Statistical analysis of 100 successive RR interval time in ECG, mean heart rate was carried out in 3 groups. The 1st group consisted of 23 healthy men, aged 19.3. The 2nd group consisted of 8 men, aged 21,6 and suffered from inconciousness during working time. The 3rd group consisted of 6 men, aged 19.2 with bad occupational adaptation. Results: heart rate index of 2nd and 3rd groups at rest clearly represented functional strain in comparison with that of 1st group were decreased, mean HR and SI were increased. After 30 and 60 minutes of stricly standing, all index of 3 groups were significantly greater than that at rest, but the index variation of the 1st group were higher than in 2nd and 3rd groups.
Analysis ; Heart Rate ; physiology

Based on the heart rate measurement method using time-lapse image of human cheek, this paper proposes a novel measurement algorithm based on Artificial Intelligence. The algorithm combining with fuzzy logic theory acquires the heart beat point by using the defined fuzzy membership function of each sampled point. As a result, it calculates the heart rate by counting the heart beat points in a certain time period. Experiment shows said algorithm satisfies in operability, accuracy and robustness, which leads to constant practical value.
Algorithms ; Artificial Intelligence ; Heart Rate ; physiology ; Humans

OBJECTScientific guided breathing technology is to be studied based on the cardiopulmonary interaction.

METHODSHeart rate variability was used as the target function to study the smoothly respiratory relaxation procedure in order to acquire the common pattern of regular and slow breathing.

RESULTSMusic based on the acquired common pattern was created and a musical pattern temporally-related to the breathing movement monitored by a sensor could be chosen to guide the breathing interactively.

Altitude ; Exercise/physiology* ; Heart Rate/physiology* ; Humans ; Lung ; Respiration

To determine the role of vagi in heart rate variability, conscious rabbits were employed and electrocardiogram was recorded under conditions of bilateral vagi intact, unilateral vagotomy, and bilateral vagotomy. The variability of RR intervals (RRI) was analyzed using power spectrum and approximate entropy (ApEn). The results showed that the values of high frequency power (HF) component, low frequency power (LF) component and ApEn in animals with bilateral vagi intact were the highest, but the LF/HF ratio was the lowest; unilateral vagotomy decreased ApEn, right vagotomy increased LF/HF ratio but left vagotomy did not; the LF/HF ratio increased while ApEn decreased significantly in animals with bilateral vagotomy. It is suggested that the variability of RRI is mainly regulated by the vagi and the role of right vagi is more important than that of the left. When measuring heart rate variability, the results obtained with conventional method are consistent with those with nonlinear method.
Animals ; Entropy ; Heart Rate ; physiology ; Male ; Rabbits ; Vagus Nerve ; physiology

Animals ; Chick Embryo ; physiology ; Electrocardiography ; methods ; Heart ; embryology ; physiology ; Heart Rate ; physiology

Animals ; Electrocardiography ; Heart ; physiology ; physiopathology ; Heart Rate ; physiology ; Humans ; Noise ; adverse effects ; Rats

Objective: To explore the effect of emotional optimization of workplace employees in immersive virtual natural environment. Methods: In July 2020, 15 subjects were selected to complete two groups of treadmill walking training experiments in virtual natural environment and daily environment respectively. At the same time, the subjects' skin electrical (EDA) , pulse frequency (Pf) , respiratory frequency (Rf) physiological data and Self-Assessment Manikin (SAM) data before and after walking were collected; the mean value of three dimensions of SAM and the emotion difference before and after the experiment were calculated. The differences of physiological indexes and subjective mood changes of subjects were tested by paired sample t-test. Results: Compared with the daily environment, the ΔEDA, ΔPf and ΔRf of the subjects in the virtual natural environment were all decreased , and the differences were statistically significant (P<0.05). There were statistically significant differences in pleasure and arousal between subjects before and after using the virtual natural environment (P <0.05). Compared with the daily environment, the Δpleasure degree of subjects using the virtual natural environment increased, and the Δarousal degree and Δdominance degree decreased, and the differences were statistically significant (P <0.05). Conclusion: Walking in virtual natural environment can help subjects improve their mood, relax and improve the regulation ability of autonomic nervous system.
Arousal ; Emotions/physiology* ; Heart Rate ; Humans ; Virtual Reality ; Workplace

Catecholamines ; blood ; Heart Rate ; Humans ; Water Sports ; physiology

Angiotensin II ; pharmacology ; Animals ; Heart Rate ; drug effects ; physiology ; Rabbits