Evidence map›Paper›PMID 39123822›Full record

ArticleSensors (Basel, Switzerland)2024

An Innovative Device Based on Human-Machine Interface (HMI) for Powered Wheelchair Control for Neurodegenerative Disease: A Proof-of-Concept.

Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese, Remo Garropoli, Vera Gramigna, Antonio Ammendolia, Nicola Marotta

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

7 authors.

Arrigo PalumboDepartment of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Nicola IelpoDepartment of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0002-7313-8882
Barbara CalabreseIstituto Tecnico Industriale Statale "Enrico Fermi", Via Piero Della Francesca, 87012 Castrovillari, Italy.ORCID 0000-0003-2123-8221
Remo GarropoliGarropoli Computer Science Consulting, 87100 Cosenza, Italy.ORCID 0000-0002-3468-8937
Vera GramignaDepartment of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Antonio AmmendoliaPhysical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences, University Hospital "Mater Domini", University of Catanzaro Magna Graecia, Via Campanella, 88100 Catanzaro, Italy.ORCID 0000-0002-2828-2455
Nicola MarottaResearch Center on Musculoskeletal Health, MusculoSkeletalHealth@UMG, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.ORCID 0000-0002-5568-7909

Funding

This work has been funded by the SIMpLE (Smart solutIons for health Monitoring and independent mobiLity for Elderly and disable people) project (Cod. SIN_00031-CUP B69G14000180008), a Smart Cities and Communities and Social Innovation project, funded by t Cod. SIN_00031-CUP B69G14000180008
6 · The paper itself

Abstract

In the global context, advancements in technology and science have rendered virtual, augmented, and mixed-reality technologies capable of transforming clinical care and medical environments by offering enhanced features and improved healthcare services. This paper aims to present a mixed reality-based system to control a robotic wheelchair for people with limited mobility. The test group comprised 11 healthy subjects (six male, five female, mean age 35.2 ± 11.7 years). A novel platform that integrates a smart wheelchair and an eye-tracking-enabled head-mounted display was proposed to reduce the cognitive requirements needed for wheelchair movement and control. The approach's effectiveness was demonstrated by evaluating our system in realistic scenarios. The demonstration of the proposed AR head-mounted display user interface for controlling a smart wheelchair and the results provided in this paper could highlight the potential of the HoloLens 2-based innovative solutions and bring focus to emerging research topics, such as remote control, cognitive rehabilitation, the implementation of patient autonomy with severe disabilities, and telemedicine.

Indexed as

Neurodegenerative DiseasesRoboticsUser-Computer InterfaceWheelchairsAdultEquipment DesignFemaleHumansMaleMan-Machine SystemsMiddle Agedaugmented realityhead-mounted displayHoloLensmixed realityremote controlsmart wheelchairstelemedicineuser interfacevirtual reality

Identifiers

PMID39123822
PMCPMC11314770

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.