Evidence map›Paper›PMID 32600348›Full record

ArticleJournal of neuroengineering and rehabilitation2020

Indirect measurement of anterior-posterior ground reaction forces using a minimal set of wearable inertial sensors: from healthy to hemiparetic walking.

Dheepak Arumukhom Revi, Andre M Alvarez, Conor J Walsh, Stefano M M De Rossi, Louis N Awad

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06085248 (Responders to Metronome-based Rhythmic Auditory Stimulation in Individuals Post-Stroke and Older Adults), which is not on this map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 5% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06085248 nacompletednot on this mapstarted 2023, after this paper: background citation

Responders to Metronome-based Rhythmic Auditory Stimulation in Individuals Post-Stroke and Older Adults

TypeinterventionalSponsorBoston University Charles River CampusRan2023 to 2024Enrolled45ConditionsStroke, Old AgeArmsSubject-specific optimized RAS, Active walking
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  10. Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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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

5 authors at 1 institution in 1 country.

Dheepak Arumukhom ReviCollege of Health and Rehabilitation Sciences, Boston University, Boston, Massachusetts, USA.
Andre M AlvarezCollege of Health and Rehabilitation Sciences, Boston University, Boston, Massachusetts, USA.
Conor J WalshCollege of Health and Rehabilitation Sciences, Boston University, Boston, Massachusetts, USA.
Stefano M M De RossiCollege of Health and Rehabilitation Sciences, Boston University, Boston, Massachusetts, USA.
Louis N AwadCollege of Health and Rehabilitation Sciences, Boston University, Boston, Massachusetts, USA. louawad@bu.edu.ORCID 0000-0002-0159-8011
Boston University · US

Funding

Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
NCATS NIH HHS KL2 TR001411
6 · The paper itself

Abstract

backgroundThe anterior-posterior ground reaction force (AP-GRF) and propulsion and braking point metrics derived from the AP-GRF time series are indicators of locomotor function across healthy and neurological diagnostic groups. In this paper, we describe the use of a minimal set of wearable inertial measurement units (IMUs) to indirectly measure the AP-GRFs generated during healthy and hemiparetic walking.

methodsTen healthy individuals and five individuals with chronic post-stroke hemiparesis completed a 6-minute walk test over a walking track instrumented with six forceplates while wearing three IMUs securely attached to the pelvis, thigh, and shank. Subject-specific models driven by IMU-measured thigh and shank angles and an estimate of body acceleration provided by the pelvis IMU were used to generate indirect estimates of the AP-GRF time series. Propulsion and braking point metrics (i.e., peaks, peak timings, and impulses) were extracted from the IMU-generated time series. Peaks and impulses were expressed as % bodyweight (%bw) and peak timing was expressed as % stance phase (%sp). A 75%-25% split of 6-minute walk test data was used to train and validate the models. Indirect estimates of the AP-GRF time series and point metrics were compared to direct measurements made by the forceplates.

resultsIndirect measurements of the AP-GRF time series approximated the direct measurements made by forceplates, with low error and high consistency in both the healthy (RMSE= 4.5%bw; R

conclusionsAccurate estimates of AP-GRF metrics can be generated using three strategically mounted IMUs and subject-specific calibrations. This study advances the development of point-of-care diagnostic systems that can catalyze the routine assessment and management of propulsion and braking locomotor deficits during rehabilitation.

Indexed as

Wearable Electronic DevicesAdultBiomechanical PhenomenaFemaleGaitHumansMaleMiddle AgedParesisStrokeStroke RehabilitationWalkingEstimationGround reaction forcesHemipareticPropulsionWalkingWearable sensors

Identifiers

PMID32600348
PMCPMC7322880
OpenAlexW3037063982

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.