Study on the limitation for detecting anaerobic threshold by respiratory frequency. Under the condition of exercise-entrained breathing is minimized / 体力科学

Under the condition that entrainment between breathing rate and exercise rhythm was minimized. The limitation for deciding anaerobic threshold (AT) by respiratory frequency (f) was studied. Ten healthy subjects (5 male and 5 female) have volunteered to take part in two incremental cycle exercises (male : 30 watt/2 min, 50 rpm ; female : 20 watt/2 min, 50 rpm) . The subjects were either sedentary or active and performed tests under two different condi-tions. The different conditions are explained below.<BR>1) Condition M : Use a metronome to maintain pedalling frequency so entrainment would easily occur.<BR>2) Condition S : Use a tachometer to maintain pedalling frequency so entrainment would not easily occur.<BR>Oxygen uptake (VO<SUB>2</SUB>) at AT were determined by two different methods. The first method was to detect the point of non-linear increase in minute ventilation (VE) and carbon dioxide output (VCO<SUB>2</SUB>) and then to increase detection in the ventilatory equivalent for O<SUB>2</SUB> (VE/VO<SUB>2</SUB>) without increasing the ventilatory equivalent for CO<SUB>2</SUB> (VE/VCO<SUB>2</SUB>) (AT-V) . The second method was to detect inflection in f by multisegment linear regression (AT-CF) . There were no significant differences between AT-V (condition M : 26.0±6.2, condition S : 26.4±6.0 m<I>l</I>/kg/ min) and AT-CF (condition M : 31.6±10.2, condition S : 24.7±10.0 m<I>l</I>/kg/min) . A significant positive correlation between AT-V and AT-CF was observed in condition S (r=0.850, p< 0.05), but not in condition M (r=0.563, p>0.05) . The error between AT-V and AT-CF had individual variations. An error within±5% was observed in only 4 out of 10 subjects. These results suggested that even though the ability to detect AT using f is superior in condition S, f is an inadequate indicator for the AT, though the exercise entrained breathing is minimized.

Circadian rhythms in gas exchange kinetics at the onset of moderate bicycle exercise / 体力科学

Circadian rhythms (diurnal variations) in many physiological parameters have been reported. However, there are no data on gas exchange kinetics at the onset of exercise. The purpose of this study was to establish whether there are circadian rhythms in gas exchange kinetics at the onset of exercise.<BR>Six male subjects performed 120W exercise on a cycle ergometer for 7 min in the morning (AM; 7: 30-8: 30) and evening (PM; 16: 30-17: 30) . Rectal temperature (Tr) and mean skin temperature (T<SUB>sk</SUB>) at rest were significantly higher PM than AM, the differences being 0.9±0.2°C and 0.7±0.2°C, respectively. Respiratory and circulatory parameters at rest and during exercise were not different between AM and PM. The time constants of oxygen uptake (Vo<SUB>2</SUB>), carbon dioxide output (Vco<SUB>2</SUB>), minute ventilation (V<SUB>E</SUB>), heart rate (HR), and oxygen pulse (Vo<SUB>2</SUB>/HR) showed the same results. There was no relationship between temperature parameters (Tr, T<SUB>sk</SUB>) and the time constants.<BR>It is suggested that circadian rhythms reflected by the change in body temperature do not have any effect on gas exchange kinetics at the onset of moderate bicycle exercise.

Breath-by-breath differences between exercise gas exchange kinetics measured at the mouth and those estimated at the alveolar level / 体力科学

In order to study respiratory transients during exercise, we examined breath-by-breath differences between gas exchange kinetics measured at the mouth and those estimated at the alveolar level. The gas exchange data at the mouth were obtained by measurement of expired gases only (expiratory flow method) . Correction for breath-by-breath changes in lung gas stores was applied to the total gas exchange, which was obtained by subtracting expired from inspired gas volume (alveolar gas exchange method) . Constant work loads (150, 200, 250 W) and a ramp work load (30 W/min) preceded and followed by a 50 W load were generated by a computerized cycle ergometer. Best-fit first- or second-order model values for gas exchange kinetic parameters were found by the non-linear least-squares method.<BR>1. Regardless of work intensity and forcing function, the breath-by-breath variation in gas exchange measured at the mouth was larger than the gas exchange estimated at the alveolar level, in both a non-steady state and a steady state. The variation was caused by the invalidity of assuming zero N<SUB>2</SUB> exchange at the mouth, which was attributed to changes in lung volume.<BR>2. Vo<SUB>2</SUB> kinetics at the alveolar level were faster than those at the mouth, while the converse held for Vco<SUB>2</SUB> at the onset of constant load work, due to the effects of fluctuations in lung gas stores on the kinetics of gas exchange at the mouth. During ramp load work, Vo<SUB>2</SUB> and Vco<SUB>2</SUB> kinetics at the alveolar level were faster than those at the mouth.<BR>3. Steady state gas exchange values at the alveolar level and at the mouth were the same during constant load work, since the lung gas stores corrections added up to small fractions of the total gas exchange when summed over the long term.<BR>4. Consideration of both the proper end-expiratory lung volume and ventilationperfusion inhomogeneity was required in order to estimate the true alveolar gas exchange.

The problems related to breath-by-breath measurement of respiratory gas exchange / 体力科学

The problems of breath-by-breath measurement of respiratory gas exchange to analyze the transient responses during complex load work are described and treated. With review for the experimental systems developed by other investigators, our signal transducers and data processing were improved. We found the computer-processed data were in good agreement with those obtained from simultaneous Douglas bag gas collection.<BR>1) Errors in the measurement of volume arose from errors in the flow signals such as nonlinearity, base-line drift, noise, and frequency response, as well as composition and temperature of gas, water vapor condensation, quantization errors, and breathing valve leakage. ±1.74% error in the flow integration reproducibility resulted from the modification of the upstream geometry of the pneumotachometer and the pressure tubing as well as a compensation for base-line drift and filter smoothing.<BR>2) Errors in the gas concentration signals were attributed to inaccuracy, drift, noise, and water vapor concentration. The transport delay of gas concentration signals was overestimated in order to cancel the underestimation in Vco<SUB>2</SUB>and Vo<SUB>2</SUB>·Other compensation methods for the response time were discussed.<BR>3) Error magnitudes below±0.97% in the A/D amplitude quantization were found by means of signal simulation.<BR>4) The optimal compromises between breath recognition threshold and the fluctuation in flow signal were examined to permit identification of irregular breath.<BR>5) Since the breathing valve dead space was modified to tidal volume dependent, errors in the gas exchange variables were reduced.<BR>6) To validate the accuracy of the equipment operation and the gas exchange algorithm, problems in signal simulation and the model lung were described.