Evidence map›Paper›PMID 35890995›Full record

ArticleSensors (Basel, Switzerland)2022

InjectMeAI-Software Module of an Autonomous Injection Humanoid.

Kwame Owusu Ampadu, Florian Rokohl, Safdar Mahmood, Marc Reichenbach, Michael Huebner

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kwame Owusu AmpaduComputer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.ORCID 0000-0003-2519-3649
Florian RokohlComputer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.
Safdar MahmoodComputer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.
Marc ReichenbachComputer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.ORCID 0000-0002-9687-6247
Michael HuebnerComputer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.ORCID 0000-0002-1790-3869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-CoV-2 variants along with the wearing of masks and hand gloves in hospitals and assisted living environments. Health delivery personnel having undergone training regarding the handling of patients suffering from Corona infection have been stretched. Administering injections involves unavoidable person to person contact. In this circumstance, the spread of bodily fluids and consequently the Coronavirus become eminent, leading to an upsurge of infection rates among nurses and doctors. This makes enforced home office practices and telepresence through humanoid robots a viable alternative. In providing assistance to further reduce contact with patients during vaccinations, a software module has been designed, developed, and implemented on a Pepper robot that estimates the pose of a patient, identifies an injection spot, and raises an arm to deliver the vaccine dose on a bare shoulder. Implementation was done using the QiSDK in an android integrated development environment with a custom Python wrapper. Tests carried out yielded positive results in under 60 s with an 80% success rate, and exposed some ambient lighting discrepancies. These discrepancies can be solved in the near future, paving a new way for humans to get vaccinated.

Indexed as

COVID-19COVID-19 VaccinesRoboticsSoftwareVaccinationHumansLightingPandemicsSARS-CoV-2COVID-19 Vaccinesedge detectionhealthcaremachine learningpandemicPepper robotpose estimationPython wrappersocial distancing

Identifiers

PMID35890995
PMCPMC9324448

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.