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

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

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

Sort by
Same author

P2Y12-oriented computational screening and functional validation identify antiplatelet compounds with antithrombotic activity.

Journal of advanced research·2026
Same author

Study on three-dimensional stress characteristics and torsional performance of titanium-steel tool joints.

Scientific reports·2026
Same author

Hematopoietic stem and progenitor cells derived platelet lysate promotes diabetic wound healing.

Molecular medicine (Cambridge, Mass.)·2026
Same author

A regenerative and programmable iPSC-derived platelet platform for universal drug delivery and immunotherapy.

Trends in biotechnology·2026
Same author

Clinical Outcomes of Orchiopexy and the Risk of Malignancy in Postpubertal Cryptorchid Patients.

Andrology·2026
Same author

RAPT: Retrieval-Augmented Visual Prompting with Text-Guidance for Pathological Image Classification.

IEEE journal of biomedical and health informatics·2026

Related Experiment Video

Updated: Jun 19, 2026

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.9K

Dual-Stream Fusion for Advanced Spatio-Temporal Analysis in Remote Photoplethysmography.

Baoheng Liu, Jiaqing Liu, Yu Wang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary

    This study introduces a novel dual-stream framework for contactless heart rate (HR) estimation using remote photoplethysmography (rPPG). The method significantly improves accuracy by combining spatial and temporal analysis, overcoming challenges like motion and illumination changes.

    More Related Videos

    Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
    05:52

    Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

    Published on: October 20, 2019

    38.1K
    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
    08:19

    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

    Published on: October 20, 2023

    1.6K

    Related Experiment Videos

    Last Updated: Jun 19, 2026

    Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
    11:35

    Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

    Published on: December 8, 2010

    16.9K
    Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
    05:52

    Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

    Published on: October 20, 2019

    38.1K
    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
    08:19

    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

    Published on: October 20, 2023

    1.6K

    Area of Science:

    • Biomedical Engineering
    • Computer Vision
    • Signal Processing

    Background:

    • Contactless heart rate (HR) estimation via remote photoplethysmography (rPPG) faces challenges.
    • Illumination variations, motion artifacts, and head movements degrade accuracy in existing rPPG methods.

    Purpose of the Study:

    • To develop a robust dual-stream framework for accurate contactless HR estimation.
    • To enhance signal robustness and capture long-range temporal dependencies in rPPG signals.

    Main Methods:

    • A dual-stream framework integrating local spatial features and global temporal dynamics.
    • Main stream: Multi-scale feature extraction and attention mechanisms for signal robustness.
    • Auxiliary stream: Adaptive color space transformations and convolutional LSTM for temporal dependencies.

    Main Results:

    • Significantly reduced Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) compared to state-of-the-art methods.
    • Demonstrated effectiveness on the VIPL-HR dataset and in real-time monitoring.
    • The proposed approach shows superior performance in handling challenging conditions.

    Conclusions:

    • The dual-stream framework offers a robust and accurate solution for contactless HR estimation.
    • This method effectively addresses limitations of current rPPG techniques.
    • The findings support the practical application of advanced rPPG in various scenarios.