Activity-aware HRV analysis

Ji, Lijun; Wu, Jiankang; Yang, Yuanjing; Wang, Shaofeng; Li, Aiguang

doi:10.1109/icsmc.2011.6083830

Cited by 3 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To quantitatively evaluate the physical activities and define the testing scenario, in case of using Holter device, a three-dimensional accelerometer sensor is used to detect and classify posture and activity into laying, sitting or standing, walking, or running. HRV indices are then calculated when any of those postures and activities keeps for more than 10 minutes [19].…”

Section: Variabilities In Resting or Steady Testing Scenariomentioning

confidence: 99%

Quantitative Assessment of Autonomic Regulation of the Cardiac System

Huang

Zhang

et al. 2019

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Autonomic neural system (ANS) regulates the circulation to provide optimal perfusion of every organ in accordance with its metabolic needs, and the quantitative assessment of autonomic regulation is crucial for personalized medicine in cardiovascular diseases. In this paper, we propose the Dystatis to quantitatively evaluate autonomic regulation of the human cardiac system, based on homeostatis and probabilistic graphic model, where homeostatis explains ANS regulation while the probability graphic model systematically defines the regulation process for quantitative assessment. The indices and measurement methods for three well-designed scenarios are also illustrated to evaluate the proposed Dystatis: (1) heart rate variability (HRV), blood pressure variability (BPV), and respiration synchronization (Synch) in resting situation; (2) chronotropic competence indices (CCI) in graded exercise testing; and (3) baroreflex sensitivity (BRS), sympathetic nerve activity (SNA), and parasympathetic nerve activity (PNA) in orthostatic testing. The previous clinical results have shown that the proposed method and indices for autonomic cardiac system regulation have great potential in prediction, diagnosis, and rehabilitation of cardiovascular diseases, hypertension, and diabetes.

show abstract

Section: Variabilities In Resting or Steady Testing Scenariomentioning

confidence: 99%