Evidence map›Paper›PMID 34073123›Full record

ArticleSensors (Basel, Switzerland)2021

Sensor Network for Analyzing Upper Body Strategies in Parkinson's Disease versus Normative Kinematic Patterns.

Paola Romano, Sanaz Pournajaf, Marco Ottaviani, Annalisa Gison, Francesco Infarinato, Claudia Mantoni, Maria Francesca De Pandis, Marco Franceschini, Michela Goffredo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Wearables for Movement Analysis in Healthcare.Sensors (Basel, Switzerland) · 2022
    Article
  7. Article
  8. 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.

Paola RomanoIRCCS San Raffaele Roma, 00166 Rome, Italy.ORCID 0000-0003-2441-135X
Sanaz PournajafIRCCS San Raffaele Roma, 00166 Rome, Italy.ORCID 0000-0001-8749-2236
Marco OttavianiIRCCS San Raffaele Roma, 00166 Rome, Italy.ORCID 0000-0002-6037-2960
Annalisa GisonIRCCS San Raffaele Roma, 00166 Rome, Italy.ORCID 0000-0002-2472-2011
Francesco InfarinatoIRCCS San Raffaele Roma, 00166 Rome, Italy.ORCID 0000-0002-5570-8490
Claudia MantoniIRCCS San Raffaele Roma, 00166 Rome, Italy.
Maria Francesca De PandisSan Raffaele Cassino, 03043 Cassino, Italy.
Marco FranceschiniIRCCS San Raffaele Roma, 00166 Rome, Italy.
Michela GoffredoIRCCS San Raffaele Roma, 00166 Rome, Italy.ORCID 0000-0002-2651-8479

Funding

Ministero della Salute Ricerca corrente
6 · The paper itself

Abstract

In rehabilitation, the upper limb function is generally assessed using clinical scales and functional motor tests. Although the Box and Block Test (BBT) is commonly used for its simplicity and ease of execution, it does not provide a quantitative measure of movement quality. This study proposes the integration of an ecological Inertial Measurement Units (IMUs) system for analysis of the upper body kinematics during the execution of a targeted version of BBT, by able-bodied persons with subjects with Parkinson's disease (PD). Joint angle parameters (mean angle and range of execution) and hand trajectory kinematic indices (mean velocity, mean acceleration, and dimensionless jerk) were calculated from the data acquired by a network of seven IMUs. The sensors were applied on the trunk, head, and upper limb in order to characterize the motor strategy used during the execution of BBT. Statistics revealed significant differences (

Indexed as

Parkinson DiseaseBiomechanical PhenomenaHandHumansMovementUpper Extremitybiomechanics analysisBox and Block testhand trajectoriesinertial sensors networkkinematic dataParkinson’s diseaseupper limb

Identifiers

PMID34073123
PMCPMC8198730

What OpenQuestion holds

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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.