About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
phat 24(1):

Research Article

Pre-processing the Photoplethysmography Signals for Enhancing the Cardiovascular Diseases Detection for Wrist Pulse Analysis in Nadi Ayurveda

Download97 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eetpht.10.5640,
        author={Aditya Tandon and Vivek Kumar and Tanupriya Choudhury},
        title={Pre-processing the Photoplethysmography Signals for Enhancing the Cardiovascular Diseases Detection for Wrist Pulse Analysis in Nadi Ayurveda},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={PHAT},
        year={2024},
        month={4},
        keywords={Photoplethysmography Signal, Primary Denoising, Two-stage Adaptive Noise Cancellation, Detrended Filter, Wavelet Transform, Premature ventricular contraction, Nadi Ayurveda},
        doi={10.4108/eetpht.10.5640}
    }
    
  • Aditya Tandon
    Vivek Kumar
    Tanupriya Choudhury
    Year: 2024
    Pre-processing the Photoplethysmography Signals for Enhancing the Cardiovascular Diseases Detection for Wrist Pulse Analysis in Nadi Ayurveda
    PHAT
    EAI
    DOI: 10.4108/eetpht.10.5640
Aditya Tandon1,*, Vivek Kumar1, Tanupriya Choudhury2
  • 1: Quantum University
  • 2: Graphic Era University
*Contact email: askaditya@ieee.org

Abstract

INTRODUCTION: In recent years, Photoplethysmography (PPG) signal has played a vital role in detecting Cardiovascular Diseases (CVDs) in case of wrist pulse analysis emulating the Nadi Ayurveda. The PPG signals acquired from the sensor measurement are severely distorted by various artifacts, which significantly impact the accuracy of disease detection and hamper the disease diagnosis process. OBJECTIVES: Removing the noises is essential before detecting CVDs from the signals and thus, developing a simple and effective noise reduction method for enhancing the PPG signal quality constitutes a challenging research problem, particularly with prominent artifacts. METHODS: This paper designs an effective pre-processing technique that improves denoising methods to enhance the PPG signal quality. The design of pre-processing technique contains two major phases: Primary denoising-based artifact removal and secondary denoising-based Premature Ventricular Contraction (PVC) detection and Power-Line Interference (PLI) noise removal. The primary denoising method involves coarse and fine-grained filtering. The coarse-grained filtering removes the major artifacts, such as Baseline Wander (BLW) and Motion Artifacts (MA), by developing the Two-Stage Adaptive Noise Canceller (TANC) method. The fine-grained filtering process utilizes a detrended filter to filter the refined signal obtained from the TANC method. For the signals filtered from the primary denoising method, the secondary denoising method targets to detect the PVC-induced PPG signals from the decomposed high-frequency signals and removes high-frequency noise, such as PLI from noisy signals, by adopting the Wavelet Transform (WT) method. RESULTS: During the signal reconstruction process in the WT method, the research work reconstructs the denoised PPG signals along with the PVC-induced PPG signals. The experimental results of the noise removal methodology illustrated significant improvements in PPG signal quality. CONCLUSION: The designed pre-processing technique effectively denoises PPG signals, leading to enhanced signal quality which can further aid in accurate disease detection.

Keywords
Photoplethysmography Signal, Primary Denoising, Two-stage Adaptive Noise Cancellation, Detrended Filter, Wavelet Transform, Premature ventricular contraction, Nadi Ayurveda
Received
2023-12-29
Accepted
2024-03-28
Published
2024-04-04
Publisher
EAI
http://dx.doi.org/10.4108/eetpht.10.5640

Copyright © 2024 A. Tandon et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL