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Cited by 4ECG Monitoring and AnalysisAdvanced Computational Techniques in Science and EngineeringNon-Invasive Vital Sign Monitoring

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Studies on biomedical signal processing: A review

Jalagam, Mahesh Kumar, Mittal, Vinay Kumar·2024·AIP Conference Proceedings
DOI 10.1063/5.0159010
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Abstract

The main aim of this manuscript is to write a brief a study on various biomedical signal processing.This paper reviews the bases of signal processing in digital domain, a prominent path for biomedical signal processing.Abundant approaches have been performed on biomedical signal processing concerned with ECG, EEG, EMG and PCG exclusively over biomedical, Neurological, Cardio logical signal processing's and other biomedical Equipment's.Various databases, having signal processing methods, features, classifiers, and performance results have been put forward, which are worthwhile for researchers, biomedical engineers, and clinicians.It contents the appropriate filters used for biomedical Applications.Major classifications such as CNN, RNN, LSTM, ANN and Fuzzy neural networks (FNN) linked with AI have been analyzed in this article.The recent research of the AI based biomedical signal processing was also embedded here.Comparisons have been made between different parameters of various methods, techniques, and Classifiers utilized in biomedical signal processing.The performance results have been extracted from various databases and kept before for a better implementation of biomedical Signal Processing.

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Metadata

Authors
Jalagam, M. K., & Mittal, V. K.
Affiliations
Koneru Lakshmaiah Education Foundation (IN)
Corresponding author
Jalagam, Mahesh Kumar
ORCID
Jalagam, Mahesh Kumar
Venue
AIP Conference Proceedings
Publisher
AIP Publishing
Published
2024
Volume
2512
Pages
020005
ISSN
0094-243X (ISSN-L)
DOI
10.1063/5.0159010
OpenAlex
W4391098241
Cited by
4
References
61
Citations by year
2026: 1 · 2025: 3
FWCI
5.79
Type
conference paper
Language
en
Open access
closed
Locations
AIP conference proceedings (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Computational Techniques in Science and Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
biomedical signal processing, digital signal processing, ECG, EEG, electromyography, biomedical signal classification, artificial neural networks, convolutional neural networks, recurrent neural networks, LSTM, fuzzy neural network

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