BACKGROUND

Heart rate variability (HRV) is a common tool for assessing autonomic nervous system activity and monitoring training load in athletes. However, limited research has explored how HRV responds to different forms of resistance training, particularly in high-intensity intermittent sports like basketball and football.

This study aims to compare the acute HRV responses between neuromuscular and metabolic training in collegiate athletes involved in high-intensity intermittent sports.

A comparative cross-sectional study with a quasi-experimental crossover design will be employed.

Collegiate athletes will be randomly assigned to undergo both neuromuscular and metabolic training sessions with a one-week wash-out period in between. HRV data will be recorded using the Polar H10 chest strap during each session.

Descriptive statistics will summarize salient participant characteristics and HRV measurements. Inferential analysis will use paired t-tests or Wilcoxon signed-rank tests based on normality, assessed via the Kolmogorov-Smirnov test. All statistical analyses will be conducted using the IBM SPSS (ver.25) with a confidence interval set. at 95% and a critical α equal to 0.05.

Neuromuscular training is expected to elicit higher low-frequency (LF) power and an increased LF/HF ratio, reflecting greater sympathetic activation, while metabolic training is expected to show lower LF power and a decreased LF/HF ratio, indicating a more balanced autonomic response. These findings will offer insights into the differential autonomic impacts of these training modalities.

OBJECTIVE: To observe the effects of Yisui Yangxin moxibustion (moxibustion for benefiting the marrow and nourishing the heart) in sequential trial on blood pressure (BP), perimenopausal symptoms, cardiovascular function and heart rate variability (HRV) in prehypertension in perimenopausal women. METHODS: The eligible female patients of prehypertension of perimenopausal period were collected according to the inclusion criteria. Based on the requirements of open two-way qualitative response sequential trial, the sample size was not set in advance, and the matched pair design was used for random division into a moxibustion group and a health education group. The patients of the two groups were treated in pairs, and the analysis was immediately performed after the end of treatment for each pair, and the sequential trial analysis (STA) was diagrammed. The health education group provided the health education for prehypertension to the patients according to 2018 Revised Chinese Hypertension Prevention and Treatment Guidelines. In the moxibustion group, beside the health education for prehypertension, the non-suppurative moxibustion was delivered at Baihui (GV20), Guanyuan (CV4) and bilateral Neiguan (PC6) and Zusanli (ST36), once every two days, 3 treatments per week and for 4 consecutive weeks. Before treatment, in 2 and 4 weeks of treatment, as well as in 1-month follow-up after treatment, BP was measured in each group, separately. Before treatment and in 4 weeks of treatment, the observation was performed in the score of the modified Kupperman scale, and Pittsburgh sleep quality index (PSQI) score, the indexes of cardiovascular function (stroke volume [SV], cardiac output per minute [CO], stroke index [SI], cardiac index [CI], left ventricular effective pumping force [VPE], left ventricular energy efficiency [EWK], arterial compliance [AC], left ventricular ejection resistance [VER], blood viscosity (N), and microcirculation half update rate [MHR]), and heart rate variability (HRV) indexes (low frequency [LF], high frequency [HF], LF/HF, standard deviation of NN interval [SDNN], root mean square of successive differences in adjacent NN intervals [RMSSD]). RESULTS: Based on sequential test line, when the trial was performed to the 17th pair, and the test line touched the upper limit U, meaning the results of the moxibustion group was superior to the health education group, thus, the trial stopped immediately. In 2 and 4 weeks of treatment and in follow-up, the systolic blood pressure (SBP) and diastolic blood pressure (DBP) were lower when compared with those before treatment in the moxibustion group (P<0.05); SBP at each time point and DBP in 2 and 4 weeks of treatment in the moxibustion group were lower than those of the health education group (P<0.05). After treatment, the score of the modified Kupperman scale was reduced when compared with that before treatment in the moxibustion group (P<0.05). The score of the modified Kupperman scale and PSQI in the moxibustion group were lower than those of the health education group after treatment (P<0.05). After treatment, SV, CO, SI, CI and EWK were increased in comparison with the indexes before treatment in the moxibustion group (P<0.05), and VER and N were dropped (P<0.05). After treatment, SV, CO, SI, CI and EWK in the moxibustion group were higher than those of the health education group (P<0.05), and VER and N were lower (P<0.05). After treatment, in the moxibustion group, LF, HF, SDNN and RMSSD were increased in comparison with those before treatment (P<0.05), and LF/HF was declined (P<0.05). In the health education group, after treatment, LF, HF, SDNN and RMSSD decreased when compared with those before treatment (P<0.05). After treatment, LF, HF, SDNN and RMSSD in the moxibustion group were higher than those of the health education group (P<0.05), and LF/HF was lower (P<0.05). The total effective rate was 94.1% (16/17) in the moxibustion group, higher than that (41.2%, 7/17) in the health education group (P<0.05). CONCLUSION Moxibustion can reduce SBP and DBP in prehypertension of perimenopausal women, alleviate perimenopausal symptoms, improve cardiac function and adjust the overall balance of cardiac autonomic nerves.
Humans ; Female ; Middle Aged ; Moxibustion ; Perimenopause ; Blood Pressure ; Prehypertension/prevention & control* ; Heart Rate ; Acupuncture Points ; Adult

OBJECTIVE: To compare the clinical efficacy of acupuncture with Neiguan (PC6)-to-Waiguan (TE5) and esmolol on hemodynamics during anesthesia induction and postoperative nausea and vomiting. METHODS: A total of 100 patients undergoing elective laparoscopic hernia repair or gynecological surgery under general anesthesia were randomly divided into an acupuncture group (50 cases, 3 cases were eliminated) and an esmolol group (50 cases, 2 cases were eliminated). In the acupuncture group, before anesthesia induction, patients were applied to acupuncture with Neiguan (PC6)-to-Waiguan (TE5), and the needles were retained for 15 min on the right side and 30 min on the left side. Patients in the esmolol group were intravenously injected with 20 mg esmolol hydrochloride injection 5 min before anesthesia induction. The systolic blood pressure (SBP) and heart rate (HR) of the two groups were recorded at 5 min after entering the operating room (T₀), before anesthesia induction (T₁), after anesthesia induction (T₂), before tracheal intubation (T₃) and 1 min after tracheal intubation (T₄). The visual analogue scale (VAS) scores of pain and the incidence of nausea and vomiting in the two groups were observed at the time of entering postanesthesia care unit (PACU) (T₅), leaving PACU (T₆), 6 h after operation (T₇) and 24 h after operation (T₈). The dosage of anesthesia-related drugs in the two groups was counted. RESULTS: The SBP and HR of the two groups at T₂, T₃ and T₄ were lower than those at T₁ (P<0.05). SBP and HR at T₃ in the acupuncture group were higher than those in the esmolol group (P<0.05). Compared with the esmolol group, in the acupuncture group, the VAS scores of pain at T₆ and T₇ were decreased (P<0.05), the incidence of nausea and vomiting at T₇ and T₈ and the nausea and vomiting visual analogue scale (NVAS) scores were decreased (P<0.05). Compared with the esmolol group, the dosage of propofol in the acupuncture group was decreased (P<0.05). CONCLUSION Acupuncture with Neiguan (PC6)-to-Waiguan (TE5) can relieve hemodynamic fluctuations during anesthesia induction, reduce postoperative pain and nausea and vomiting, and reduce the dosage of propofol. The curative effect is better than that of esmolol.
Humans ; Female ; Adult ; Middle Aged ; Acupuncture Points ; Male ; Hemodynamics ; Propanolamines/administration & dosage* ; Postoperative Nausea and Vomiting/drug therapy* ; Young Adult ; Heart Rate ; Aged ; Blood Pressure ; Acupuncture Therapy

This study examined the regulatory effects of autonomic nervous system on aerobic endurance exercise performance in cold exposure, focusing on heart rate recovery (HRR) and heart rate variability (HRV) across genders. Thirty participants (17 males and 13 females) from a university track endurance program, classified as exercise grade II or above, underwent monitoring of HRV in time domain, frequency domain, nonlinear correlation indices and 1 min HRR. Measurements were taken before, during, and after aerobic endurance exercise in cold and normal environments, respectively. The results were as follows. (1) The duration of aerobic endurance exercise completed by all the subjects in cold environment was significantly increased compared with that in normal environment. The 1 min HRR after aerobic endurance exercise in cold environment was significantly lower than that in normal environment, and the decrease in the males was significantly higher than that in the females. (2) The time domain analysis results showed that, prior to the aerobic endurance exercise, there were no significant difference of standard deviation from the mean value of normal to normal intervals (SDNN), root mean square of successive differences (RMSSD), and percentage of adjacent normal-to-normal intervals differing by more than 50 ms (pNN50) between cold and normal environments. During aerobic endurance exercise in cold environment, SDNN, RMSSD and pNN50 were significantly higher than those in normal environment, with the females showing significantly greater increases compared with those of the males. The levels of SDNN, RMSSD and pNN50 in the males at different time points under different environments were significantly lower than those in the quiet state; The levels of SDNN and RMSSD of the females at different time points under different environments were significantly lower than those in the quiet state, while the pNN50 at different time points under cold environments was significantly lower than that in the quiet state. (3) Frequency domain analysis results showed that, prior to the aerobic endurance exercise, there was no significant difference of high frequency normalized units [HF (n.u.)], low frequency normalized units [LF (n.u.)] and LF/HF ratio between cold and normal environments. During aerobic endurance exercise in cold environment, the levels of HF (n.u.) significantly increased compared to normal environment in the females, while LF (n.u.) and LF/HF ratio levels significantly decreased compared to normal environments. The levels of HF (n.u.), LF (n.u.) and LF/HF ratio of different genders at different time points in the different environments showed no significant changes, compared to those in the quiet state. (4) Non-linear analysis results showed a significant increase in SD1 (standard deviation perpendicular to the line-of-identity)/SD2 (standard deviation along the line-of-identity) ratio during aerobic endurance exercise in cold environment in the females, while no significant changes were observed in the males. SD1/SD2 ratios in the males at different time points and in the females at 1 min under cold environments were significantly higher than those in the quiet state. These findings suggest that aerobic endurance performance increases during cold exposure, accompanied by gender-specific differences in the regulation of autonomic nervous system. Females exhibit higher vagal activity and faster autonomic nervous system recovery compared to males.
Humans ; Male ; Female ; Heart Rate/physiology* ; Cold Temperature ; Exercise/physiology* ; Physical Endurance/physiology* ; Autonomic Nervous System/physiology* ; Young Adult ; Adult ; Sex Factors

Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm based on the three-way decision (TWD) theory and multi-objective optimization Active Learning (MOAL). During the training process of a convolutional neural network (CNN) classification model, the algorithm incorporates the TWD theory to select high-confidence samples as pseudo-labeled samples in a fine-grained batch processing mode, meanwhile low-confidence samples annotated by obstetrics experts were also considered. The TWD-MOAL algorithm proposed in this paper was validated on a dataset of 16 355 prenatal CTG records collected by our group. Experimental results showed that the algorithm proposed in this paper achieved an accuracy of 80.63% using only 40% of the labeled samples, and in terms of various indicators, it performed better than the existing active learning algorithms under other frameworks. The study has shown that the intelligent fetal heart monitoring model based on TWD-MOAL proposed in this paper is reasonable and feasible. The algorithm significantly reduces the time and cost of labeling by obstetric experts and effectively solves the problem of data imbalance in CTG signal data in clinic, which is of great significance for assisting obstetrician in interpretations CTG signals and realizing intelligence fetal monitoring.
Humans ; Pregnancy ; Female ; Cardiotocography/methods* ; Deep Learning ; Neural Networks, Computer ; Algorithms ; Fetal Monitoring/methods* ; Heart Rate, Fetal ; Fetal Distress/diagnosis* ; Fetal Heart/physiology*

Heart rate is a crucial indicator of human health with significant physiological importance. Traditional contact methods for measuring heart rate, such as electrocardiograph or wristbands, may not always meet the need for convenient health monitoring. Remote photoplethysmography (rPPG) provides a non-contact method for measuring heart rate and other physiological indicators by analyzing blood volume pulse signals. This approach is non-invasive, does not require direct contact, and allows for long-term healthcare monitoring. Deep learning has emerged as a powerful tool for processing complex image and video data, and has been increasingly employed to extract heart rate signals remotely. This article reviewed the latest research advancements in rPPG-based heart rate measurement using deep learning, summarized available public datasets, and explored future research directions and potential advancements in non-contact heart rate measurement.
Humans ; Deep Learning ; Heart Rate/physiology* ; Photoplethysmography/methods* ; Video Recording ; Face ; Monitoring, Physiologic/methods* ; Signal Processing, Computer-Assisted

Multi-task learning (MTL) has demonstrated significant advantages in the field of physiological signal measurement. This approach enhances the model's generalization ability by sharing parameters and features between similar tasks, even in data-scarce environments. However, traditional multi-task physiological signal measurement methods face challenges such as feature conflicts between tasks, task imbalance, and excessive model complexity, which limit their application in complex environments. To address these issues, this paper proposes an enhanced multi-scale spatiotemporal network (EMSTN) based on Eulerian video magnification (EVM), super-resolution reconstruction and convolutional multilayer perceptron. First, EVM is introduced in the input stage of the network to amplify subtle color and motion changes in the video, significantly improving the model's ability to capture pulse and respiratory signals. Additionally, a super-resolution reconstruction module is integrated into the network to enhance the image resolution, thereby improving detail capture and increasing the accuracy of facial action unit (AU) tasks. Then, convolutional multilayer perceptron is employed to replace traditional 2D convolutions, improving feature extraction efficiency and flexibility, which significantly boosts the performance of heart rate and respiratory rate measurements. Finally, comprehensive experiments on the Binghamton-Pittsburgh 4D Spontaneous Facial Expression Database (BP4D+) fully validate the effectiveness and superiority of the proposed method in multi-task physiological signal measurement.
Humans ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Face/physiology* ; Video Recording ; Facial Expression ; Heart Rate ; Algorithms

Alzheimer's disease (AD) is the most common degenerative disease of the nervous system. Studies have found that the 40 Hz pulsed magnetic field has the effect of improving cognitive ability in AD, but the mechanism of action is not clear. In this study, APP/PS1 double transgenic AD model mice were used as the research object, the water maze was used to group dementia, and 40 Hz/10 mT pulsed magnetic field stimulation was applied to AD model mice with different degrees of dementia. The behavioral indicators, mitochondrial samples of hippocampal CA1 region and electrocardiogram signals were collected from each group, and the effects of 40 Hz pulsed magnetic field on mouse behavior, mitochondrial kinetic indexes and heart rate variability (HRV) parameters were analyzed. The results showed that compared with the AD group, the loss of mitochondrial crest structure was alleviated and the mitochondrial dynamics related indexes were significantly improved in the AD + stimulated group ( P < 0.001), sympathetic nerve excitation and parasympathetic nerve inhibition were improved, and the spatial cognitive memory ability of mice was significantly improved ( P < 0.05). The preliminary results of this study show that 40 Hz pulsed magnetic field stimulation can improve the mitochondrial structure and mitochondrial kinetic homeostasis imbalance of AD mice, and significantly improve the autonomic neuromodulation ability and spatial cognition ability of AD mice, which lays a foundation for further exploring the mechanism of ultra-low frequency magnetic field in delaying the course of AD disease and realizing personalized neurofeedback therapy for AD.
Animals ; Heart Rate/physiology* ; Mice ; Alzheimer Disease/therapy* ; Mice, Transgenic ; Mitochondrial Dynamics/radiation effects* ; Magnetic Field Therapy/methods* ; Magnetic Fields ; Disease Models, Animal ; Mitochondria ; Male ; Maze Learning ; Cognition ; Dementia/therapy*

Exercise intervention is an important non-pharmacological intervention for various diseases, and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevention and control. Based on data collection from wearable devices, this study conducts nonlinear optimization and empirical verification of the original "Fitness-Fatigue Model". By constructing a time-varying attenuation function and specific coefficients, this study develops an optimized mathematical model that reflects the nonlinear characteristics of training responses. Thirteen participants underwent 12 weeks of moderate-intensity continuous cycling, three times per week. For each training session, external load (actual work done) and internal load (heart rate variability index) data were collected for each individual to conduct a performance comparison between the optimized model and the original model. The results show that the optimized model demonstrates a significantly improved overall goodness of fit and superior predictive ability. In summary, the findings of this study can support dynamic adjustments to participants' training programs and aid in the prevention and control of chronic diseases.
Humans ; Wearable Electronic Devices ; Exercise/physiology* ; Models, Theoretical ; Heart Rate/physiology* ; Exercise Therapy

Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices. To validate the superiority of the proposed method under nonstationary and low signal-to-noise ratio conditions, simulations were first conducted to demonstrate the performance strength of the proposed method to the traditional one. Next, the proposed CPC algorithm was applied to analyze cardiac and respiratory data from both elderly and young populations, revealing that young populations exhibited significantly stronger couplings in the high-frequency band compared with their elderly counterparts. Finally, a CPC assessment system was constructed by integrating wearable devices, and additional recordings from both elderly and young populations were collected by using the system, completing the validation and application of the aging effect assessment algorithm and the wearable system. In conclusion, this study may offers methodological and system support for assessing the aging effects on the ANS.
Humans ; Autonomic Nervous System/physiology* ; Algorithms ; Aging/physiology* ; Electrocardiography/methods* ; Heart Rate/physiology* ; Wavelet Analysis ; Aged ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices