Evidence map›Paper›PMID 38048458›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Biosymbiotic platform for chronic long-range monitoring of biosignals in limited resource settings.

Tucker Stuart, Max Farley, Julia Amato, Ryan Thien, Jessica Hanna, Aman Bhatia, David Marshall Clausen, Philipp Gutruf

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

8 authors.

Tucker Stuart *Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-4643-6868
Max Farley *Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0009-0000-9427-4560
Julia AmatoDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0009-0005-7099-1190
Ryan ThienDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0009-0004-5346-4367
Jessica HannaDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.
Aman BhatiaDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-5433-6971
David Marshall ClausenDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-3566-1859
Philipp GutrufDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-7183-7268

Funding

Flinn Foundation Translational Bioscience Seed GrantNational Science Foundation (NSF) I-CorpUniversity of Arizona (UA) Provost Investment FundUniversity of Arizona (UA) SensorLab Student and Seed Grant
6 · The paper itself

Abstract

Remote patient monitoring is a critical component of digital medicine, and the COVID-19 pandemic has further highlighted its importance. Wearable sensors aimed at noninvasive extraction and transmission of high-fidelity physiological data provide an avenue toward at-home diagnostics and therapeutics; however, the infrastructure requirements for such devices limit their use to areas with well-established connectivity. This accentuates the socioeconomic and geopolitical gap in digital health technology and points toward a need to provide access in areas that have limited resources. Low-power wide area network (LPWAN) protocols, such as LoRa, may provide an avenue toward connectivity in these settings; however, there has been limited work on realizing wearable devices with this functionality because of power and electromagnetic constraints. In this work, we introduce wearables with electromagnetic, electronic, and mechanical features provided by a biosymbiotic platform to realize high-fidelity biosignals transmission of 15 miles without the need for satellite infrastructure. The platform implements wireless power transfer for interaction-free recharging, enabling long-term and uninterrupted use over weeks without the need for the user to interact with the devices. This work presents demonstration of a continuously wearable device with this long-range capability that has the potential to serve resource-constrained and remote areas, providing equitable access to digital health.

Indexed as

PandemicsWearable Electronic DevicesElectronicsHumansMonitoring, Physiologiclong-rangesensorswearableswireless

Identifiers

PMID38048458
PMCPMC10723125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.