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

The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K
Introduction to Special Senses01:26

Introduction to Special Senses

7.5K
Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
7.5K
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

799
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
799
Equation of Motion: General Plane motion01:22

Equation of Motion: General Plane motion

581
In the context of a rigid body's movement within a general plane, it is important to understand that this motion is typically triggered by external forces or couple moments exerted onto it. This principle can be explained through Newton's second law, which stipulates the translational motion of the body's center of mass along each axis.
Moreover, the body's center of mass experiences a rotational effect as a result of these couple moments. This rotation can be articulated as the...
581
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

565
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
565
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

505
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
505

You might also read

Related Articles

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

Sort by
Same author

Updated consensus terminology and definitions in chest electrical impedance tomography.

Physiological measurement·2026
Same author

FEM-based volume estimation using electrode catheter measurements.

Journal of electrical bioimpedance·2026
Same author

For a better understanding of thermoregulation in premature infants≤28 weeks of gestation: infrared thermography (IRT) and photoplethysmography imaging (PPGI) in a hybrid camera model as non-contact measuring methods.

Zeitschrift fur Geburtshilfe und Neonatologie·2026
Same author

A systematic review of pandemic ventilator designs.

Biomedizinische Technik. Biomedical engineering·2026
Same author

Spatial temperature monitoring of preterm infants using a multi-modal camera setup.

Medical & biological engineering & computing·2026
Same author

Non-contact monitoring of vital parameters in preterm infants: Insights from infrared thermography and photoplethysmography imaging.

Zeitschrift fur Geburtshilfe und Neonatologie·2026

Related Experiment Video

Updated: Feb 2, 2026

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
04:10

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy

Published on: July 19, 2024

1.3K

Modelling and Synthesizing Motion Artifacts in Unobtrusive Multimodal Sensing using Copulas.

Felix Berief, Steffen Leonhardt, Christoph Hoog Antink

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
    PubMed
    Summary

    Researchers developed a novel method to generate artificial multi-sensor motion artifacts for non-contact vital sign monitoring. This approach aids in training and validating algorithms, improving remote patient monitoring systems.

    More Related Videos

    Multimodal Optical Imaging Platform for Studying Cellular Metabolism
    04:47

    Multimodal Optical Imaging Platform for Studying Cellular Metabolism

    Published on: June 6, 2025

    1.1K
    Quantitative Measurement of Intrathecally Synthesized Proteins in Mice
    08:23

    Quantitative Measurement of Intrathecally Synthesized Proteins in Mice

    Published on: November 29, 2019

    11.7K

    Related Experiment Videos

    Last Updated: Feb 2, 2026

    Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
    04:10

    Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy

    Published on: July 19, 2024

    1.3K
    Multimodal Optical Imaging Platform for Studying Cellular Metabolism
    04:47

    Multimodal Optical Imaging Platform for Studying Cellular Metabolism

    Published on: June 6, 2025

    1.1K
    Quantitative Measurement of Intrathecally Synthesized Proteins in Mice
    08:23

    Quantitative Measurement of Intrathecally Synthesized Proteins in Mice

    Published on: November 29, 2019

    11.7K

    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Remote Sensing

    Background:

    • Non-contact sensing offers improved remote patient monitoring for vital signs.
    • Motion artifacts significantly challenge the accuracy of non-contact vital sign estimation.
    • Developing robust systems requires addressing motion artifact influence.

    Purpose of the Study:

    • To investigate motion artifacts and their inter-dependencies in multi-sensor systems.
    • To derive a multivariate mathematical model for motion artifacts.
    • To propose a general algorithm for synthesizing artificial multi-sensor motion artifacts.

    Main Methods:

    • Analysis of motion artifact inter-dependence in multi-sensor data.
    • Development of a multivariate mathematical artifact model.
    • Implementation of a synthesizing algorithm for artificial motion artifacts.
    • Comparison of synthesized artifacts with real-world data using qualitative and quantitative measures.

    Main Results:

    • A multivariate mathematical model for motion artifacts was successfully derived.
    • A general algorithm for synthesizing arbitrary numbers of multi-sensor motion artifacts was proposed.
    • Both qualitative (signal morphology) and quantitative (statistical distance) analyses demonstrated high accuracy of the synthesized artifacts compared to real ones.

    Conclusions:

    • The proposed method effectively generates realistic artificial motion artifacts for multi-sensor systems.
    • This facilitates the training and validation of algorithms for non-contact vital sign monitoring.
    • The synthesized artifacts improve the robustness and accuracy of remote monitoring solutions.