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Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

Muscle Stimulation Frequency

Muscle Stimulation Frequency

The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...

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Related Experiment Video

Updated: Jun 14, 2025

Extraction of the EPP Component from the Surface EMG

Extraction of the EPP Component from the Surface EMG

Published on: December 16, 2009

Day-To-Day Variation in Masseteric Electromyographic Waveforms During the Diurnal Awake State.

Yu Nakagawa¹, Taihiko Yamaguchi², Tomoya Ishimaru³

¹Department of Crown and Bridge Prosthodontics, Faculty of Dental Medicine, Hokkaido University, Sapporo, Japan.

Journal of Oral Rehabilitation

|June 12, 2025

Summary

This summary is machine-generated.

Day-to-day variation in diurnal masseter electromyography (d-EMG) was assessed to establish diagnostic criteria for awake bruxism (AB). Bursts per hour and episodes per hour showed the least variation, providing valuable reference data for future AB assessment.

Keywords:

awake bruxism bruxism coefficient of variation day‐to‐day variation masseter muscle wearable EMG device

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Last Updated: Jun 14, 2025

Extraction of the EPP Component from the Surface EMG

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Published on: December 16, 2009

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Published on: March 27, 2021

Area of Science:

Neurology
Biomedical Engineering
Dental Sleep Medicine

Background:

Establishing diagnostic criteria for awake bruxism (AB) requires understanding diurnal masseter electromyography (d-EMG) waveform variations.
Day-to-day variability (d-variation) in d-EMG is crucial for accurate assessment.

Purpose of the Study:

To investigate the day-to-day variability of various d-EMG waveform indices.
To provide reference data for developing diagnostic criteria for AB.

Main Methods:

91 volunteers were monitored using a wearable EMG device over three days within two weeks.
Key indices including bursts/h, episodes/h, and burst integral values were calculated.
Coefficient of variation (CV) was used to quantify day-to-day variability for each index.

Main Results:

No significant differences were found in the five measured indices across the three days.
The number of bursts/h (median CV 0.276) and episodes/h (median CV 0.233) exhibited the lowest day-to-day variation.
A trend indicated that higher numbers of waveforms correlated with smaller CVs.

Conclusions:

The study provides essential reference data on the day-to-day variability of d-EMG indices.
Findings support the development of reliable diagnostic and assessment criteria for awake bruxism using masseter EMG.