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The neurons that restore walking after paralysis

open access: yesNature, 2022
A spinal cord injury interrupts pathways from the brain and brainstem that project to the lumbar spinal cord, leading to paralysis. Here we show that spatiotemporal epidural electrical stimulation (EES) of the lumbar spinal cord1–3 applied during ...
Laetitia Baud, Ruijia Wang, J S Keller
exaly   +2 more sources

Reducing the energy cost of human walking using an unpowered exoskeleton

open access: yesNature, 2015
With efficiencies derived from evolution, growth and learning, humans are very well-tuned for locomotion. Metabolic energy used during walking can be partly replaced by power input from an exoskeleton, but is it possible to reduce metabolic rate without ...
Steven H Collins, Clifton E Barry
exaly   +2 more sources

Walking naturally after spinal cord injury using a brain–spine interface

open access: yesNature, 2023
A reliable digital bridge restored communication between the brain and spinal cord and enabled natural walking in a participant with spinal cord injury. A spinal cord injury interrupts the communication between the brain and the region of the spinal cord
H. Lorach   +33 more
semanticscholar   +1 more source

A Deep CNN Framework for Neural Drive Estimation From HD-EMG Across Contraction Intensities and Joint Angles

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Objective: Previous studies have demonstrated promising results in estimating the neural drive to muscles, the net output of all motoneurons that innervate the muscle, using high-density electromyography (HD-EMG) for the purpose of interfacing with ...
Yue Wen   +5 more
doaj   +1 more source

EEG hyperscanning in motor rehabilitation: a position paper

open access: yesJournal of NeuroEngineering and Rehabilitation, 2021
Studying the human brain during interpersonal interaction allows us to answer many questions related to motor control and cognition. For instance, what happens in the brain when two people walking side by side begin to change their gait and match ...
Matthew R. Short   +3 more
doaj   +1 more source

Peripheral electrical stimulation to reduce pathological tremor: a review

open access: yesJournal of NeuroEngineering and Rehabilitation, 2021
Interventions to reduce tremor in essential tremor (ET) and Parkinson’s disease (PD) clinical populations often utilize pharmacological or surgical therapies. However, there can be significant side effects, decline in effectiveness over time, or clinical
Alejandro Pascual-Valdunciel   +6 more
doaj   +1 more source

Human-machine-human interaction in motor control and rehabilitation: a review

open access: yesJournal of NeuroEngineering and Rehabilitation, 2021
Background Human-human (HH) interaction mediated by machines (e.g., robots or passive sensorized devices), which we call human-machine-human (HMH) interaction, has been studied with increasing interest in the last decade.
Emek Barış Küçüktabak   +4 more
doaj   +1 more source

Effect of Dyadic Haptic Collaboration on Ankle Motor Learning and Task Performance

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Optimizing skill acquisition during novel motor tasks and regaining lost motor functions have been the interest of many researchers over the past few decades.
Sangjoon J. Kim   +8 more
doaj   +1 more source

Electromechanical-assisted training for walking after stroke.

open access: yesCochrane Database of Systematic Reviews, 2020
BACKGROUND Electromechanical- and robot-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007 and previously updated in 2017.
J. Mehrholz   +4 more
semanticscholar   +1 more source

Automatic Detection of Magnetic Disturbances in Magnetic Inertial Measurement Unit Sensors Based on Recurrent Neural Networks

open access: yesSensors, 2023
This paper proposes a new methodology for the automatic detection of magnetic disturbances from magnetic inertial measurement unit (MIMU) sensors based on deep learning.
Elkyn Alexander Belalcazar-Bolaños   +2 more
doaj   +1 more source

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