RESUMO
The aim of this study was to determine the anaerobic threshold (AT) in a population of healthy and post-myocardial infarction men by applying Hinkley's mathematical method and comparing its performance to the ventilatory visual method. This mathematical model, in lieu of observer-dependent visual determination, can produce more reliable results due to the uniformity of the procedure. 17 middle-aged men (55±3 years) were studied in 2 groups: 9 healthy men (54±2 years); and 8 men with previous myocardial infarction (57±3 years). All subjects underwent an incremental ramp exercise test until physical exhaustion. Breath-by-breath ventilatory variables, heart rate (HR), and vastus lateralis surface electromyography (sEMG) signal were collected throughout the test. Carbon dioxide output (VËCO2), HR, and sEMG were studied, and the AT determination methods were compared using correlation coefficients and Bland-Altman plots. Parametric statistical tests were applied with significance level set at 5%. No significant differences were found in the HR, sEMG, and ventilatory variables at AT between the different methods, such as the intensity of effort relative to AT. Moreover, important concordance and significant correlations were observed between the methods. We concluded that the mathematical model was suitable for detecting the AT in both healthy and myocardial infarction subjects.
Assuntos
Limiar Anaeróbio/fisiologia , Modelos Estatísticos , Infarto do Miocárdio/fisiopatologia , Antropometria , Dióxido de Carbono/fisiologia , Estudos Transversais , Eletromiografia , Frequência Cardíaca , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Troca Gasosa Pulmonar , Fatores de RiscoRESUMO
OBJETIVO: Determinar o limiar de anaerobiose (LA) pelo método ventilatório (visual gráfico), pelos modelos matemáticos, Heteroscedástico e Hinkley, aplicados aos conjuntos de dados de freqüência cardíaca (FC), RMS do sinal mioelétrico (Root Mean Square) e VCO2 e comparar o LA obtido pelos três métodos. METODOLOGIA: Foram estudados 9 idosos ativos (61,4±1,8 anos) durante teste de exercício físico dinâmico contínuo do tipo rampa, em cicloergômetro, com incrementos de potência variando de 10 a 15 Watts/min. Foram coletados os dados de FC batimento a batimento, eletromiografia de superfície do músculo vasto lateral e variáveis ventilatórias respiração a respiração. Após a aplicação dos modelos matemáticos e identificados os pontos de quebra de comportamento, foram registrados neste momento os valores de potência, VO2 e FC, comparados e correlacionados aos obtidos pelo método visual gráfico (padrão ouro). Foi utilizado o teste de Friedman para comparações múltiplas e o teste de correlação de Spearman (nível de significância de 5 por cento). RESULTADOS: Não foram encontradas diferenças significantes, em relação ao padrão ouro, entre os valores de potência, VO2 e FC, no momento do LA identificado pelos diferentes modelos. Foram encontradas correlações significantes entre os valores de FC identificados pelos modelos matemáticos entre os valores de VO2 quando identificados pela freqüência cardíaca e de potência somente quando identificada pelo modelo de Hinkley aplicado aos dados de RMS do sinal mioelétrico. CONCLUSÕES: No grupo estudado, os modelos matemáticos mostraram-se adequados na determinação não-invasiva do LA, sendo que ambos ajustaram-se melhor aos dados de FC, seguido pela VCO2 e RMS.
OBJECTIVE: To determine the anaerobic threshold by the graphic visual ventilatory method and the Hinkley and heteroscedastic mathematical models, applied to heart rate, myoelectric root mean square (RMS) signal and VCO2 datasets, and to compare the anaerobic threshold obtained by the three methods. METHOD: Nine active elderly subjects were studied (aged 61.4 ± 1.8 years) during a ramp-load continuous dynamic physical exercise test on a cycle ergometer, with power ranging from 10 to 15 Watts/min. Beat-to-beat heart rate data, electromyographic data from the surface of the vastus lateralis muscle, and breath-to-breath ventilatory data were collected. After applying mathematical models and identifying the behavioral shift points, these power levels, heart rates and VO2 values were noted and these were compared and correlated with those obtained by the graphic visual model (gold standard). The Friedman test for multiple comparisons and the Spearman correlation test were utilized (significance level: 5 percent). RESULTS: No significant differences were found in relation to the gold standard, between the power levels, VO2 values and heart rates at the anaerobic threshold identified by the different models. Significant correlations were found between the heart rates identified by the mathematical models, between the VO2 values identified by the heart rates, and between power rates only when identified by the Hinkley model applied to myoelectric RMS signal data. CONCLUSION: In this study group, the mathematical models were shown to be adequate for non-invasively determining the anaerobic threshold. Both models worked best on the heart rate data, followed by VCO2 and RMS.