Evidence map›Paper›PMID 10723873›Full record

Trial reportMedical & biological engineering & computing1999

Temporal feature estimation during walking using miniature accelerometers: an analysis of gait improvement after hip arthroplasty.

K Aminian, K Rezakhanlou, E De Andres, C Fritsch, P F Leyvraz, P Robert

Open access · greenAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Medical & biological engineering & computing, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 164 citations in OpenAlex.

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  17. GaitKeeper: A System for Measuring Canine Gait.Sensors (Basel, Switzerland) · 2017
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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

6 authors at 2 institutions in 1 country.

K AminianSwiss Federal Institute of Technology Lausanne (EPFL), Metrology Laboratory, Switzerland. kamiar.aminian@epfl.ch
K Rezakhanlou
E De Andres
C Fritsch
P F Leyvraz
P Robert
École Polytechnique Fédérale de Lausanne · CHHôpital Orthopédique de la Suisse Romande · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new method for the detection of gait cycle phases using only two miniature accelerometers together with a light, portable digital recorder is proposed. Each subject is asked to walk on a walkway at his/her own preferred speed. Gait analysis was performed using an original method of computing the values of temporal parameters from accelerometer signals. First, to validate the accelerometric method, measurements are taken on a group of healthy subjects. No significant differences are observed between the results thus obtained and those from pressure sensors attached under the foot. Then, measurements using only accelerometers are performed on a group of 12 patients with unilateral hip osteo-arthritis. The gait analysis is carried out just before hip arthroplasty and again, three, six and nine months afterwards. A mean decrease of 88% of asymmetry of stance time and especially a mean decrease of 250% of asymmetry of double support time are observed, nine months after the operation. These results confirm the validity of the proposed method for healthy subjects and its efficiency for functional evaluation of gait improvement after arthroplasty.

Indexed as

GaitAccelerationAgedArthroplasty, Replacement, HipBiomechanical PhenomenaFemaleFollow-Up StudiesHumansMaleMiddle AgedOsteoarthritis, Hip

Identifiers

PMID10723873
OpenAlexW2025755794

What OpenQuestion holds

Textmetadata
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.