Evidence map›Paper›PMID 36016043›Full record

ArticleSensors (Basel, Switzerland)2022

Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson's Disease Using the Azure Kinect Sensor.

Claudia Ferraris, Gianluca Amprimo, Giulia Masi, Luca Vismara, Riccardo Cremascoli, Serena Sinagra, Giuseppe Pettiti, Alessandro Mauro, Lorenzo Priano

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
11.7field-weighted citation impact, top 1% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

9 authors at 4 institutions in 1 country.

Claudia FerrarisInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.ORCID 0000-0001-5381-4794
Gianluca AmprimoInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.ORCID 0000-0003-4061-8211
Giulia MasiDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy.
Luca VismaraIstituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, Strada Luigi Cadorna 90, 28824 Piancavallo, Italy.ORCID 0000-0001-9034-7101
Riccardo CremascoliDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy.ORCID 0000-0003-4663-946X
Serena SinagraIstituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, Strada Luigi Cadorna 90, 28824 Piancavallo, Italy.
Giuseppe PettitiInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.
Alessandro MauroDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy.ORCID 0000-0001-9072-7454
Lorenzo PrianoDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy.
IRCCS Istituto Auxologico Italiano · ITInstitute of Electronics, Computer and Telecommunication Engineering · ITPolitecnico di Torino · ITUniversity of Turin · IT

Funding

Regione Piemonte 8Italy) F.E.S.R. 2014/2020, F.S.E. 2014/2020
6 · The paper itself

Abstract

Arm swinging is a typical feature of human walking: Continuous and rhythmic movement of the upper limbs is important to ensure postural stability and walking efficiency. However, several factors can interfere with arm swings, making walking more risky and unstable: These include aging, neurological diseases, hemiplegia, and other comorbidities that affect motor control and coordination. Objective assessment of arm swings during walking could play a role in preventing adverse consequences, allowing appropriate treatments and rehabilitation protocols to be activated for recovery and improvement. This paper presents a system for gait analysis based on Microsoft Azure Kinect DK sensor and its body-tracking algorithm: It allows noninvasive full-body tracking, thus enabling simultaneous analysis of different aspects of walking, including arm swing characteristics. Sixteen subjects with Parkinson's disease and 13 healthy controls were recruited with the aim of evaluating differences in arm swing features and correlating them with traditional gait parameters. Preliminary results show significant differences between the two groups and a strong correlation between the parameters. The study thus highlights the ability of the proposed system to quantify arm swing features, thus offering a simple tool to provide a more comprehensive gait assessment.

Indexed as

Parkinson DiseaseArmBiomechanical PhenomenaGaitHumansWalkingarm swingasymmetryAzure Kinectcenter of mass swaygait analysismovement analysisParkinson’s diseasespatiotemporal parameters

Identifiers

PMID36016043
PMCPMC9412494
OpenAlexW4292554297

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.