Evidence map›Paper›PMID 29404692›Full record

ReviewJournal of medical systems2018

Utilising the Intel RealSense Camera for Measuring Health Outcomes in Clinical Research.

Francesco Luke Siena, Bill Byrom, Paul Watts, Philip Breedon

Abstract readReview
In one paragraph

Review in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  6. Affordable realtime respiratory monitoring system for radiation oncology.Journal of applied clinical medical physics · 2025
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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

4 authors.

Francesco Luke SienaMedical Design Research Group, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Bill ByromProduct Innovation, ICON Clinical Research, Marlow, SL7 1YL, UK.
Paul WattsMedical Design Research Group, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Philip BreedonMedical Design Research Group, Nottingham Trent University, Nottingham, NG1 4FQ, UK. philip.breedon@ntu.ac.uk.ORCID http://orcid.org/0000-0002-1006-0942

Funding

Department of Health II-LA-0814-20008
6 · The paper itself

Abstract

Applications utilising 3D Camera technologies for the measurement of health outcomes in the health and wellness sector continues to expand. The Intel® RealSense™ is one of the leading 3D depth sensing cameras currently available on the market and aligns itself for use in many applications, including robotics, automation, and medical systems. One of the most prominent areas is the production of interactive solutions for rehabilitation which includes gait analysis and facial tracking. Advancements in depth camera technology has resulted in a noticeable increase in the integration of these technologies into portable platforms, suggesting significant future potential for pervasive in-clinic and field based health assessment solutions. This paper reviews the Intel RealSense technology's technical capabilities and discusses its application to clinical research and includes examples where the Intel RealSense camera range has been used for the measurement of health outcomes. This review supports the use of the technology to develop robust, objective movement and mobility-based endpoints to enable accurate tracking of the effects of treatment interventions in clinical trials.

Indexed as

Clinical Trials as TopicRehabilitation NursingFaceHumansMotionOutcome Assessment, Health CareVideo Recording3D Depth CameraClinical TrialsHealth OutcomesIntel® RealSense™Motion Capture

Identifiers

PMID29404692
PMCPMC5799357

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.