Evidence map›Paper›PMID 32545528›Full record

ArticleSensors (Basel, Switzerland)2020

Shoe-Integrated, Force Sensor Design for Continuous Body Weight Monitoring.

Shahzad Muzaffar, Ibrahim Abe M Elfadel

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Adaptive Lifting Index (Sensors (Basel, Switzerland) · 2024
    Article
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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

2 authors.

Shahzad MuzaffarElectrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE.ORCID 0000-0001-9237-1148
Ibrahim Abe M ElfadelElectrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE.ORCID 0000-0003-3220-9987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional pedobarography methods use direct force sensor placement in the shoe insole to record pressure patterns. One problem with such methods is that they tap only a few points on the flat sole under the foot and, therefore, do not account for the total ground reaction force. As a result, body weight tends to be under-estimated. This disadvantage has made it more difficult for pedobarography to be used to monitor many diseases, especially when their symptoms include body weight changes. In this paper, the problem of pedobarographic body weight measurement is addressed using a novel ergonomic shoe-integrated sensor array architecture based on concentrating the applied force via three-layered structures that we call Sandwiched Sensor Force Consolidators (SSFC). A shoe prototype is designed with the proposed sensors and shown to accurately measure body weight with an achievable relative accuracy greater than 99%,

Indexed as

Body WeightGaitShoesWearable Electronic DevicesBiomechanical PhenomenaEquipment DesignFootHumansPressureBiomedical IoTcontinuous weight measurementflexible packagingforce sensor designgait monitoringshoe-integrated sensing

Identifiers

PMID32545528
PMCPMC7348776

What OpenQuestion holds

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LicenceCC BY
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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.