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

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.9K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.9K
Discrete Fourier Transform01:15

Discrete Fourier Transform

961
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
961

You might also read

Related Articles

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

Sort by
Same author

Case Report: Low-frequency tibial nerve stimulation: demonstrating a novel therapeutic option for Fowler's syndrome through a pilot case series.

Frontiers in urology·2026
Same author

Adaptive Gait-Based Control for Assistive Robots Supporting Elderly on Inclined Surfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Planning and delivering co-creation workshops: practical lessons from digital health device design.

Frontiers in digital health·2026
Same author

Dynamic hand exercise recognition for game-based finger rehabilitation.

Scientific reports·2026
Same author

Physiology of everyday sleep and physical activity: An exploratory mixed-methods study of multi-sensor wearables for infants and toddlers.

Behavior research methods·2026
Same author

Scalability of random forest in myoelectric control.

Journal of neural engineering·2025

Related Experiment Video

Updated: Feb 20, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.2K

Real-time physiological tremor estimation using recursive singular spectrum analysis.

Kabita Adhikari, Sivanagaraja Tatinati, Kalyana C Veluvolu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Singular Spectrum Analysis (SSA) and its recursive version (RSSA) to improve surgical instrument tremor cancellation. These methods accurately separate tremor from voluntary motion, enhancing surgical precision and outcomes.

    More Related Videos

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.2K
    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
    09:42

    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

    Published on: January 24, 2025

    1.4K

    Related Experiment Videos

    Last Updated: Feb 20, 2026

    Experimental Methods to Study Human Postural Control
    08:12

    Experimental Methods to Study Human Postural Control

    Published on: September 11, 2019

    10.2K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.2K
    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
    09:42

    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

    Published on: January 24, 2025

    1.4K

    Area of Science:

    • Biomedical Engineering
    • Robotics
    • Signal Processing

    Background:

    • Physiological hand tremor degrades surgical instrument precision, leading to suboptimal outcomes.
    • Current tremor cancellation methods rely on adaptive filtering, requiring highly correlated reference signals.
    • Pre-filtering in existing techniques introduces delays and phase distortions, hindering accurate tremor signal generation.

    Purpose of the Study:

    • To present a novel tremor cancellation technique using Singular Spectrum Analysis (SSA) and Recursive Singular Spectrum Analysis (RSSA).
    • To accurately decompose hand motion into voluntary and tremor components for improved cancellation.
    • To evaluate the real-time performance and accuracy of SSA/RSSA compared to conventional methods.

    Main Methods:

    • Singular Spectrum Analysis (SSA) and its recursive version (RSSA) were employed to decompose hand motion signals.
    • The algorithms differentiate voluntary motion (large eigenvalues) from tremor components (small eigenvalues).
    • Specific decomposed signals were selected based on eigenvalues and spectral range for accurate reconstruction.

    Main Results:

    • Offline estimation of the tremor signal from whole motion achieved up to 85% accuracy.
    • Real-time tremor signal estimation, with a delay of approximately 72ms, reached at least 70% accuracy.
    • The achieved real-time delay was significantly shorter (one-tenth) than conventional linear-phase bandpass filters for similar performance.

    Conclusions:

    • SSA and RSSA offer an effective approach for accurately separating tremor from voluntary hand motion.
    • This novel technique significantly reduces delays and phase distortions compared to traditional methods.
    • The improved tremor cancellation enhances surgical instrument precision, potentially leading to better surgical outcomes.