Evidence map›Paper›PMID 32481598›Full record

ReviewBiosensors2020

Wearable Skin Sensors and Their Challenges: A Review of Transdermal, Optical, and Mechanical Sensors.

Ammar Ahmad Tarar, Umair Mohammad, Soumya K Srivastava

Abstract readReview
In one paragraph

Review in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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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

3 authors.

Ammar Ahmad TararDepartment of Biological Engineering, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0002-8167-4829
Umair MohammadDepartment of Electrical & Computer Engineering, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0002-4499-548X
Soumya K SrivastavaDepartment of Chemical & Materials Engineering, University of Idaho, Moscow, ID 83844, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable technology and mobile healthcare systems are both increasingly popular solutions to traditional healthcare due to their ease of implementation and cost-effectiveness for remote health monitoring. Recent advances in research, especially the miniaturization of sensors, have significantly contributed to commercializing the wearable technology. Most of the traditional commercially available sensors are either mechanical or optical, but nowadays transdermal microneedles are also being used for micro-sensing such as continuous glucose monitoring. However, there remain certain challenges that need to be addressed before the possibility of large-scale deployment. The biggest challenge faced by all these wearable sensors is our skin, which has an inherent property to resist and protect the body from the outside world. On the other hand, biosensing is not possible without overcoming this resistance. Consequently, understanding the skin structure and its response to different types of sensing is necessary to remove the scientific barriers that are hindering our ability to design more efficient and robust skin sensors. In this article, we review research reports related to three different biosensing modalities that are commonly used along with the challenges faced in their implementation for detection. We believe this review will be of significant use to researchers looking to solve existing problems within the ongoing research in wearable sensors.

Indexed as

Biosensing TechniquesBlood Glucose Self-MonitoringWearable Electronic DevicesBlood GlucoseHumansSkinBlood Glucoselab on a chipMEMSwearable sensors

Identifiers

PMID32481598
PMCPMC7345448

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.