UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2303053


Registration ID:
509366

Page Number

a404-a411

Share This Article


Jetir RMS

Title

STUDY ON USAGE OF PRV METRICS FOR HEART HEALTH ASSESSMENT: A TIME-BASED SYSTEMATIC INVESTIGATION

Abstract

The research work presented here discusses the pulse rate variability analysis using the photoplethysmogram signals (PPG) signals. Pulsatile signals, can be used to extract pulse rate variability (PRV), which describes changes in pulse rate over time. PRV analysis is made quicker and simpler to this research's contribution to PRV analysis.An automatic PRV detection algorithm developed is analyses the PPG signals to identify ectopic beats and correct any errors made during the detection procedure. In presented works mainly works on various time segmented PPG signals recorded under various ambulatory conditions. Presented works also will be evaluated by compiling a database of normal person pulses and a database of heart patient pulses and comparing them according to various signal variation lengths with the metrics values for better cardiac system assesment. Here we have taken reference signals from different data bases using PHYSIO BANK ATM. This is done in consideration of the pulse rate variability (PRV) metrics such as measures in the time domain (AVNN, SDNN, SDSD, RMSSD, pNN20, pNN50, PPAVG) and the frequency domain (VLF, LF, HF, LF/HF ratio, total power). When everything else fails, get out the correlation chart, the average accuracy is 99.39%, average sensitivity is 99.92%, average DER is 0.0067% and positive predictivity is 99.39% of the different data bases are calculated.

Key Words

ECG,PPG,PRV, AVNN, SDNN, SDSD, RMSSD, pNN20, pNN50, VLF, LF, HF, LF/HF.

Cite This Article

"STUDY ON USAGE OF PRV METRICS FOR HEART HEALTH ASSESSMENT: A TIME-BASED SYSTEMATIC INVESTIGATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.a404-a411, March-2023, Available :http://www.jetir.org/papers/JETIR2303053.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"STUDY ON USAGE OF PRV METRICS FOR HEART HEALTH ASSESSMENT: A TIME-BASED SYSTEMATIC INVESTIGATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppa404-a411, March-2023, Available at : http://www.jetir.org/papers/JETIR2303053.pdf

Publication Details

Published Paper ID: JETIR2303053
Registration ID: 509366
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: a404-a411
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000310

Print This Page

Current Call For Paper

Jetir RMS