Lecture 11+12 AI generated Flashcards
Describe the most important ANS measures in nutritional research.
The most important ANS measures in nutritional research include arousal rating, noradrenalin/norepinephrine levels, skin conductance, and skin temperature.
Describe how heart rate variability measures and skin conductance level can be measured.
Heart rate variability measures can be measured using specialized equipment to track variations in heart rate, while skin conductance level can be measured by assessing the speed of electrical conductance in the skin.
Explain how ANS measures can be used in nutritional research.
ANS measures can be used in nutritional research to understand the impact of eating on emotions, moods, and wellbeing by providing objective data alongside subjective questionnaires.
Define the sympathetic nervous system’s response in the body.
The sympathetic nervous system triggers the fight or flight response, increasing blood flow to muscles, raising heart rate, and decreasing digestive motility.
Define the parasympathetic nervous system’s response in the body.
The parasympathetic nervous system increases blood flow to organs and skin, enhances digestive motility, and decreases heart rate, promoting a rest and digest state.
Explain the significance of skin conductance in measuring the sympathetic nervous system.
Skin conductance, dependent on sweat levels controlled by the sympathetic nervous system, is a key measure for assessing sympathetic activity and is considered the gold standard for SNS measurement.
Describe the placement of sensors for measuring skin conductance.
Sensors are applied to fingers, palms, or soles of the feet, typically on the index finger and ring finger where there is more sweat production.
What are the two types of changes observed in skin conductance measurements?
Tonic changes, which are slow and unrelated to events, and phasic changes, which are event-related and appear as peaks.
Define heart rate variability and how it is measured.
Heart rate variability measures the variation in time intervals between heartbeats, calculated from the ECG signal by analyzing the inter beat intervals.
How can sympathetic and parasympathetic contributions be differentiated in heart rate variability analysis?
By observing the speed of changes, where parasympathetic activity shows higher variability and faster changes, while sympathetic activity exhibits slower changes.
What is the minimum duration of recording required for heart rate variability analysis?
A minimum of 5 minutes of recording is typically needed for accurate heart rate variability assessment.
Describe the two types of signal processing methods used in heart rate variability analysis.
Time domain processing involves using inter beat intervals directly, with RMSSD as a common metric; frequency domain processing displays frequency components in a power spectrum.
Describe the relationship between the high frequency (HF) band and parasympathetic condition.
The high frequency (HF) band is related to the parasympathetic condition.
What does the low frequency (LF)/ (HF) band ratio indicate in terms of physiological conditions?
The low frequency (LF)/ (HF) band ratio is related to the sympathetic and parasympathetic condition.
How can the LF/HF ratio help determine the level of parasympathetic condition?
If the LF/HF ratio is very low, it indicates a high parasympathetic condition.