Evidence map›Paper›PMID 33260821›Full record

ArticleSensors (Basel, Switzerland)2020

Development of a Wireless Telemetry Sensor Device to Measure Load and Deformation in Orthopaedic Applications.

William D Anderson, Sydney L M Wilson, David W Holdsworth

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

William D AndersonSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0001-7438-7736
Sydney L M WilsonSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0002-3538-2972
David W HoldsworthSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0002-0603-5322

Funding

Canadian Institute of Health Research (Foundation Program) FDN-148474Ontario Research Fund (Research Excellence) Grant RE-07-666
6 · The paper itself

Abstract

Due to sensor size and supporting circuitry, in-vivo load and deformation measurements are currently restricted to applications within larger orthopaedic implants. The objective of this study is to repurpose a commercially available low-power, miniature, wireless, telemetric, tire-pressure sensor (FXTH87) to measure load and deformation for future use in orthopaedic and biomedical applications. The capacitive transducer membrane was modified, and compressive deformation was applied to the transducer to determine the sensor signal value and the internal resistive force. The sensor package was embedded within a deformable enclosure to illustrate potential applications of the sensor for monitoring load. To reach the maximum output signal value, sensors required compressive deformation of 350 ± 24 µm. The output signal value of the sensor was an effective predictor of the applied load on a calibrated plastic strain member, over a range of 35 N. The FXTH87 sensor can effectively sense and transmit load-induced deformations. The sensor does not have a limit on loads it can measure, as long as deformation resulting from the applied load does not exceed 350 µm. The proposed device presents a sensitive and precise means to monitor deformation and load within small-scale, deformable enclosures.

Indexed as

OrthopedicsTelemetryMonitoring, PhysiologicProstheses and ImplantsTransducersWireless Technologyaccelerometercapacitive transducersdeformationload sensororthopaedic implantspressure sensorsstraintelemetrywireless

Identifiers

PMID33260821
PMCPMC7731148

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Registered trials

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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.