Evidence map›Paper›PMID 40871914›Full record

ArticleSensors (Basel, Switzerland)2025

Uncovering the Kinematic Signature of Freezing of Gait in Parkinson's Disease Through Wearable Inertial Sensors.

Francesco Castelli Gattinara Di Zubiena, Alessandro Zampogna, Martina Patera, Giovanni Cusolito, Ludovica Apa, Ilaria Mileti, Antonio Cannuli, Antonio Suppa, Marco Paoloni, Zaccaria Del Prete and 1 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Francesco Castelli Gattinara Di ZubienaDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-3783-7272
Alessandro ZampognaDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0227-1993
Martina PateraDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.
Giovanni CusolitoDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-5977-3302
Ludovica ApaDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-4249-5596
Ilaria MiletiDepartment of Engineering, University Niccolò Cusano, 00166 Rome, Italy.ORCID 0000-0002-1064-7962
Antonio CannuliDepartment of Engineering, University of Messina, 98122 Messina, Italy.ORCID 0000-0001-7374-851X
Antonio SuppaDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-9903-5550
Marco PaoloniDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0947-9711
Zaccaria Del PreteDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0001-6057-7774
Eduardo PalermoDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-3213-8261

Funding

Research activity was supported by the European funding "PNRR-MR1-2022-541 12376921, Next Generation EU (PNRR M6C2) Investment 2.1 Enhancement and strengthening of 542 biomedical research of the NHS". PNRR-MR1-2022-541 12376921
6 · The paper itself

Abstract

Parkinson's disease (PD) is a disorder that causes a decrease in motor skills. Among the symptoms that have been observed, the most significant is the occurrence of Freezing of Gait (FoG), which manifests as an abrupt cessation of walking. This study investigates the impact of spatiotemporal gait parameters using wearable inertial measurement units (IMUs). Notably, 30 PD patients (15 with FoG, 15 without) and 20 healthy controls were enrolled. Gait data were acquired using two foot-mounted IMUs and key parameters such as stride time, gait phase distribution, cadence, stride length, speed, and foot clearance were extracted. Results indicated a tangible decline in motor abilities in PD patients, especially in those with FoG. Differences were observed in the segmentation of gait phases, with diminished swing phase duration observed in patients, and in the diminished spatial parameters of stride length, velocity, and foot clearance. Additionally, to validate the results, the accuracy of IMU-derived clearance measurements was validated against an optoelectronic system. While the IMUs accurately detected maximum points, the minimum clearance showed a higher measurement error. These findings support the use of wearable IMUs as a reliable and low-cost alternative to laboratory systems for the assessment of gait abnormalities in PD. Moreover, they highlight the potential for early detection and monitoring of FoG in both clinical and home settings.

Indexed as

GaitGait Disorders, NeurologicParkinson DiseaseWearable Electronic DevicesAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedWalkingbiomechanicsFreezing of Gait (FoG)gait analysisinertial measurement unit IMUParkinson’s disease (PD)spatiotemporal parameterswearable sensors

Identifiers

PMID40871914
PMCPMC12390408

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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.