Evidence map›Paper›PMID 30893819›Full record

ArticleSensors (Basel, Switzerland)2019

Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs.

Sandra Hellmers, Sebastian Fudickar, Sandra Lau, Lena Elgert, Rebecca Diekmann, Jürgen M Bauer, Andreas Hein

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

7 authors.

Sandra HellmersAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. sandra.hellmers@uni-oldenburg.de.ORCID 0000-0002-1686-6752
Sebastian FudickarAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. sebastian.fudickar@uni-oldenburg.de.ORCID 0000-0002-3553-5131
Sandra LauAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. sandra.lau@uni-oldenburg.de.
Lena ElgertPeter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, TU Braunschweig, 38106 Braunschweig, Germany. lena.elgert@plri.de.
Rebecca DiekmannAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. rebecca.diekmann@uni-oldenburg.de.
Jürgen M BauerCenter for Geriatric Medicine, University Heidelberg, 69117 Heidelberg, Germany. juergen.bauer@bethanien-heidelberg.de.
Andreas HeinAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. andreas.hein@uni-oldenburg.de.

Funding

Bundesministerium für Bildung und Forschung 01EL1822D
6 · The paper itself

Abstract

An early detection of functional decline with age is important to start interventions at an early state and to prolong the functional fitness. In order to assure such an early detection, functional assessments must be conducted on a frequent and regular basis. Since the five time chair rise test (5CRT) is a well-established test in the geriatric field, this test should be supported by technology. We introduce an approach that automatically detects the execution of the chair rise test via an inertial sensor integrated into a belt. The system's suitability was evaluated via 20 subjects aged 72⁻89 years (78.2 ± 4.6 years) and was measured by a stopwatch, the inertial measurement unit (IMU), a Kinect

Indexed as

chair rise testfunctional declinegeriatric assessmentIMUmachine learningsit-to-standwearable sensors

Identifiers

PMID30893819
PMCPMC6471607

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.