Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Correlation between ECG and Cardiac Cycle

Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...

You might also read

Related Articles

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

Sort by

Same author

Knee extensor muscles of active older adults with knee osteoarthritis are smaller and weaker but not more fatigable than healthy older adults: Relevance to physical function.

Osteoarthritis and cartilage open·2026

Same author

Plantar flexor muscle size, composition and strength and the redistribution of joint work in gait of healthy older adults.

bioRxiv : the preprint server for biology·2026

Same author

A Functional Sensor-to-Segment Calibration Method Reduces the Effects of Varied Sensor Placement on Estimates of Segment Angular Excursion.

Journal of applied biomechanics·2026

Same author

A distal-to-proximal shift is not a requisite mechanism for greater metabolic cost of walking in older adults.

Journal of biomechanics·2025

Same author

Knee Biomechanics in Individuals With a Recent Concussion During Jump-Landing Tasks.

Journal of athletic training·2025

Same author

Synthesizing Research in Sport and Exercise: Transitioning to Real-World Data and Data Science.

Journal of applied biomechanics·2025

Same journal

Gait analysis in children with bladder exstrophy shows increased hip adduction, knee valgus and external foot progression in comparison with control participants.

Gait & posture·2026

Same journal

Correlation between plantar pressure and foot morphology in 65 + year-old individuals.

Gait & posture·2026

Same journal

Dual-task interference during a functional mobility task in Parkinson's disease persists across medication states.

Gait & posture·2026

Same journal

Test-retest reliability of spatiotemporal, kinematic, and kinetic measures in marker-based 3D gait analysis: A systematic review.

Gait & posture·2026

Same journal

Effects of auditory perturbations on recovery dynamics as a component of locomotor resilience in healthy young and older adults.

Gait & posture·2026

Same journal

Systematic analysis of success of lower limb muscle combinations in the prediction of ankle biomechanics during stair descent: Guiding input selection in sEMG-based prosthetic control.

Gait & posture·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 12, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Published on: July 17, 2020

Variability of segment coordination using a vector coding technique: Reliability analysis for treadmill walking and

Jocelyn F Hafer¹, Katherine A Boyer¹

¹Musculoskeletal and Orthopedic Biomechanics Laboratory, Department of Kinesiology, University of Massachusetts Amherst, United States of America.

|November 9, 2016

Summary

This summary is machine-generated.

Calculating coordination variability (CV) requires 10 strides for reliable treadmill walking and running data. This measure of motor system flexibility differs between walking and running, particularly in thigh-shank coordination.

Keywords:

Coordination variability Gait Reliability Running Vector coding Walking

More Related Videos

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

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

Published on: July 26, 2013

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

Related Experiment Videos

Last Updated: Mar 12, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Published on: July 17, 2020

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

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

Published on: July 26, 2013

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

Area of Science:

Biomechanics
Motor Control
Human Locomotion

Background:

Coordination variability (CV) assesses motor system flexibility.
The number of strides needed for reliable CV calculation is unknown.
CV is increasingly used as a marker of motor system health.

Purpose of the Study:

Determine the minimum strides for reliable CV calculation in treadmill walking and running.
Compare CV between walking and running in healthy individuals.
Investigate segment coordination variability during locomotion.

Main Methods:

Ten healthy adults performed treadmill walking and running at preferred speeds.
A modified vector coding technique calculated CV for specific segment couples.
CV was computed using 2-15 strides, analyzed across the gait cycle and its phases.

Main Results:

Eight strides were sufficient for reliable CV in running.
Ten strides were sufficient for reliable CV in walking.
Significant differences in CV were found between walking and running for thigh-shank couplings.

Conclusions:

Approximately 10 strides of treadmill data are needed for reliable CV estimation in walking and running.
Differences in CV between gait types suggest distinct knee (thigh-shank) control strategies.
CV can differentiate between walking and running coordination patterns.