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Related Concept Videos

Aliasing01:18

Aliasing

284
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
284
Upsampling01:22

Upsampling

351
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
351
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

791
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
791
Bandpass Sampling01:17

Bandpass Sampling

280
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
280
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

471
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...
471
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

424
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
424

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Related Experiment Video

Updated: Oct 10, 2025

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

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Aliasing affects ActiLife software raw accelerometry to count conversion from different sampling frequencies.

M Garnotel, C Simon, S Bonnet

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Accelerometry counts can be overestimated when using higher sampling frequencies (fs>30 Hz) with ActiLife software. This error, caused by aliasing, can be corrected by adjusting antialiasing filter parameters before processing the acceleration signal.

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    Area of Science:

    • Biomedical Engineering
    • Physical Activity Measurement
    • Signal Processing

    Background:

    • Accelerometers are crucial for objective physical activity quantification.
    • ActiGraph accelerometers record acceleration signals at various sampling frequencies (fs).
    • ActiLife software may compute additional counts from signals with fs>30 Hz compared to default fs=30 Hz.

    Purpose of the Study:

    • Investigate the origin of erroneous accelerometry counts in ActiLife software.
    • Identify the cause of count overestimation with higher sampling frequencies.
    • Recommend an adjusted method to ensure accurate physical activity data.

    Main Methods:

    • Generated synthetic piecewise-frequency sinusoidal signals (0-15 Hz) at fs=30, 50, and 100 Hz.
    • Resampled artificial acceleration raw signals to 30 Hz using different antialiasing lowpass filters.
    • Computed ActiLife counts and analyzed the impact of aliasing on the results.

    Main Results:

    • Improperly attenuated aliasing replicas induced by antialiasing filters caused spurious frequencies within the ActiLife bandpass filter.
    • Fictitious accelerometry counts were reproduced for signals around 10 Hz.
    • Count overestimations at fs=50 and 100 Hz were attributed to aliasing within the ActiLife count filter's frequency bandwidth.

    Conclusions:

    • Aliasing due to inadequate antialiasing filtering is the primary cause of accelerometry count overestimation in ActiLife software at higher sampling frequencies.
    • Adjusting antialiasing filter parameters prior to ActiLife processing can prevent erroneous counts.
    • Accurate physical activity data can be ensured through appropriate signal preprocessing or advanced mathematical programming.