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

Endoscopic Studies II: Thoracocentesis01:26

Endoscopic Studies II: Thoracocentesis

Thoracentesis(Thoracocentesis), commonly known as pleural tap, is a medical procedure where a 22 gauge needle is inserted into the pleural space, the area between the lung and chest wall. This procedure is commonly performed to diagnose or treat various respiratory disorders.
Description
Excess pleural fluid or air may accumulate in some respiratory disorders in the thoracic cavity. To treat pleural effusion, a physician conducts thoracentesis by carefully piercing the chest wall and entering...
Assessment of the Abdomen III: Palpation01:23

Assessment of the Abdomen III: Palpation

Palpation is a crucial tactile examination method for assessing abdominal organs and detecting conditions like tenderness, distention, masses, or fluid. It involves both light and deep palpation techniques, each serving specific diagnostic purposes. Light palpation helps identify tenderness and other surface-level indicators, while deep palpation locates and assess abdominal masses and organ boundaries. A skilled professional can gather valuable insights through palpation, including evaluating...
Assessment of the Abdomen I: Inspection and Auscultation01:25

Assessment of the Abdomen I: Inspection and Auscultation

Introduction
The abdominal examination is a cornerstone of clinical medicine, serving as a critical tool in diagnosing various gastrointestinal (GI) diseases. It involves a systematic approach that includes inspection and auscultation, each with distinct yet complementary roles in assessing the abdomen. This article will delve into these two primary methods healthcare professionals use to examine the abdomen.
Inspection of the Abdomen
The first step in any abdominal examination is inspection.
Assessment of the Abdomen II: Percussion01:18

Assessment of the Abdomen II: Percussion

Percussion is a fundamental technique used to assess the liver, spleen, and abdominal organs by tapping the abdomen and interpreting the resulting sounds. This method helps identify fluid, distention, and masses through variations in sound, such as the high-pitched tympany of air-filled areas and the dullness of solid masses. Understanding how to percuss these organs provides valuable information for healthcare professionals in diagnosing conditions early.
Percussion
Percussion is an essential...

You might also read

Related Articles

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

Sort by
Same author

Impact of non-pharmaceutical interventions during the early phase of COVID-19 pandemic on paediatric ICU admissions in Canada and France: a multicentre descriptive cohort and interrupted time-series analysis of non-SARS-CoV-2 viral admissions.

BMJ public health·2026
Same author

When Kids Radiate: Low-Resolution Thermography for Total Energy Expenditure Estimation in Pediatric Patients - A Proof of Concept.

IEEE open journal of engineering in medicine and biology·2026
Same author

Response to Reader Comment on "Risk Factors and Causes of Readmission to the Pediatric Intensive Care Unit After Cardiac Surgery".

World journal for pediatric & congenital heart surgery·2026
Same author

Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset.

IEEE journal of translational engineering in health and medicine·2025
Same author

Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring.

IEEE open journal of engineering in medicine and biology·2024
Same author

Machine and Deep Learning Models for Hypoxemia Severity Triage in CBRNE Emergencies.

Diagnostics (Basel, Switzerland)·2024

Related Experiment Video

Updated: Jul 3, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.5K

PICU Face and Thoracoabdominal Detection Using Self-Supervised Divided Space-Time Mamba.

Mohamed Khalil Ben Salah1, Philippe Jouvet2, Rita Noumeir1

  • 1Biomedical Information Processing Laboratory, École de Technologie Supérieure, University of Quebec, Montreal, QC H3C 1K3, Canada.

Life (Basel, Switzerland)
|November 27, 2025
PubMed
Summary

We developed Divided Space-Time Mamba for non-contact vital sign monitoring in pediatric intensive care units. This efficient architecture ensures stable anatomical tracking and reliable physiological signal extraction, even with limited data.

Keywords:
PICUmultimodal RGB-Dnon-contact vital sign monitoringself-supervised learningstate space models

More Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.6K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

1.2K

Related Experiment Videos

Last Updated: Jul 3, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.5K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.6K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

1.2K

Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Artificial Intelligence

Background:

  • Non-contact vital sign monitoring in Pediatric Intensive Care Units (PICUs) faces challenges like occlusions and data scarcity.
  • Existing methods struggle with stable anatomical tracking for reliable physiological signal extraction.
  • Traditional detectors lack stability, and video transformers are computationally intensive for clinical hardware.

Purpose of the Study:

  • To introduce an efficient and robust architecture for non-contact vital sign monitoring in PICUs.
  • To address limitations of existing methods in terms of tracking stability, data scarcity, and computational cost.
  • To enable real-time, reliable physiological signal extraction from patient videos.

Main Methods:

  • Developed Divided Space-Time Mamba (a novel architecture) decoupling spatial and temporal feature learning using State Space Models.
  • Implemented self-supervised pre-training with masked autoencoders on over 50,000 domain-specific video clips to address data scarcity.
  • Utilized multimodal RGB-D input to enhance model robustness.

Main Results:

  • Achieved linear-time complexity, over 92% lower than standard transformers.
  • Demonstrated superior performance with 0.96 mAP@0.5, 0.62 mAP50-95, and 0.95 rotated IoU.
  • Operated at 23 FPS with 43 ms latency, outperforming VideoMAE and YOLOv8 in speed.

Conclusions:

  • Divided Space-Time Mamba offers a computationally efficient and robust solution for non-contact vital sign monitoring in PICUs.
  • The proposed method overcomes data scarcity and ensures stable anatomical tracking for reliable physiological signal extraction.
  • The model's real-time performance makes it suitable for clinical deployment in resource-limited environments.