Evidence map›Paper›PMID 40657531›Full record

ArticleIEEE journal of translational engineering in health and medicine2025

On-Demand Cueing Sensitive to Step Variability: Understanding Its Impact on Gait of Individuals With Parkinson's Disease.

Priya Pallavi, Ankita Raghuvanshi, Suhagiya Dharmik Kumar, Niravkumar Patel, Manasi Kanetkar, Rahul Chhatlani, Manish Rana, Sagar Betai, Roopa Rajan, Uttama Lahiri

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. What is new in Freezing of Gait?Journal of neurology · 2026
    Review
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

10 authors.

Priya PallaviDepartment of Electrical EngineeringIndian Institute of Technology Gandhinagar Gandhinagar 382355 India.
Ankita RaghuvanshiDepartment of Electrical EngineeringIndian Institute of Technology Gandhinagar Gandhinagar 382355 India.ORCID 0009-0007-7208-314X
Suhagiya Dharmik KumarAksharkrupa Hospital Ahmedabad 380004 India.ORCID 0000-0002-7808-4043
Niravkumar PatelFaculty of Design, Architecture and BuildingUniversity of Technology Sydney Ultimo NSW 2007 Australia.
Manasi KanetkarDesign and Innovation CentreIndian Institute of Technology Gandhinagar Gandhinagar 382355 India.ORCID 0000-0003-3675-6072
Rahul ChhatlaniDepartment of PhysiotherapyMarwadi University Rajkot 360003 India.
Manish RanaSola Hospital Ahmedabad 380060 India.
Sagar BetaiAnsa Clinic Ahmedabad 380054 India.
Roopa RajanAIIMS New Delhi 110029 India.
Uttama LahiriDepartment of Electrical EngineeringIndian Institute of Technology Gandhinagar Gandhinagar 382355 India.ORCID 0000-0002-0607-5404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is characterized by gait disturbances with freezing of gait (FoG) being one of the most disabling symptoms. The FoG episode is often preceded by an increase in variability in Step Time. As the disease progresses, such gait impairment may become resistant to pharmacotherapy. Use of external cues is an alternative. Existing solutions deliver external cues in a continuous manner that might cause habituation effects, thereby emphasizing the need for on-demand cueing. Manual on-demand cueing upon freezing has been shown to be powerful in bringing an individual out of a freezing state. This can be achieved if one's proneness to freeze before entering into freezing state can be sensed, and in-turn triggering an external cue on-demand. Motivated by this, we have developed a wearable device ([Formula: see text]) that can sense such proneness based on variability in Step Time to offer a visual cue on-demand. We conducted a study involving 20 age-matched healthy individuals and those with PD who walked overground while wearing SmartWalkVC operated in three modes with regard to offering visual cue, namely (a) On-demand cueing, (b) Continuous cueing and (c) No cueing. The results of our study showed that with on-demand cueing, those with PD had minimum variability of Step Time among all the three modes unlike healthy individuals whose gait remained majorly unaffected by different cueing modes. Also, walking speed increased along with a reduction in FoG episodes for those with PD in the on-demand cueing mode compared with the other two modes.Clinical and Translational Impact Statement: Wearable SmartWalkVC quantifies one's Step Time variability to offer visual cue on-demand, reducing one's Freezing of Gait that can have clinical significance and be translated to impact one's social presence.

Indexed as

CuesGaitGait Disorders, NeurologicParkinson DiseaseAgedFemaleHumansMaleMiddle AgedWalkingWearable Electronic Devicesfreezing of gaitOn-demand cueingParkinson’s diseasevariability of step timewearable

Identifiers

PMID40657531
PMCPMC12251033

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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.