Evidence map›Paper›PMID 29414876›Full record

ArticleSensors (Basel, Switzerland)2018

Measurement of Axial Rigidity and Postural Instability Using Wearable Sensors.

Dung Phan, Malcolm Horne, Pubudu N Pathirana, Parisa Farzanehfar

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. E-Textiles for Healthy Ageing.Sensors (Basel, Switzerland) · 2019
    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

4 authors at 2 institutions in 1 country.

Dung PhanSchool of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia. thimydun@deakin.edu.au.
Malcolm HorneFlorey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia. malcolm.horne@florey.edu.au.
Pubudu N PathiranaSchool of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia. pubudu@deakin.edu.au.
Parisa FarzanehfarFlorey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia. parisa.farzanehfar@florey.edu.au.ORCID 0000-0002-6221-4077
Deakin University · AUFlorey Institute of Neuroscience and Mental Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axial Bradykinesia is an important feature of advanced Parkinson's disease (PD). The purpose of this study is to quantify axial bradykinesia using wearable sensors with the long-term aim of quantifying these movements, while the subject performs routine domestic activities. We measured back movements during common daily activities such as pouring, pointing, walking straight and walking around a chair with a test system engaging a minimal number of Inertial Measurement (IM) based wearable sensors. Participants included controls and PD patients whose rotation and flexion of the back was captured by the time delay between motion signals from sensors attached to the upper and lower back. PD subjects could be distinguished from controls using only two sensors. These findings suggest that a small number of sensors and similar analyses could distinguish between variations in bradykinesia in subjects with measurements performed outside of the laboratory. The subjects could engage in routine activities leading to progressive assessments of therapeutic outcomes.

Indexed as

Wearable Electronic DevicesHumansHypokinesiaMovementParkinson DiseaseRotationbiomedical signal processingbradykinesiadamping ratioflexibilityParkinson’s diseaseprincipal component analysisrigidity

Identifiers

PMID29414876
PMCPMC5855000
OpenAlexW2790431923

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.