Back close

Compressed ECG Sensing Based RR Interval Measurement for Fast Entropy Analysis of Heart Rate Variability

Publication Type : Conference Paper

Publisher : IEEE

Source : 9thIEEE International Conference on Signal Processing and Communication (ICSC), Noida, India pp. 1-6, 2023

Url : https://ieeexplore.ieee.org/document/10441299

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Year : 2023

Abstract : This paper investigates the feasibility of using compressed electrocardiogram (ECG) sensing for R-peak detection in conjunction with entropy-based non-linear heart rate variability (NLHRV) analysis to assess the complexity and irregularity of the heart rate variability (HRV) signal. Non-linear measures offer valuable insights beyond conventional time-domain and frequency-domain features, making them instrumental in understanding these intricate dynamics. In the context of resource-constrained wearable internet of things (IoT) devices, computing HRV parameters from high-resolution (HR) ECG signals presents computational and energy consumption challenges. To address this, compressed ECG sensing for R-peak detection emerges as a promising approach for expedited processing. This study focuses on the application of entropy-based NLHRV analysis to evaluate various clinical and functional conditions using ultra-short-term (1 minute) segments of ECG data. A comparative analysis is presented, employing both compressed ECG sensing for R-peak detection and conventional HR R-peak detection. Specifically, 48 ECG records from the MIT-BIH arrhythmia database (MIT-BIH-AD) and 18 ECG records from the MIT-BIH normal sinus rhythm database (MIT-BIH-NSRD) are used for the analysis. The 7 out of 10 entropy indices have presented more than 85% similar results. These findings signify the applicability of compressed ECG sensing-based entropy measures through NLHRV analysis for rapid health monitoring using ultra-short-term ECG signals.

Cite this Research Publication : H. Singh, M. S. Manikandan,and R. B. Pachori, “Compressed ECG Sensing Based RR Interval Measurement for Fast Entropy Analysis of Heart Rate Variability,” 9thIEEE International Conference on Signal Processing and Communication (ICSC), Noida, India pp. 1-6, 2023

Admissions Apply Now