Heart Rate Variability State Research Articles

Heart rate variability at different emotional intelligence in healthcare workers of PCR laboratories

The ongoing pandemic caused by a new coronavirus infection (SARS-CoV-2) continues to place increased demands on the activities of clinical diagnostic laboratories. Medical personnel involved in this work often experience significant physical and emotional overload associated with being in the "red zone". This study aimed to analyze the state of heart rate variability in medical workers of PCR laboratories with different emotional intelligence when working in the conditions of the COVID-19 pandemic.

Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human Epilepsy.

Over a third of patients suffering from epilepsy continue to live with recurrent disabling seizures and would greatly benefit from personalized seizure forecasting. While electroencephalography (EEG) remains most popular for studying subject-specific epileptic precursors, dysfunctions of the autonomous nervous system, notably cardiac activity measured in heart rate variability (HRV), have also been associated with epileptic seizures. This work proposes an unsupervised clustering technique which aims to automatically identify preictal HRV changes in 9 patients who underwent simultaneous electrocardiography (ECG) and intracranial EEG presurgical monitoring at the University of Montreal Hospital Center. A 2-class k-means clustering combined with a quantitative preictal HRV change detection technique were adopted in a subject- and seizure-specific manner. Results indicate inter and intra-patient variability in preictal HRV changes (between 3.5 and 6.5 min before seizure onset) and a statistically significant negative correlation between the time of change in HRV state and the duration of seizures (p<0.05). The presented findings show promise for new avenues of research regarding multimodal seizure prediction and unsupervised preictal time assessment.Clinical Relevance- This study proposed an unsupervised technique for quantitatively identifying preictal HRV changes which can be eventually used to implement an ECG-based seizure forecasting algorithm.

TREATMENT OF PATIENTS WITH TRANSIENT IMPAIRMENT OF THE CEREBRAL CIRCULATION

The study involved 83 patients with passing infringements of brain blood circulation (PIBBC), among which are 55 patients with a transient ischemic attack and 28 patients with a cerebral hypertensive crisis, 13 volunteers. On the 1st and 10th day after PIBBC for patients and once for volunteers the state of heart rate variability with the indices: a standard deviation of consecutive RR-intervals (SDNN), ms; percentage of pairs of consecutive RR-intervals differing by more than 50 ms during the recording period (pNN50), %; a mode (Mo), s; a mode amplitude (AMO), %; a range of ΔX, s were determined. To determine a vegetative tone, a stress index (IN) was calculated. The second stroke or ischemic events were detected by means of telephone interviews over the period of 3 months. In the group with the use of addition cholinomimetic therapy on the first day of hospitalization, a higher SDNN value was in comparison with the control group (р = 0.048); in the comparison group (р = 0.003), SDNN exceeded 75 % of the interquartile range of normal values (25–36 ms). After the 10-day course of treatment, changes in SDNN were not observed in the both groups, and in the main group SDNN remained above the control indices (р = 0.016). During therapy this group showed a tendency to decrease IN1/2 with significantly lower values compared in the control group (р = 0.009) and in the comparison group (р = 0.008). The unfavorable prognosis of acute ischemic events in the PIBBC group with the use of parasympathomimetic therapy was determined during a 3-month period as a greater percentage of recurrent ischemic events. Based on the data obtained, SDNN is proposed for use as a predictive parameter for the personification of the appointment of cholinomimetic therapy.

Heart Rate Variability—State of The Art

Heart Rate Variability—State of The Art