Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable rea...Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable real-time detection of exercise intensity and mitigate the risks of harmfrom excessive exercise, a exercise intensity monitoring system based on the heart rate variability(HRV) from electrocardiogram (ECG) signal and linear features from phonocardiogram (PCG)signal is proposed. The main contributions include: First, accurate analysis of HRV is crucial forsubsequent exercise intensity detection. To enhance HRV analysis, we propose an R-peak detectorbased on encoder-decoder and temporal convolutional network (TCN). Experimental resultsdemonstrate that the proposed R-peak detector achieves an F1 score exceeding 0.99 on real high-intensity exercise ECG datasets. Second, an exercise fatigue monitoring system based on multi-signal feature fusion is proposed. Initially, utilizing the proposed R-peak detector for HRV extractionin exercise intensity detection,which outperforms traditional algorithms, with the system achieving a classification performance of 0.933 sensitivity, 0.802 specificity, and 0.960 accuracy. To further improve the system, we combine HRV with the linear features of PCG. Our exercise intensitydetection system achieves 90.2% specificity, 96.7% recall, and 98.1% accuracy in five-fold cross-validation.展开更多
This was a Pre-test/Post-test research designed to study the acute heart rate response of pregnant women to aerobic dance exercise. Twenty four (24) pregnant women with no complications participated in this study. HR ...This was a Pre-test/Post-test research designed to study the acute heart rate response of pregnant women to aerobic dance exercise. Twenty four (24) pregnant women with no complications participated in this study. HR increased significantly after 30 minutes exercise [7.292, P = 0.004 (P < 0.05)] and then decreased significantly again after 30 minutes rest, post exercise [10.00, P = 0.0001 (P < 0.05)]. The heart rate normalised after 30 minutes rest, showing no significant difference from the pre-exercise value [2.708, P = 0.517 (P > 0.05)]. Moderate intensity Aerobic Dance Exercise may not precipitate adverse acute cardiorespiratory response in pregnant women with no complications.展开更多
Aerobic capacity, which is expressed as peak oxygen consumption (VO2peak), is well-known to be an independent predictor of all-cause mortality and cardiovascular prognosis. This is true even for people with various co...Aerobic capacity, which is expressed as peak oxygen consumption (VO2peak), is well-known to be an independent predictor of all-cause mortality and cardiovascular prognosis. This is true even for people with various coronary risk factors and cardiovascular diseases. Although exercise training is the best method to improve VO2peak, the guidelines of most academic societies recommend 150 or 75 min of moderate- or vigorous- intensity physical activities, respectively, every week to gain health benefits. For general health and primary and secondary cardiovascular prevention, high-intensity interval training (HIIT) has been recognized as an efficient exercise protocol with short exercise sessions. Given the availability of the numerous HIIT protocols, which can be classified into aerobic HIIT and anaerobic HIIT [usually called sprint interval training (SIT)], professionals in health-related fields, including primary physicians and cardiologists, may find it confusing when trying to select an appropriate protocol for their patients. This review describes the classifications of aerobic HIIT and SIT, and their differences in terms of effects, target subjects, adaptability, working mechanisms, and safety. Understanding the HIIT protocols and adopting the correct type for each subject would lead to better improvements in VO2peak with higher adherence and less risk.展开更多
Objective:To infer the training load from the characteristics of heart rate changes of elite sprinters during maximum intensity training.Methods:Different training loads were determined according to different running ...Objective:To infer the training load from the characteristics of heart rate changes of elite sprinters during maximum intensity training.Methods:Different training loads were determined according to different running distances.Multi-person running in the same group was used to collect the heart rate data of elite sprinters during speed training.Results:the heart rate level was directly related to the exercise load.During the maximum intensity exercise,the heart rate generally increased for about 12 s after the race,which was about 110%of the end-point heart rate.Compared with the low load group(60m),the heart rate of the high load group(100m)continued to rise,but the maximum heart rate level was higher than that of the low load group.The exercise intensity and heart rate change rate of the low load group are greater,the work done by the high load group is more,and the envelope area of the heart rate curve is larger.During intermittent training,under the condition of controlling the interval between groups,the heart rate curve envelope area of the low load group is small,the physical recovery is good,the parameter consistency of each group is good,the heart rate curve envelope area of the high load group is large,and the heart rate response decreases gradually.展开更多
The Karvonen formula, which is widely used to estimate exercise intensity, contains maximum heart rate, H Rmax, as a variable. This study employed pedaling experiments to assess which of the proposed formulas for calc...The Karvonen formula, which is widely used to estimate exercise intensity, contains maximum heart rate, H Rmax, as a variable. This study employed pedaling experiments to assess which of the proposed formulas for calculating H Rmaxwas the most suitable for use with the Karvonen formula. First, two kinds of experiments involving an ergometer were performed: an all-in-one-day experiment that tested eight pedaling loads in one day, and a one-load-per-day experiment that tested one load per day for eight days.A comparison of the data on 7 subjects showed that the all-in-one-day type of experiment was better for assessing H Rmaxformulas,at least for the load levels tested in our experiments. A statistical analysis of the experimental data on 47 subjects showed two of the H Rmaxformulas to be suitable for use in the Karvonen formula to estimate exercise intensity for males in their 20 s. In addition, the physical characteristics of a person having the greatest impact on exercise intensity were determined.展开更多
基金the National Natural Science Foundation of China(No.62301056)the Fundamental Research Funds for Central Universities(No.2022QN005).
文摘Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable real-time detection of exercise intensity and mitigate the risks of harmfrom excessive exercise, a exercise intensity monitoring system based on the heart rate variability(HRV) from electrocardiogram (ECG) signal and linear features from phonocardiogram (PCG)signal is proposed. The main contributions include: First, accurate analysis of HRV is crucial forsubsequent exercise intensity detection. To enhance HRV analysis, we propose an R-peak detectorbased on encoder-decoder and temporal convolutional network (TCN). Experimental resultsdemonstrate that the proposed R-peak detector achieves an F1 score exceeding 0.99 on real high-intensity exercise ECG datasets. Second, an exercise fatigue monitoring system based on multi-signal feature fusion is proposed. Initially, utilizing the proposed R-peak detector for HRV extractionin exercise intensity detection,which outperforms traditional algorithms, with the system achieving a classification performance of 0.933 sensitivity, 0.802 specificity, and 0.960 accuracy. To further improve the system, we combine HRV with the linear features of PCG. Our exercise intensitydetection system achieves 90.2% specificity, 96.7% recall, and 98.1% accuracy in five-fold cross-validation.
文摘This was a Pre-test/Post-test research designed to study the acute heart rate response of pregnant women to aerobic dance exercise. Twenty four (24) pregnant women with no complications participated in this study. HR increased significantly after 30 minutes exercise [7.292, P = 0.004 (P < 0.05)] and then decreased significantly again after 30 minutes rest, post exercise [10.00, P = 0.0001 (P < 0.05)]. The heart rate normalised after 30 minutes rest, showing no significant difference from the pre-exercise value [2.708, P = 0.517 (P > 0.05)]. Moderate intensity Aerobic Dance Exercise may not precipitate adverse acute cardiorespiratory response in pregnant women with no complications.
文摘Aerobic capacity, which is expressed as peak oxygen consumption (VO2peak), is well-known to be an independent predictor of all-cause mortality and cardiovascular prognosis. This is true even for people with various coronary risk factors and cardiovascular diseases. Although exercise training is the best method to improve VO2peak, the guidelines of most academic societies recommend 150 or 75 min of moderate- or vigorous- intensity physical activities, respectively, every week to gain health benefits. For general health and primary and secondary cardiovascular prevention, high-intensity interval training (HIIT) has been recognized as an efficient exercise protocol with short exercise sessions. Given the availability of the numerous HIIT protocols, which can be classified into aerobic HIIT and anaerobic HIIT [usually called sprint interval training (SIT)], professionals in health-related fields, including primary physicians and cardiologists, may find it confusing when trying to select an appropriate protocol for their patients. This review describes the classifications of aerobic HIIT and SIT, and their differences in terms of effects, target subjects, adaptability, working mechanisms, and safety. Understanding the HIIT protocols and adopting the correct type for each subject would lead to better improvements in VO2peak with higher adherence and less risk.
文摘Objective:To infer the training load from the characteristics of heart rate changes of elite sprinters during maximum intensity training.Methods:Different training loads were determined according to different running distances.Multi-person running in the same group was used to collect the heart rate data of elite sprinters during speed training.Results:the heart rate level was directly related to the exercise load.During the maximum intensity exercise,the heart rate generally increased for about 12 s after the race,which was about 110%of the end-point heart rate.Compared with the low load group(60m),the heart rate of the high load group(100m)continued to rise,but the maximum heart rate level was higher than that of the low load group.The exercise intensity and heart rate change rate of the low load group are greater,the work done by the high load group is more,and the envelope area of the heart rate curve is larger.During intermittent training,under the condition of controlling the interval between groups,the heart rate curve envelope area of the low load group is small,the physical recovery is good,the parameter consistency of each group is good,the heart rate curve envelope area of the high load group is large,and the heart rate response decreases gradually.
基金supported by Health Science Center Foundation,Japan
文摘The Karvonen formula, which is widely used to estimate exercise intensity, contains maximum heart rate, H Rmax, as a variable. This study employed pedaling experiments to assess which of the proposed formulas for calculating H Rmaxwas the most suitable for use with the Karvonen formula. First, two kinds of experiments involving an ergometer were performed: an all-in-one-day experiment that tested eight pedaling loads in one day, and a one-load-per-day experiment that tested one load per day for eight days.A comparison of the data on 7 subjects showed that the all-in-one-day type of experiment was better for assessing H Rmaxformulas,at least for the load levels tested in our experiments. A statistical analysis of the experimental data on 47 subjects showed two of the H Rmaxformulas to be suitable for use in the Karvonen formula to estimate exercise intensity for males in their 20 s. In addition, the physical characteristics of a person having the greatest impact on exercise intensity were determined.
