Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Nanoscale LiZnN - Luminescent Half-Heusler Quantum Dots.

ACS applied optical materials·2023
Same author

Patient Characteristics and Variables Influencing Acute Medical Flow.

Acute medicine·2023
Same author

Referral rates of patients with diabetes to secondary care are inversely related to the prevalence of diabetes in each primary care practice and confidence in treatment, not to HbA1c level.

Primary care diabetes·2021
Same author

Carbogen inhalation during non-convulsive status epilepticus: A quantitative exploratory analysis of EEG recordings.

PloS one·2021
Same author

TetraGrip - a four channel upper limb FES device for people with C5/C6 tetraplegia: device design and clinical outcome.

Journal of medical engineering & technology·2020
Same author

HYPOTHYROXINAEMIA AND BRAIN DEVELOPMENT.

Acta endocrinologica (Bucharest, Romania : 2005)·2019
Same journal

News and Product Update.

Journal of medical engineering & technology·2026
Same journal

PMMA based ultra miniaturized implantable antenna for biotelemetry applications.

Journal of medical engineering & technology·2026
Same journal

Comparative machine learning for accurate EEG-based epileptic seizure state classification using sub-band analysis.

Journal of medical engineering & technology·2026
Same journal

Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

Journal of medical engineering & technology·2026
Same journal

Power transition signatures of vibroarthrographic spectrograms for diagnosing knee joint pathologies.

Journal of medical engineering & technology·2026
Same journal

News and product update.

Journal of medical engineering & technology·2026
See all related articles

Related Experiment Video

Updated: Mar 31, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

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

Published on: April 12, 2016

11.0K

Upper limb functional electrical stimulation devices and their man-machine interfaces.

L Venugopalan1,2, P N Taylor1, J E Cobb2

  • 1a The National Clinical FES Centre, Salisbury District Hospital , Salisbury , Wiltshire , UK and.

Journal of Medical Engineering & Technology
|October 29, 2015
PubMed
Summary
This summary is machine-generated.

Functional Electrical Stimulation (FES) helps paralyzed individuals regain arm function. Current devices are limited, necessitating a more versatile FES system for broader use in daily activities.

Keywords:
Activities of daily livingFunctional electrical stimulationHemiplegiaMan–machine interfacesTetraplegia

More Related Videos

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

2.0K
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.6K

Related Experiment Videos

Last Updated: Mar 31, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

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

Published on: April 12, 2016

11.0K
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

2.0K
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.6K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroscience

Background:

  • Functional Electrical Stimulation (FES) activates paralyzed muscles via electrical impulses.
  • FES aids individuals with hemiplegia, multiple sclerosis, Parkinson's disease, and spinal cord injury (SCI).
  • Existing upper limb FES devices, like the NESS H200, have limitations, including rigid splints and restricted grip functionality.

Purpose of the Study:

  • To review existing upper limb FES devices and their man-machine interfaces (MMI).
  • To identify limitations in current commercially available FES technology.
  • To highlight the need for a more robust and versatile upper limb FES device.

Main Methods:

  • Literature review of upper limb FES devices and their man-machine interfaces (MMI).
  • Analysis of device features, limitations, and commercial availability.
  • Assessment of FES impact on activities of daily living (ADL) restoration.

Main Results:

  • Only the NESS H200 upper limb FES device was found to be commercially available.
  • The NESS H200's rigid splint limits its applicability and prevents tenodesis grip.
  • A significant need exists for improved FES devices.

Conclusions:

  • Current upper limb FES technology is insufficient for widespread adoption.
  • A versatile and adaptable FES device is required to benefit a larger patient population.
  • Further development in FES technology is crucial for restoring upper limb function and independence.