Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

[QRS detection based on neural-network].

X Yu1, X Xu

  • 1Electronic Science and Engineering Department, Nanjing University.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|July 6, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Rapid detection of non-deletional alpha-thalassemia mutations by PCR-LIS-SSCP].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2000
Same author

Correlation between expression of peroxisome proliferator-activated receptor beta and squamous differentiation in epidermal and tracheobronchial epithelial cells.

Molecular and cellular endocrinology·1999
Same author

Murine fibroblast growth factor receptor 1alpha isoforms mediate node regression and are essential for posterior mesoderm development.

Developmental biology·1999
Same author

Particulate matter, sulfur dioxide, and pulmonary function in never-smoking adults in Chongqing, China.

International journal of occupational and environmental health·1999
Same author

Two multiplex PCR-based DNA assays for the thrombosis risk factors prothrombin G20210A and coagulation factor V G1691A polymorphisms.

Thrombosis research·1999
Same author

Murine protein kinase CK2: gene and oncogene.

Molecular and cellular biochemistry·1999
Same journal

[Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Mechanisms and applications of magnesium ion-regulated stem cell functions in promoting tendon-bone interface healing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research on auditory neurofeedback technology and its multi-disciplinary applications].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
See all related articles

This study introduces an artificial neural network (ANN) adaptive filter for improved QRS detection in electrocardiogram (ECG) signals. The novel method effectively removes noise, achieving a 99.2% detection rate on a noisy dataset.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Artificial Intelligence

Background:

  • Electrocardiogram (ECG) signals contain complex, time-varying, nonlinear noise.
  • Accurate QRS complex detection is crucial for diagnosing cardiac arrhythmias.
  • Traditional filtering methods struggle with non-stationary noise in ECG.

Purpose of the Study:

  • To develop an adaptive matched filtering algorithm for robust QRS detection.
  • To model and remove nonlinear, non-stationary noise from ECG signals.
  • To enhance the accuracy of QRS complex identification in noisy recordings.

Main Methods:

  • An artificial neural network (ANN) adaptive whitening filter was employed.
  • The ANN filter modeled low-frequency, nonlinear components of the ECG.

Related Experiment Videos

  • A linear matched filter processed the residual signal for QRS detection.

    • Main Results:

    • The ANN adaptive whitening filter effectively removed time-varying, nonlinear noise.
    • The algorithm achieved a 99.2% QRS detection rate on a challenging noisy ECG record.
    • This performance surpasses the 97.8% detection rate of traditional band-pass filtering.

    Conclusions:

    • The proposed ANN-based adaptive matched filtering algorithm offers superior performance for QRS detection.
    • This novel approach provides a robust solution for analyzing noisy ECG signals.
    • The method demonstrates significant potential for clinical arrhythmia diagnosis.