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Related Concept Videos

Reflex Activity01:08

Reflex Activity

A reflex activity is an automatic, involuntary response to specific stimuli. It is a part of our survival mechanism, designed to protect us from potential harm. For example, when a bright light suddenly shines into our eyes, we instinctively close them or look away. This is a simple reflex activity orchestrated by the nervous system without conscious thought or effort.
A reflex exam is a diagnostic procedure performed by a healthcare professional to evaluate the functionality of a patient's...

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Related Experiment Video

Updated: Jun 23, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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Electromyography-Based Control of Lower Limb Prostheses: A Systematic Review.

Bahareh Ahkami1, Kirstin Ahmed1, Alexander Thesleff2

  • 1Center for Bionics and Pain Research, 43130 Mölndal, Sweden, and also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.

IEEE Transactions on Medical Robotics and Bionics
|September 1, 2023
PubMed
Summary
This summary is machine-generated.

Controlling prosthetic legs with electromyography (EMG) signals shows promise but faces significant challenges. Research indicates that EMG signal quality, electrode placement, and control algorithms need improvement for reliable prosthetic leg function.

Keywords:
Electromyography (EMG)control algorithmscontrol architecturelower limb amputationmovement intention recognitionpattern recognition

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroprosthetics

Background:

  • Lower limb amputations are common, yet advanced prosthetic legs do not yet utilize electromyography (EMG) for control.
  • Despite technological progress, integrating EMG signals into prosthetic leg control remains an active research area.

Purpose of the Study:

  • To systematically review current research on controlling lower limb prosthetics using electromyography (EMG) signals.
  • To identify challenges and variations in methodologies for EMG-based prosthetic leg control.

Main Methods:

  • A systematic literature search was conducted across four databases (Web of Science, Scopus, PubMed, Science Direct) up to June 2022.
  • Included studies focused on prosthetic leg systems (ankle/knee actuators) controlled by decoding gait intent using EMG, alone or with other sensors.
  • 1,331 papers were initially screened, with 121 ultimately included in the review.

Main Results:

  • The review identified a growing research interest in EMG-controlled prosthetic legs.
  • Significant challenges persist in EMG signal quality, electrode stability, prosthetic hardware, and control algorithms for practical application.
  • Considerable heterogeneity was observed in control methods, participant types, recording protocols, assessments, and prosthetic hardware across studies.

Conclusions:

  • Controlling prosthetic legs with EMG signals is complex and requires further advancements for robust, everyday use.
  • Improvements in signal processing, hardware integration, and standardized control strategies are crucial for developing effective EMG-based lower limb prosthetics.