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

What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

242
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
242
Vapor Pressure02:34

Vapor Pressure

40.6K
When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules move randomly about, they will occasionally collide with the surface of the condensed phase, and in some cases, these collisions will result in the molecules re-entering the condensed phase. The change from the gas phase to the liquid is called condensation. When the rate of condensation becomes equal to the rate of vaporization, neither the amount of the liquid nor the amount of the vapor...
40.6K
Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer02:57

Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer

43.3K
Gas pressure is caused by force exerted by gas molecules colliding with the surfaces of objects. Although the force of each collision is very small, any surface of an appreciable area experiences a large number of collisions in a short time, which can result in high pressure.
43.3K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.7K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.7K
Constant Pressure Calorimetry03:02

Constant Pressure Calorimetry

97.7K
Calorimetry is a technique used to measure the amount of heat involved in a chemical or physical process or to measure the heat transferred to or from a substance. The heat is exchanged with a calibrated and insulated device called the calorimeter. Calorimetry experiments are based on the assumption that there is no heat exchange between the insulated calorimeter and the external environment. The well-insulated calorimeters prevent the transfer of heat between the calorimeter and its external...
97.7K

You might also read

Related Articles

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

Sort by
Same author

Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort.

Radiology·2026
Same author

ProtoFlow: interpretable and robust surgical workflow modeling with learned dynamic scene graph prototypes.

International journal of computer assisted radiology and surgery·2026
Same author

Toward comprehensive real-time scene understanding in ophthalmic surgery through multimodal image fusion.

International journal of computer assisted radiology and surgery·2026
Same author

DefSynUS: Real-time patient-specific intrahepatic vessel identification via deformation-aware CT-US domain adaptation.

International journal of computer assisted radiology and surgery·2026
Same author

Smartphone photogrammetry for rapid 3D surface modeling of head and neck specimens to support frozen section communication: A feasibility pilot study.

Oral oncology·2026
Same author

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis.

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition·2026

Related Experiment Video

Updated: Feb 1, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K

Patient 3D body pose estimation from pressure imaging.

Leslie Casas1, Nassir Navab2, Stefanie Demirci2

  • 1Computer Aided Medical Procedures, Technische Universität München, Boltzmannstr 3, 85748, Garching, Germany. leslie.casas@tum.de.

International Journal of Computer Assisted Radiology and Surgery
|December 16, 2018
PubMed
Summary

We developed two methods for real-time in-bed patient pose estimation using pressure sensor data. These techniques accurately determine patient posture, even with limited sensor contact, enhancing clinical monitoring.

Keywords:
ConvNetsDeep learningHashingHuman pose estimationPatient monitoringPressure sensors

More Related Videos

Whole-body PET/MRI of Pediatric Patients: The Details That Matter
10:02

Whole-body PET/MRI of Pediatric Patients: The Details That Matter

Published on: December 19, 2017

15.3K
Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
06:20

Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension

Published on: December 5, 2020

2.9K

Related Experiment Videos

Last Updated: Feb 1, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K
Whole-body PET/MRI of Pediatric Patients: The Details That Matter
10:02

Whole-body PET/MRI of Pediatric Patients: The Details That Matter

Published on: December 19, 2017

15.3K
Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
06:20

Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension

Published on: December 5, 2020

2.9K

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Medical Informatics

Background:

  • In-bed motion monitoring is crucial for clinical applications.
  • Image-based methods are non-intrusive but face environmental challenges.
  • Pressure sensors offer an alternative for non-intrusive patient monitoring.

Purpose of the Study:

  • To estimate patient posture using pressure sensor data mapped to images.
  • To introduce novel deep learning and content-retrieval methods for pose estimation.

Main Methods:

  • A deep learning (ConvNet) approach to retrieve human poses from pressure sensor data.
  • A content-retrieval approach based on hashing techniques.

Main Results:

  • Both methods demonstrated good performance, even with minimal patient contact with sensors.
  • Deep learning approaches are viable for medical applications with limited training data.
  • The ConvNet approach provides overall posture estimation even with reduced mattress surface contact.

Conclusions:

  • Two real-time in-bed patient pose estimation methods were successfully developed.
  • The methods are robust to variations in patient size and activity.
  • Accurate posture estimation is achievable even with limited sensor contact.