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Related Concept Videos

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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 drone...
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

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Related Experiment Videos

ε-Tube regression: a new method for motion artifact reduction.

Sardar Ansari1, Kevin Ward, Kayvan Najarian

  • 1Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA. ansaris2@mymail.vcu.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

This study presents ε-tube regression (ε-TR), a novel method for reducing motion artifacts in physiological signals. ε-TR effectively removes motion artifacts from arm impedance signals by modeling only the artifact itself.

Related Experiment Videos

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Physiological Monitoring

Background:

  • Motion artifacts are a common challenge in physiological signal acquisition.
  • Accurate physiological signal analysis requires effective artifact removal techniques.

Purpose of the Study:

  • To introduce a new regression method, ε-tube regression (ε-TR), for motion artifact reduction.
  • To demonstrate the efficacy of ε-TR in removing motion artifacts from physiological signals, specifically arm impedance signals.

Main Methods:

  • Developed ε-tube regression (ε-TR), a novel approach that forms a 'tube' around the data.
  • The method models only the motion artifact, distinguishing it from the target physiological signal.
  • Incorporated information about the motion artifact's shape into the approximation process.

Main Results:

  • ε-tube regression (ε-TR) successfully modeled and isolated motion artifacts.
  • The method effectively removed motion artifacts from impedance signals measured on the arms.
  • The target physiological signal remained uncompromised after artifact removal.

Conclusions:

  • ε-tube regression (ε-TR) is a promising technique for motion artifact reduction in physiological signals.
  • This method offers a robust solution for improving the quality of impedance measurements.
  • Further applications of ε-TR in other physiological signals are warranted.