Evidence map›Paper›PMID 41095036›Full record

ArticleSensors (Basel, Switzerland)2025

A Novel Whole-Body Wearable Technology for Motor Assessment in Multiple Sclerosis: Feasibility and Usability Pilot Study.

Jessica Podda, Erica Grange, Claudia Latella, Andrea Tacchino, Enrico Valli, Ludovica Danovaro, Gianluca Milani, Marco Forleo, Antonella Tatarelli, Davide Gorbani and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Jessica PoddaneuroBRITE Research Center, Italian Multiple Sclerosis Foundation, 16149 Genoa, Italy.ORCID 0000-0002-9327-9148
Erica GrangeneuroBRITE Research Center, Italian Multiple Sclerosis Foundation, 16149 Genoa, Italy.ORCID 0000-0001-5114-9276
Claudia LatellaArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.ORCID 0000-0003-4792-4588
Andrea TacchinoneuroBRITE Research Center, Italian Multiple Sclerosis Foundation, 16149 Genoa, Italy.ORCID 0000-0002-2263-7315
Enrico ValliArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.ORCID 0000-0002-0126-453X
Ludovica DanovaroArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.
Gianluca MilaniArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.ORCID 0000-0002-4012-7415
Marco ForleoArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.
Antonella TatarelliArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.ORCID 0000-0002-1315-1743
Davide GorbaniArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.ORCID 0009-0002-7506-0887
Alex CoppolaArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.ORCID 0000-0002-3811-4260
Ludovico PedullàneuroBRITE Research Center, Italian Multiple Sclerosis Foundation, 16149 Genoa, Italy.
Giampaolo BrichettoneuroBRITE Research Center, Italian Multiple Sclerosis Foundation, 16149 Genoa, Italy.ORCID 0000-0003-2026-3572
Daniele PucciArtificial and Mechanical Intelligence laboratory, Italian Institute of Technology, 16163 Genoa, Italy.

Funding

the European Union - NextGenerationEU and the Ministry of University and Research (MUR). National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5 Project "RAISE -Robotics and AI for Socio-economic Empowerment" (ECS00000035)
6 · The paper itself

Abstract

(1) Background: Technological advancements provide new opportunities to objectively assess motor deficits in people with Multiple Sclerosis (PwMS). This pilot study aimed to evaluate the performance and usability of iFeel, a novel wearable system which integrates inertial sensors, instrumented shoes, and an AI-based algorithm. (2) Methods: Sixteen adult PwMS (Expanded Disability Status Scale-EDSS ≤ 6) performed motor tests (Timed 25-Foot Walk-T25FW; Timed Up and Go-TUG) both with and without the iFeel suit. Patient-reported outcomes (PROs) were also collected to assess perceived fatigue, dual-task impact, and walking difficulties. System Usability Scale (SUS) and ad hoc questionnaires have been further administered to test usability. (3) Results: No significant differences were found between the clinician and system-based scores for both T25FW (

Indexed as

Multiple SclerosisWearable Electronic DevicesAdultAlgorithmsFatigueFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsAImotor assessmentmultiple sclerosisusabilitywearable sensorwearable technology

Identifiers

PMID41095036
PMCPMC12526895

What OpenQuestion holds

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Registered trials

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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.