Evidence map›Paper›PMID 33043127›Full record

ArticleAdvanced materials technologies2020

Biosensors for Personal Mobile Health: A System Architecture Perspective.

Siddarth Arumugam, David A M Colburn, Samuel K Sia

Abstract read
In one paragraph

Article in Advanced materials technologies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Siddarth ArumugamDepartment of Biomedical Engineering, Columbia University, 10027 New York, United States.
David A M ColburnDepartment of Biomedical Engineering, Columbia University, 10027 New York, United States.
Samuel K SiaDepartment of Biomedical Engineering, Columbia University, 10027 New York, United States.

Funding

Lab on a chip point of care assay for the rapid serodiagnosis of Lyme diseaseR44AI096551 · NIAID · IMMUNO TECHNOLOGIES, INC. · PI GOMES-SOLECKI, MARIA · 2014 to 2016
$3.0M
Use of Novel Mobile Technology to Screen Sexual Partners for HIV and STIsR01HD088156 · NICHD · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BALAN, IVAN C · 2016 to 2019
$2.4M
NIAID NIH HHS R44 AI096551NICHD NIH HHS R01 HD088156
6 · The paper itself

Abstract

Advances in mobile biosensors, integrating developments in materials science and instrumentation, are fueling an expansion in health data being collected and analyzed in decentralized settings. For example, semiconductor-based sensors are enabling measurement of vital signs, and microfluidic-based sensors are enabling measurement of biochemical markers. As biosensors for mobile health are becoming increasingly paired with smart devices, it will become critical for researchers to design biosensors - with appropriate functionalities and specifications - to work seamlessly with accompanying connected hardware and software. This article describes recent research in biosensors, as well as current mobile health devices in use, as classified into four distinct system architectures that take into account the biosensing and data processing functions required in personal mobile health devices. We also discuss the path forward for integrating biosensors into smartphone-based mobile health devices.

Indexed as

biosensorsdata processingdiagnosticsmHealthsmartphones

Identifiers

PMID33043127
PMCPMC7546526

What OpenQuestion holds

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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.