Investigation of heart rate variability of patients undergoing coronary artery bypass grafting using the statistical signal characterization method

Abdulnasir Hossen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


BACKGROUND: Autonomic function can be estimated non-invasively using heart rate variability (HRV). HRV of patients undergoing coronary artery bypass grafting (CABG) is investigated in time-domain and frequency-domain before and after CABG to study the effect of operation on the status of patients. OBJECTIVE: The main purpose of this work is to evaluate the effect of CABG surgery on patients with ischemic heart disease (IHD) before operation, and to monitor the status of patients on day 6 and day 30 after the CABG operation. METHODS: The statistical signal characterization (SSC) technique is used in this work in order to derive different morphology-based parameters to indirectly describe time-domain and frequency-domain HRV parameters in 24 patients undergoing CABG operation, before the operation (Group 1: G1), 6 days after operation (Group 2: G2) and 30 days after operation (Group 3: G3). The data is obtained from the Sultan Qaboos University Hospital in Oman. RESULTS: The SSC parameters Mean(mt) and Mean(dt) are reduced in all 24 patients and in 23 out of 24 patients in G2 compared to G1 (6-days after operation compared with before operation), respectively. Comparing G3 to G1 the reduction in Mean(mt) and Mean(dt) is noted in 18 of the 24 patients. CONCLUSIONS: The parameters Mean(mt) and Mean(dt) are successful parameters to follow the HRV for patients undergoing CABG surgery. A relation between those SSC parameters and the HRV time-domain and frequency-domain parameters is investigated in this paper to understand the physiological behavior of the patients.

Original languageEnglish
Pages (from-to)579-590
Number of pages12
JournalTechnology and Health Care
Issue number3
Publication statusPublished - 2022


  • CABG
  • frequency-domain
  • HRV
  • signal morphology
  • statistical signal characterization
  • time-domain

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Information Systems
  • Biomaterials
  • Biomedical Engineering
  • Health Informatics

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