Heart rate variability and outcome in acute severe stroke: Role of power spectral analysis

Arunodaya R. Gujjar, Talakad N. Sathyaprabha, Dindagur Nagaraja, Kandavel Thennarasu, Nithyananda Pradhan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

Introduction: Heart rate variability (HRV) is a predictor of outcome in acute myocardial infarction and head trauma. Its efficacy in predicting outcome in stroke has not been well documented. Materials and Methods: Twenty-five patients (mean age 39 years) with acute stroke treated in a stroke intensive care unit were studied. Continuous echocardiogram recorded for a 1-hour period was digitized and stored for off-line analysis. Time and frequency domain HRV measures were derived for the filtered and rectified ECG data for each patient. Clinical and HRV profiles were compared among patients who died or survived. Results: At admission, 16 patients were comatose (Glasgow Coma score

Original languageEnglish
Pages (from-to)347-353
Number of pages7
JournalNeurocritical Care
Volume1
Issue number3
DOIs
Publication statusPublished - 2004

Keywords

  • Acute stroke outcome
  • Autonomic dysfunction
  • Heart rate variability
  • Power spectral analysis

ASJC Scopus subject areas

  • Clinical Neurology
  • Critical Care and Intensive Care Medicine

Fingerprint Dive into the research topics of 'Heart rate variability and outcome in acute severe stroke: Role of power spectral analysis'. Together they form a unique fingerprint.

Cite this