China
Africa
Explore chapters and articles related to this topic
The End of the Whole Mess
Published in Sue Binkley, Biological Clocks, 2020
Biorhythm charting as a predictor would be useful, except for one thing, and that is intra-individual variability. Even within one individual, day to day variation is large. I have not promised you magic. For magic you need to turn to a fortune cookie or to gipsies who can tell your fortune with Gypsy Witch Tarot cards and read the lines in the palm of your hand. Astrology also attempts to foresee the future from the motions of the sun, and moon, and stars. None of this nonsense has anything to do with your biological clock as I have described it here.
Effects of Environmental Factors on the Endocrine System
Published in George H. Gass, Harold M. Kaplan, Handbook of Endocrinology, 2020
The period of biorhythms varies greatly from several seconds to many years. For example, in the smooth muscle of the digestive tract in humans and other mammals, there are rhythms in mechanical and electrical activity with periods ranging from 2 s to 2.5 h.16 Based on period length, there are four common classes of reproductive rhythms: annual, daily, infradian, and ultradian.
The Effect of Premenstrual Symptoms on Creative Thinking
Published in Diana L. Taylor, Nancy F. Woods, Menstruation, Health, and Illness, 2019
The subjects were invited to participate in a study of creativity and biorhythms. They were told that participation would require two 90-min testing sessions and approximately 30 min to fill out miscellaneous questionnaires. Female subjects were also asked to take their temperatures daily for 6 weeks and to record them on a graph.
Classifier for the functional state of the respiratory system via descriptors determined by using multimodal technology
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2023
Sergey Alekseevich Filist, Riad Taha Al-kasasbeh, Olga Vladimirovna Shatalova, Altyn Amanzholovna Aikeyeva, Osama M. Al-Habahbeh, Mahdi Salman Alshamasin, Korenevskiy Nikolay Alekseevich, Mohammad Khrisat, Maksim Borisovich Myasnyankin, Maksim Ilyash
The body’s biorhythms carry information about the functional state (FS) of its systems and subsystems. Consequently, the analysis of the variability of biorhythms makes it possible to assess the functional state of the system as a whole, especially at the stages of transition states, when qualitative changes occur. In humans, in this regard, heart rate variability is the most studied. At the same time, it has been convincingly shown that the methods of dynamic analysis of bioelectric signals make it possible to diagnose the critical state of the myocardium. In humans, it is customary to distinguish four groups of main wave peaks: HF-range - from 0.15 to 0.4 Hz; LF - from 0.04 to 0.15 Hz; VLF in the range from 0.003 to 0.04 Hz and ULF in the range from 0.0001 to 0.003 Hz (Filist et al. 2022; Filist et al., n.d.; Sin et al. 2010).
New integrative approaches to discovery of pathophysiological mechanisms triggered by night shift work
Published in Chronobiology International, 2022
Hans G. Richter, Natalia Mendez, Diego Halabi, Claudia Torres-Farfan, Carlos Spichiger
Rodent models have been extensively used to investigate the effects of work outside of regular daytime hours, given that the mechanisms of the circadian molecular clock are highly conserved among mammals and, therefore, the impact of circadian disruption could be similar (Cederroth et al. 2019; Dunlap and Loros 2017; Richter et al. 2004). Animal models are suitable for telemetry-based biorhythms profiling, and they are crucial in testing hypotheses of adverse effects secondary to meal mistiming or meal composition. Many of the animal models are used to explore the outcomes from shifting of either timing of sleep separately, pattern of activity, timing of food intake or, alternatively, they are used to analyze the effect of exposure to ALAN (Lunn et al. 2017; Russart and Nelson, 2017; Guerrero-Vargas et al. 2018).
Economical bluetooth low energy-based telemetry system with combined data processing method for long-term laboratory animal monitoring for biological rhythm research
Published in Chronobiology International, 2021
Hua Luo, Shuting Cheng, Zhou Jiang, Wang Hou, Zhengrong Wang
The Chronomics Analysis Toolbox (CAT) (Lee Gierke and Cornelissen 2016) is a free R studio package for biological rhythm analysis, developed by the University of Minnesota, that can perform a variety of functions, such as actogram, periodogram of the biorhythm, and so on. What we used here was cosinor analysis, a widely utilized analysis tool based on the approximation of a cosine waveform for rhythm detection and characterization (Cornelissen 2014; Halberg et al. 1967; Nelson and JK 1979). The basic principle of the cosinor analysis is that, within a given time period, the cosine curve is fitted to the data by the least square method, thereby obtaining a model of the following form, as shown in Eq. (2):