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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Vancomycin-stressed <i>Staphylococcus aureus</i> extracellular vesicles hijack macrophage autophagy to enhance bacterial intracellular survival.

Autophagy·2026
Same author

Non-contact Heart Sound Measurement by Defocused Speckle Imaging.

IEEE journal of biomedical and health informatics·2026
Same author

Mass school testing for Mycobacterium tuberculosis infection and disease in an adolescent population: A prospective cohort from eastern China.

Journal of epidemiology·2026
Same author

Converting a Cough Counter into a Cough Monitor: A Way Forward?

Medical sciences (Basel, Switzerland)·2026
Same author

Tumor Budding Is a Promising Indicator for Elective Neck Dissection in Node-Negative Early-Stage Oral Squamous Cell Carcinoma: A Retrospective Cohort Study.

Oral diseases·2026
Same author

The Efficacy and Safety of Etrasimod in Mildly to Moderately Active Ulcerative Colitis: Results From the Phase II GLADIATOR Trial.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association·2026

Related Experiment Video

Updated: Feb 27, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

1.4K

Amplitude-selective filtering for remote-PPG.

Wenjin Wang1, Albertus C den Brinker2, Sander Stuijk1

  • 1Electronic Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Biomedical Optics Express
|July 1, 2017
PubMed
Summary

We introduce amplitude-selective filtering (ASF), a novel, low-cost method for remote photoplethysmography (rPPG) signal extraction. ASF utilizes the relative pulsatile amplitude as a biometric signature, significantly improving pulse detection in fitness settings.

Keywords:
(170.3880) Medical and biological imaging(280.0280) Remote sensing and sensors

More Related Videos

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

3.2K
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

10.1K

Related Experiment Videos

Last Updated: Feb 27, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

1.4K
Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

3.2K
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

10.1K

Area of Science:

  • Physiological signal processing
  • Biometric signal analysis
  • Computer vision for healthcare

Background:

  • Remote photoplethysmography (rPPG) algorithms typically use pulse-induced color absorptions and frequency ranges.
  • Existing methods face challenges in robust pulse signal extraction, particularly in demanding applications like fitness tracking.
  • A need exists for computationally efficient and effective pre-processing techniques for rPPG signals.

Purpose of the Study:

  • To introduce a novel biometric signature: the relative pulsatile amplitude.
  • To develop a computationally low-cost and effective filtering method for rPPG based on this signature.
  • To enhance the performance of existing rPPG algorithms, especially in challenging fitness use-cases.

Main Methods:

  • Proposed amplitude-selective filtering (ASF) using the spectral amplitude of RGB channels within a specific pulsatile amplitude range.
  • Applied ASF as a pre-processing step to various multi-channel rPPG pulse extraction algorithms.
  • Benchmarked the performance of ASF combined with band-pass filtering (ASF+BPF) in fitness scenarios.

Main Results:

  • ASF significantly and consistently improved the performance of all tested multi-channel pulse extraction methods.
  • The quality differences between various rPPG algorithms were substantially reduced after applying ASF.
  • The method demonstrated effectiveness even in challenging fitness use-cases, outperforming existing approaches.

Conclusions:

  • Amplitude-selective filtering (ASF) is a simple, effective, and low-cost method for enhancing rPPG signal extraction.
  • The relative pulsatile amplitude serves as a valuable new biometric signature for generic signal filtering in rPPG.
  • ASF offers a promising solution for improving the reliability of rPPG in practical, demanding applications like fitness monitoring.