Evidence map›Paper›PMID 41305286›Full record

ArticleSensors (Basel, Switzerland)2025

ParCuR-A Novel AI-Enabled Gait Cueing Wearable for Patients with Parkinson's Disease.

Telmo Lopes, Manuel Reis Carneiro, Ana Morgadinho, Diogo Reis Carneiro, Mahmoud Tavakoli

Abstract read
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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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.

Telmo LopesInstitute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, 3030-290 Coimbra, Portugal.ORCID 0000-0001-5821-7374
Manuel Reis CarneiroDepartment of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0002-3669-3457
Ana MorgadinhoNeurology Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal.ORCID 0000-0001-6841-251X
Diogo Reis CarneiroNeurology Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal.ORCID 0000-0001-8912-4736
Mahmoud TavakoliInstitute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, 3030-290 Coimbra, Portugal.ORCID 0000-0002-2590-2196

Funding

European Research Council 101045072Fundação para a Ciência e Tecnologia SFRH/BD/150691/2020
6 · The paper itself

Abstract

Freezing of gait (FoG) is a common motor symptom in advanced Parkinson's disease, leading to falls, disability, and reduced quality of life. Although cueing systems using visual or auditory stimuli can help patients resume walking, existing solutions are often expensive, uncomfortable, and conspicuous. ParCuR (Parkinson Cueing and Rehabilitation) is a compact, ankle-worn wearable integrating an inertial sensor, haptic stimulator, and AI-based software. It was developed to detect FoG episodes in real time and provides automatic sensory cues to assist patients with Parkinson's Disease (PwP). A classifier was trained for FoG detection using the DAPHNet dataset, comparing patient-specific and patient-independent models. While a small-scale trial with PwP assessed usability and reliability. ParCuR is watch-sized (35 × 41 mm), discreet, and comfortable for daily use. The online detection algorithm triggers stimulation within 0.7 s of episode onset and achieves 94.9% sensitivity and 91.3% specificity using only 14 frequency-based features. Preliminary trials confirmed device feasibility and guided design refinements. This low-cost, wearable solution supports personalized, real-time FoG detection and responsive cueing, improving patient mobility while minimizing discomfort and continuous stimulation habituation.

Indexed as

Artificial IntelligenceGaitParkinson DiseaseWearable Electronic DevicesAgedAlgorithmsCuesFemaleGait Disorders, NeurologicHumansMaleMiddle Agedassistive cueingfreezing of gaitmachine learningParkinson’s diseasesomatosensory stimulationwearable electronics

Identifiers

PMID41305286
PMCPMC12656022

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.