The Autonomic Nervous System, comprising the Sympathetic Nervous System (SNS) and Parasympathetic Nervous System (PNS), regulates essential physiological functions such as heart rate and blood pressure.
These systems help control blood pressure through the baroreflex (or baroreceptor reflex) mechanism(1). The baroreflex is a homeostatic physiological mechanism that regulates blood pressure at constant levels. Baroreceptors, located in major arteries, veins, and in the heart, detect changes in blood pressure. Through a feedback loop, these baroreceptors enable the autonomic nervous system to swiftly adjust the heart rate and arterial resistance, providing rapid regulation via a negative feedback mechanism.
Heart Rate Variability (HRV) refers to the variation in time between consecutive heartbeats. It is controlled by the autonomic nervous system and influenced by factors like age and sex. The SNS and PNS work together to regulate HRV by either speeding up or slowing down the heart rate, depending on the body’s needs.
Baroreflex sensitivity (BRS) and Heart Rate Variability (HRV) are key indicators used to detect cardiovascular diseases, neurological conditions (e.g., stress, anxiety), and other disorders (e.g., inflammation, chronic pain, diabetes, asthma, cancer). Reduced HRV and BRS are linked to heart disease, poor cardiac autonomic tone, high blood pressure, and metabolic syndromes, making them vital tools for monitoring health.
Time and frequency domain analysis are effective methods to analyse heart rate dynamics with respect to Heart Rate Variability (HRV).
The HRV Module in ecgAUTO provides the ability to perform both time and frequency domain analysis with little effort and a high degree of flexibility. The time-domain indices in the HRV module quantify the amount of variability in measurements of the interbeat interval (IBI) observed during monitoring periods that are user defined but can be as small as 2 min and up to 24 h. Frequency-domain values calculate the absolute or relative amount of signal energy within frequency bands. These frequency bands are in part defined by The Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996). The Fast Fourier Transform (FFT) is responsible for converting the R-R’ intervals, after being resampled, into the frequency domain.
In ecgAUTO, BRS is computed using what is usually called the “sequence method”.
The software locates “sequences” of #n consecutive beats, where Blood Pressure (BP, i.e systolic, diastolic, or mean) and Beat to Beat Interval (BB, i.e the time between 2 consecutive beats) both increase.
The software plots BB vs BP of every sequence found in a record and performs a linear regression of the BB vs SBP plots.
The slope of the linear regression is the baroreflex sensitivity (BRS). A high value of BRS means that heart rate is significantly affected by a change of pressure.
The variations in blood pressure and heart rate are signals that can be monitored in vivo using implanted telemetry. Standard parameters such as systolic, diastolic and mean blood pressure may be retrieved through an intraarterial catheter. Telemetry methods allow for continuous and stress-free measurement of variations in these parameters.
emkaPACK5 system allows for simultaneous acquisition of ECG and Blood pressure data in large animals to without confounding effects of surgery or anesthesia.
When subjects are particularly fragile and cannot tolerate surgery or anesthesia, as with cardiomyopathy or pulmonary hypertension, emkaPACK5 is a good alternative to implanted telemetry.
ecgTUNNEL benefits of an innovative design allowing for ECG acquisition in small animals without confounding effects of surgery or anesthesia.
When subjects are particularly fragile and cannot tolerate surgery or anesthesia, as in cardiomyopathy disease, ecgTUNNEL is a good alternative to implanted telemetry.
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