furthermore, when interested in measuring localized muscle group effort, it is common to use EMG signals to investigate the level of
muscular excitation during physical activities
25
. Additionally, different types of strength training can influence both intensity and
perception of effort, considering factors such as exercise selection, rest periods and movement velocity
14
. How muscles are recruited can
influence both EMG and RPE responses, given that co-contraction involves simultaneous recruitment of agonist and antagonist muscles,
while conventional training often focuses on agonist recruitment. Finally, variations in muscle overload due to different types of exercises
can also influence the responses of both EMG and RPE. Therefore, considering the potential influence of different kinds of exercises on
muscle activity and perception of effort, it becomes interesting to analyze how these variables behave in response to different types of
training. Furthermore, investigating the existence of a relationship between muscle activity measured by EMG and the RPE reported by
participants can provide valuable insights into how these aspects interrelate in different training methods.
Thus, we analyzed the correlation between EMG activity (external load) and RPE (internal load) in co-contraction and
conventional resistance training. Examining the relationship between RPE and EMG allows one to comprehend the most suitable
approach for quantifying exercise intensity in resistance training, particularly co-contraction training. Considering the characteristics of the
training session of our study (exercise programs only for knee muscles composed of few exercises) and the characteristics of our study
population (older adults without previous experience of strength training), we assume that a correlation may not be observed.
Additionally, we compared EMG activity and RPE across training types. Furthermore, isometric exercise substantially elevates blood
pressure and heart rate
26
. Given limited knowledge of cardiovascular responses to co-contraction training in older individuals, we
prioritized monitoring blood pressure and heart rate for safety.
METHODS