Evidence map›Paper›PMID 35957264›Full record

ArticleSensors (Basel, Switzerland)2022

Evaluation of Spatiotemporal Patterns of the Spinal Muscle Coordination Output during Walking in the Exoskeleton.

Dmitry S Zhvansky, Francesca Sylos-Labini, Arthur Dewolf, Germana Cappellini, Andrea d'Avella, Francesco Lacquaniti, Yury Ivanenko

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dmitry S ZhvanskyInstitute for Information Transmission Problems, Russian Academy of Sciences, 127994 Moscow, Russia.
Francesca Sylos-LabiniLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.ORCID 0000-0002-8116-3375
Arthur DewolfLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.ORCID 0000-0003-1498-3987
Germana CappelliniLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Andrea d'AvellaLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.ORCID 0000-0002-3393-4956
Francesco LacquanitiLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Yury IvanenkoLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.ORCID 0000-0001-9363-9548

Funding

H2020-779963 EUROBENCH FSTP-1 sub-project PEPATOItalian Ministry of Health Ricerca Corrente, IRCCS Fondazione Santa LuciaItalian Ministry of Health Ricerca Finalizzata RF-2019-12370232Italian Space Agency grant I/006/06/0 and grant 2019-11-U.0Italian University Ministry PRIN grant 2017CBF8NJ_005 and 2020EM9A8X_003
6 · The paper itself

Abstract

Recent advances in the performance and evaluation of walking in exoskeletons use various assessments based on kinematic/kinetic measurements. While such variables provide general characteristics of gait performance, only limited conclusions can be made about the neural control strategies. Moreover, some kinematic or kinetic parameters are a consequence of the control implemented on the exoskeleton. Therefore, standard indicators based on kinematic variables have limitations and need to be complemented by performance measures of muscle coordination and control strategy. Knowledge about what happens at the spinal cord output level might also be critical for rehabilitation since an abnormal spatiotemporal integration of activity in specific spinal segments may result in a risk for abnormalities in gait recovery. Here we present the PEPATO software, which is a benchmarking solution to assess changes in the spinal locomotor output during walking in the exoskeleton with respect to reference data on normal walking. In particular, functional and structural changes at the spinal cord level can be mapped into muscle synergies and spinal maps of motoneuron activity. A user-friendly software interface guides the user through several data processing steps leading to a set of performance indicators as output. We present an example of the usage of this software for evaluating walking in an unloading exoskeleton that allows a person to step in simulated reduced (the Moon's) gravity. By analyzing the EMG activity from lower limb muscles, the algorithms detected several performance indicators demonstrating differential adaptation (shifts in the center of activity, prolonged activation) of specific muscle activation modules and spinal motor pools and increased coactivation of lumbar and sacral segments. The software is integrated at EUROBENCH facilities to benchmark the performance of walking in the exoskeleton from the point of view of changes in the spinal locomotor output.

Indexed as

Exoskeleton DeviceGaitHumansMotor NeuronsMuscle, SkeletalWalkingbenchmarkingbody unloadingexoskeletonsmuscle coordinationspinal locomotor outputwalking

Identifiers

PMID35957264
PMCPMC9370895

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.