Autonomic nervous system (ANS) plays an important role in the regulation of the physiological processes of the human organism during normal and pathological conditions. Among the techniques used in its evaluation, the heart rate variability (HRV) has arising as a simple and non-invasive measure of the autonomic impulses, representing one of the most promising quantitative markers of the autonomic balance. The HRV describes the oscillations in the interval between consecutive heart beats (RR interval), as well as the oscillations between consecutive instantaneous heart rates. It is a measure that can be used to assess the ANS modulation under physiological conditions, such as wakefulness and sleep conditions, different body positions, physical training and also pathological conditions. Changes in the HRV patterns provide a sensible and advanced indicator of health involvements. Higher HRV is a signal of good adaptation and characterizes a health person with efficient autonomic mechanisms, while lower HRV is frequently an indicator of abnormal and insufficient adaptation of the ANS, provoking poor patient's physiological function. Because of its importance as a marker that reflects the autonomic nervous system activity on the sinus node and as a clinical instrument to assess and identify health involvements, this study reviews conceptual aspects of the HRV, measurement devices, filtering methods, indexes used in the HRV analyses, limitations in the use and clinical applications of the HRV.Descriptors: Autonomic nervous system. Heart rate. Parasympathetic nervous system. Sympathetic nervous system. ResumoO sistema nervoso autônomo (SNA) desempenha um papel importante na regulação dos processos fisiológicos do organismo humano tanto em condições normais quanto patológicas. Dentre as técnicas utilizadas para sua avaliação, a variabilidade da frequência cardíaca (VFC) tem emergido como uma medida simples e não-invasiva dos impulsos autonômicos, representando um dos mais promissores marcadores quantitativos do balanço autonômico. A VFC descreve as oscilações no intervalo entre batimentos cardíacos consecutivos (intervalos R-R), assim como oscilações entre frequências cardíacas instantâneas consecutivas. Trata-se de uma medida que pode ser utilizada para avaliar a modulação do SNA sob condições fisiológicas, tais como em situações de vigília e sono, diferentes posições do corpo, treinamento físico, e também em condições patológicas. Mudanças nos padrões da VFC fornecem um indicador sensível e antecipado de comprometimentos na

The aim of the present study was to compare heart rate variability (HRV) at rest and during exercise using a temporal series obtained with the Polar S810i monitor and a signal from a LYNX ® signal conditioner (BIO EMG 1000 model) with a channel configured for the acquisition of ECG signals. Fifteen healthy subjects aged 20.9 ± 1.4 years were analyzed. The subjects remained at rest for 20 min and performed exercise for another 20 min with the workload selected to achieve 60% of submaximal heart rate. RR series were obtained for each individual with a Polar S810i instrument and with an ECG analyzed with a biological signal conditioner. The HRV indices (rMSSD, pNN50, LFnu, HFnu, and LF/HF) were calculated after signal processing and analysis. The unpaired Student t-test and intraclass correlation coefficient were used for data analysis. No statistically significant differences were observed when comparing the values analyzed by means of the two devices for HRV at rest and during exercise

Background: Heart rate variability is used as an assessment method for cardiac autonomic modulation. Since the Task Force's publication on heart rate variability in 1996, the European Heart Rhythm Association Position Paper in 2015 and a recent publication in 2017, attention has been paid to recommendations on using heart rate variability analysis methods, as well as their applications in different physiological conditions and clinical studies. This analysis has proved to be useful as a complementary tool for clinical evaluation and to assess the effect of non-pharmacological therapeutic interventions, such as physical exercise programmes, on cardiac autonomic modulation. Objective: The aim of this article is to make recommendations and to develop a checklist of normalisation procedures regarding the use of heart rate variability data collection and analysis methodology, focusing on the cardiology area and cardiac rehabilitation. Methods: Based on previous heart rate variability publications, this paper provides a description of the most common shortcomings of using the analysis methods and considers recommendations and suggestions on how to minimise these occurrences by using a specific checklist.

Background Cold water immersion (CWI) is a technique commonly used in post-exercise recovery. However, the procedures involved in the technique may vary, particularly in terms of water temperature and immersion time, and the most effective approach remains unclear. Objectives The objective of this systematic review was to determine the efficacy of CWI in muscle soreness management compared with passive recovery. We also aimed to identify which water temperature and immersion time provides the best results. Methods The MEDLINE, EMBASE, SPORTDiscus, PEDro [Physiotherapy Evidence Database], and CEN-TRAL (Cochrane Central Register of Controlled Trials) databases were searched up to January 2015. Only randomized controlled trials that compared CWI to passive recovery were included in this review. Data were pooled in a meta-analysis and described as weighted mean differences (MDs) with 95 % confidence intervals (CIs). Conclusions The available evidence suggests that CWI can be slightly better than passive recovery in the management of muscle soreness. The results also demonstrated the presence of a dose-response relationship, indicating that CWI with a water temperature of between 11 and 15°C and an immersion time of 11-15 min can provide the best results. Key PointsCold water immersion (CWI) can be slightly better than passive recovery in management of muscle soreness.The findings suggest a dose-response relationship, indicating that CWI at a temperature between 11 and 15°C for 11-15 min can provides the best results for both immediate and delayed effects.A potential risk of bias was identified by methodological quality assessment of the studies included, identifying a need for higher-quality studies to affirm that the dose-response relationship of the results can be reliably reproduced.

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Elastic tubing training had a greater effect on functional exercise capacity than conventional resistance training. Both interventions were equally effective in improving muscle strength and quality of life.

formation about sports injuries, one in records and another with the athletes in interview. The binomial proportion test by agreement was used to compare the information with 95% of confidence. After analyzed the agreement between that two collect forms, that variables values were within the limits of confidence established for statistics tests with the following values: 88.33% to the variables injury tip and injury mechanism or high of symptoms, 90% to the variable quality of return to the sports practice and 91.67% to the variables anatomical place and period of training. There was high rate of agreement between collected information, showing reported morbidity inquire efficiency in collect data about sports injuries.

Given the practicality and low cost of using elastic resistance in training for different populations and its effectiveness in a range of outcomes, a comparison with conventional devices could clarify and quantify the benefits provided by both mode. To compare the effects of resistance training with elastic devices (tubes and Thera-Bands) and conventional devices (weight machines and dumbbells) on the outcome muscular strength. A search was performed in the databases PubMed/MEDLINE, EMBASE, PEDro (Physiotherapy Evidence Database), and CENTRAL (Cochrane Central Register of Controlled Trials) from the earliest records up to 20 December 2017. Data were pooled into a meta-analysis and described as standardized mean difference with a 95% confidence interval (registration number: CRD42016042152). Eight studies were included. The results of the meta-analysis demonstrated no superiority between the methods analyzed for upper limb (standardized mean difference = −0.011; 95% confidence interval = −0.40, 0.19; p = 0.48) or lower limb muscular strength (standardized mean difference = 0.09; 95% confidence interval = −0.18, 0.35; p = 0.52). Elastic resistance training is able to promote similar strength gains to conventional resistance training, in different population profiles and using diverse protocols.