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

You might also read

Related Articles

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

Sort by
Same author

Electrical stimulation of the upper limb in stroke: stimulation of the extensors of the hand vs. alternate stimulation of flexors and extensors.

American journal of physical medicine & rehabilitation·2004
Same author

Daily hassles and stress vulnerability in patients with a whiplash-associated disorder.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation·2002
Same author

Application of a dual channel peroneal nerve stimulator in a patient with a "central" drop foot.

Acta neurochirurgica. Supplement·2002
Same author

Differences in treatment outcome between subgroups of patients with chronic low back pain using lumbar dynamometry and psychological aspects.

Clinical rehabilitation·2001
Same author

Functional electrical stimulation by means of the 'Ness Handmaster Orthosis' in chronic stroke patients: an exploratory study.

Clinical rehabilitation·2001
Same author

Cervical muscle dysfunction in the chronic whiplash associated disorder grade II (WAD-II).

Spine·2000

Related Experiment Video

Updated: Jun 8, 2026

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
14:55

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Published on: April 18, 2011

Estimation uncertainty in ensemble averaged surface EMG profiles during gait.

R F Kleissen1, G Zilvold

  • 1Roessingh Research and Development, Roessinghsbleekweg 33, 7522 AH Enschede, The Netherlands.

Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|September 28, 2010
PubMed
Summary

Stochastic estimation errors significantly impact ensemble averaged electromyographic profiles (EAEPs) used in gait analysis. Understanding these errors, related to EMG signal properties and detector design, is crucial for accurate analysis.

More Related Videos

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Related Experiment Videos

Last Updated: Jun 8, 2026

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
14:55

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Published on: April 18, 2011

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Signal Processing

Background:

  • Ensemble averaged electromyographic profiles (EAEPs) are vital for gait analysis.
  • Quantifying surface electromyography (EMG) signals involves linear envelope detection.
  • Variability in EAEPs can stem from signal processing and muscle activity.

Purpose of the Study:

  • To theoretically investigate properties of EAEPs in gait analysis.
  • To model surface EMG signals and linear envelope detection as an estimation problem.
  • To identify sources of variability in EAEPs.

Main Methods:

  • Modeled surface EMG as an amplitude-modulated Gaussian random signal.
  • Interpreted smoothed rectified EMG (SRE) as an estimate of local standard deviation.
  • Introduced an equivalent impulse response for the linear envelope detector's lowpass filter.

Main Results:

  • Stochastic estimation errors can substantially contribute to EAEP variability.
  • These errors are influenced by EMG signal spectral characteristics.
  • Detector's lowpass filter design and muscle activity dynamics affect estimation errors.

Conclusions:

  • Theoretical analysis provides insights into EAEP variability in gait analysis.
  • Understanding estimation errors is key for improving EMG signal quantification.
  • The study highlights the interplay between signal properties, detector design, and muscle activity.