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Related Concept Videos

Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

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Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
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Regulation of Stroke Volume01:27

Regulation of Stroke Volume

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The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
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Cardiac Output and Stroke Volume01:11

Cardiac Output and Stroke Volume

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Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
In an average resting adult male, the typical cardiac...
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Correlation between ECG and Cardiac Cycle01:25

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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Cyclic stroke mortality variations follow sunspot patterns.

Stella Geronikolou1, Alexandros Leontitsis2, Vasilis Petropoulos3

  • 1Clinical, Translational and Experimental Surgery, Biomedical Research Foundation of the Academy of Athens, Athens, 11527, Greece.

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|January 14, 2021
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Summary
This summary is machine-generated.

Stroke deaths in Piraeus, Greece, fluctuated with sunspot activity, revealing a potential 6.8-day cycle. This finding could inform public health planning and chronotherapy.

Keywords:
ChronomeNCOR1R1 interactomeSingular Spectrum ApproachStroke mortalitySunspot numbers

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Area of Science:

  • Chronobiology and environmental influences on health.
  • Public health research in Mediterranean populations.

Background:

  • Time-structure mapping is crucial for P4 medicine.
  • Mediterranean populations, particularly in East-Mediterranean regions like Piraeus, have limited local evidence regarding time-structure influences on health.
  • Genetic homogeneity and specific dietary patterns (low fat/sugar, high protein, fruits/vegetables, olive oil) characterized the Piraeus population before 1990.

Purpose of the Study:

  • To investigate the relationship between sunspot activity and stroke-related mortality in a specific Mediterranean population.
  • To identify potential non-anthropogenic cycles influencing public health events.

Main Methods:

  • Censused stroke-related death events (D) in Piraeus from 1985-1989.
  • Collected sunspot numbers (Wolf numbers, Rz) from 1944-2004.
  • Analyzed data using Fast Fourier Analysis and Singular Spectrum Analysis in MATLAB.

Main Results:

  • Stroke deaths (D) exhibited fluctuations greater than 35% correlated with sunspot numbers (Rz).
  • A distinct, non-anthropogenic cycle of approximately 6.8 days was identified in relation to these fluctuations.

Conclusions:

  • The identified 6.8-day cycle suggests a potential link between solar activity and stroke mortality.
  • Findings warrant consideration for future public health planning and chronotherapy evaluations.