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

You might also read

Related Articles

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

Sort by

Same author

Regulatory measures for mitigating physical and mental health impacts in aerospace environment: A systematic review.

Life sciences in space research·2025

Same author

Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset.

Scientific data·2025

Same author

Adaptive Neurofeedback Training Using a Virtual Reality Game Enhances Motor Imagery Performance in Brain-Computer Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2025

Same author

Corrigendum to "Sendai virus-based immunoadjuvant in hydrogel vaccine intensity-modulated dendritic cells activation for suppressing tumorigenesis" [Bioact. Mater. 6 (2021) 3879-3891].

Bioactive materials·2025

Same author

Enhanced theta oscillations in the left temporoparietal region associated with refractory positive symptoms in schizophrenia.

Schizophrenia (Heidelberg, Germany)·2025

Same author

Cortical changes induced by increased cognitive task difficulty during dual task balancing correlate with postural instability in elders and patients with Parkinson's disease.

Journal of neural engineering·2025

Search research articles

Related Experiment Video

Updated: Aug 29, 2025

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Published on: July 7, 2023

An adaptive reflexive control strategy for walking assistance system based on functional electrical stimulation.

Hongtao Dong¹, Jie Hou¹, Zhaoxi Song¹

¹Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.

Frontiers in Neuroscience

|September 12, 2022

Summary

This study introduces an adaptive functional electrical stimulation (FES) controller that personalizes lower limb assistance for improved gait. The system enhances joint motion and has potential for motor relearning in neuroprosthetic applications.

Keywords:

adaptive reflexive control strategy functional electrical stimulation (FES)gait assistance lower limbs neurorehabilitation

More Related Videos

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

Related Experiment Videos

Last Updated: Aug 29, 2025

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Published on: July 7, 2023

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

Area of Science:

Biomedical Engineering
Neurorehabilitation
Robotics

Background:

Functional electrical stimulation (FES) neuroprostheses aid gait rehabilitation for stroke and spinal cord injury patients.
Current systems often require manual adjustments and lack individual adaptability.
A multiple-channel FES system for lower limb assistance has been developed.

Purpose of the Study:

To integrate a purely reflexive FES controller with an iterative learning algorithm.
To establish a multiple-channel FES walking assistance system using an adaptive reflexive control strategy.
To enhance gait performance and joint motion through personalized FES.

Main Methods:

Developed a real-time gait phase detection system for accurate feedback.
Implemented a reflexive controller generating stimulation sequences based on gait events.
Integrated an iterative learning algorithm to update stimulation sequences over five gait cycles.
Validated the system with ten healthy adults comparing adaptive, reflexive, and no FES control.

Main Results:

The adaptive FES controller successfully generated personalized stimulation sequences for various treadmill speeds.
Significant improvements in maximum, minimum, and range of motion (ROM) were observed for hip, knee, and ankle joints.
Hip and knee flexion, along with ankle dorsiflexion, showed particular improvement compared to purely reflexive FES.

Conclusions:

The adaptive FES system demonstrates effective personalization of lower limb assistance.
The system shows potential for enhancing motor relearning and promoting neural plasticity.
This adaptive approach offers a promising advancement in FES neuroprosthetics for gait rehabilitation.