A technical guide to cardiovascular monitoring in autonomic research: From preclinical sensors to wearable technologies.

The autonomic nervous system regulates cardiovascular function essential for homeostasis, and its impairment contributes to disorders including neurogenic orthostatic hypotension, postural orthostatic tachycardia syndrome, and syncope. Quantifying cardiovascular autonomic physiology is therefore paramount in both clinical and research settings to support diagnosis, to mechanistically interrogate autonomic control during physiological challenge, and to test new treatments. As many autonomic abnormalities are expressed through changes in cardiac timing, blood pressure control, and hemodynamic redistribution, cardiovascular monitoring remains a cornerstone of autonomic phenotyping. In this review, we synthesize and compare technologies used to measure key cardiovascular signals relevant to autonomic function, spanning cardiac electrical activity (ECG-derived rhythm and R-R intervals for heart rate/heart rate variability), vascular pressure (intermittent versus beat-to-beat, and central versus peripheral blood pressure), and flow/volume surrogates that inform redistribution and cardiac output dynamics. Within each domain, we consider measurement approaches across invasiveness tiers, from highly invasive and implantable methods to less invasive tools and emerging wearable modalities, highlighting what each method directly measures versus estimates and the implications for interpretation. This continuum increasingly enables longer-duration and ambulatory assessments, creating opportunities to link symptoms to physiology, track dynamic treatment responses, and extend autonomic phenotyping beyond laboratories and hospitals, while highlighting ongoing needs for accuracy, robustness, calibration, and long-term stability in everyday environments.