Short- and Long-term HRV Measurements After Osteopathic Myofascial Thoracic Manipulations

Heart Rate Variability

heart rate variability, autonomous nervous system, osteopathy, osteopathy manipulative treatment, visceral, pericardium

The adaptation of the heart to react to any stimulus is called heart rate variability (HRV). Moreover, HRV is now used as a health index. In fact, among the pathologies affecting HRV the most, there are the cardiovascular diseases and depressive disorders that take a predominant part in the investigator's actual societies, According to a recent literature overview, many factors influence HRV and they need to be determined in order to plan efficient research protocols. Moreover, the control of these factors can improve the HRV and therefore help the heart to have maximum capacity to fulfill its physiological functions. Valorizing a good HRV seems, according to the effects reported by several studies, to be a good opportunity to take into consideration and to apply. Visceral osteopathy, even if it goes back to the founder of Osteopathy himself, Andrew Taylor Still, is at its debuts in terms of acknowledgement from a scientific point of view. The evidence of efficacy of osteopathy is not to be done anymore. However, it is now necessary to define the action mechanisms of the osteopathic techniques, particularly by using physiological variables, and starting from a biomechanical angle. In fact, Jean-Pierre Barral and others has developed visceral manipulation techniques based on the viscera anatomy. The originality of this research can be found in the technical protocol, not used yet, the use of witness group, the measurements over four weeks to evaluate the effect of this protocol with time on chosen dependant variables, its reproducibility but also its inter-therapist variance. This objective if this study is to reinforce the proof level of the osteopathic approach on the cardiac physiology. HRV is a solid tool recognized for research, the variable is well isolated and the control group ensures an isolation of some confounding variables.

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