Related Experiment Video

Updated: Jul 24, 2026

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

44.0K

Editorial: Advancements in smart diagnostics for understanding neurological behaviors and biosensing applications

Saad Arif1, Muhammad Zia Ur Rehman2, Zohaib Mushtaq3

  • 1Department of Mechanical Engineering, College of Engineering, King Faisal University, Al Ahsa, Saudi Arabia.

Frontiers in Computational Neuroscience
|October 2, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
biosensing techniquesbrain-computer interfacehuman-computer interactionintelligent healthcaremachine and deep learningneurobehavior analysisphysiological monitoringsmart diagnostics

More Related Videos

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor06:19

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor

Published on: January 12, 2018

9.4K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.0K

Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...