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

[Clinical observation of the application of disposable decomposing soft injection probe in the treatment of complex anal fistula under local infiltration anesthesia induced by propofol].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery·2025
Same author

[Early auditory processing of speech in prelingually-deafened children with cochlear implants based on event-related potentials].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
Same author

Surgical treatment of nasopharyngeal cancer - a consensus recommendation from two Chinese associations.

Rhinology·2023
Same author

[Safety evaluation of simultaneous administration of quadrivalent influenza split virion vaccine and 23-valent pneumococcal polysaccharide vaccine in adults aged 60 years and older].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2023
Same author

[Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2023
Same author

[Analysis of relationship between distribution of pathogenic microorganisms in olfactory cleft and olfactory disorders among patients with upper respiratory inflammation during the prevention and control of COVID-19].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2022
Same journal

Continuous tracking of aortic aneurysm diameter with peripheral pulse waves: a computational framework combining sequential Markov chain Monte Carlo with Kalman filtering.

Physiological measurement·2026
Same journal

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same journal

Augmenting single-lead ECG interpretation through QRS waveform decomposition and rotation.

Physiological measurement·2026
Same journal

Dynamic Beat-to-Beat Blood Pressure Estimation using a Multi-modal Wearable Deep Learning Approach.

Physiological measurement·2026
Same journal

Dual warm-start fusion versus attention-based fusion in low-label ECG-PCG classification: a controlled ablation study.

Physiological measurement·2026
Same journal

Inter-patient multi-label ECG classification via low-rank adaptation fine-tuned large language models with dynamic graph convolutional network.

Physiological measurement·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

RLS adaptive filtering for physiological interference reduction in NIRS brain activity measurement: a Monte Carlo

Y Zhang1, J W Sun, P Rolfe

  • 1School of Electrical Engineering and Automation, Harbin Institute of Technology, No. 92 West Da-zhi Street, Nangang District, Harbin, People's Republic of China. zyhit@hit.edu.cn

Physiological Measurement
|May 4, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a recursive least-squares (RLS) algorithm to reduce physiological interference in near-infrared spectroscopy (NIRS) brain measurements. The RLS algorithm demonstrates superior performance over LMS in minimizing interference and improving signal quality for functional haemodynamics.

More Related Videos

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

Related Experiment Videos

Last Updated: May 22, 2026

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Optical Imaging

Background:

  • Near-infrared spectroscopy (NIRS) enables non-invasive measurement of cerebral functional haemodynamics.
  • Physiological interference significantly degrades NIRS signal quality, hindering accurate brain activity assessment.
  • Effective suppression of interference is critical for reliable NIRS-based neuroimaging.

Purpose of the Study:

  • To develop and evaluate an adaptive filtering algorithm for reducing physiological interference in NIRS measurements.
  • To compare the performance of the recursive least-squares (RLS) algorithm against the least mean squares (LMS) algorithm for interference suppression.
  • To investigate the impact of NIRS probe configuration and superficial layer thickness on algorithm performance.

Main Methods:

  • Monte Carlo simulations were performed using a five-layer adult head model.
  • Multidistance source-detector arrangements (short and long pairs) were employed for NIRS simulation.
  • Recursive least-squares (RLS) and least mean squares (LMS) adaptive filtering algorithms were implemented for interference removal.

Main Results:

  • The RLS algorithm exhibited faster convergence and a smaller mean squared error (MSE) compared to the LMS algorithm.
  • RLS demonstrated greater capability in minimizing physiological interference in NIRS signals.
  • Near-detector positioning and short source-detector separations (<9 mm) were found to be crucial for minimizing MSE and ensuring robustness to superficial layer variations.

Conclusions:

  • The RLS algorithm offers a more effective solution for mitigating physiological interference in NIRS brain measurements.
  • Optimizing NIRS probe configuration, specifically interoptode distance, is essential for enhancing signal quality.
  • The findings provide valuable insights for improving NIRS instrumentation and data analysis for neuroimaging applications.