Evidence map›Paper›PMID 42371497›Full record

ArticleProceedings of the ... Design of Medical Devices Conference. Design of Medical Devices Conference2026

AT-HOME ASSESSMENT OF USABILITY AND DATA COLLECTION FROM A WEARABLE BIOELECTRONIC MONITORING DEVICE.

Kathryn Cooper, Evan Hailey, Patrick McManigal, Isaiah Jacobsen, Sam Ali, Jennifer M Yentes, Stephen I Rennard, Eric J Markvicka

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the ... Design of Medical Devices Conference. Design of Medical Devices Conference, 2026. 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

8 authors.

Kathryn CooperSchool of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE, USA.
Evan HaileySmart Materials and Robotics Laboratory, Department of Electrical & Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
Patrick McManigalSmart Materials and Robotics Laboratory, School of Computing, University of Nebraska-Lincoln, Lincoln, NE, USA.
Isaiah JacobsenDepartment of Computer Science, University of Nebraska at Omaha, NE, USA.
Sam AliSchool of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE, USA.
Jennifer M YentesDepartment of Kinesiology & Sport Management, Texas A&M University, College Station, TX, USA.
Stephen I RennardPulmonary, Critical Care and Sleep Division, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Eric J MarkvickaSmart Materials and Robotics Laboratory, Department of Mechanical & Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PHILIBERT, INGRID · 2016 to 2025
$42.8M
SCH: A multimodal wearable device to measure physiologic couplingR01AT013148 · NCCIH · UNIVERSITY OF NEBRASKA LINCOLN · PI Eric Markvicka · 2024 to 2026
$830k
NCCIH NIH HHS R01 AT013148NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

Development of wearable devices that are easy to use and comfortable for the wearer enhances their ability to be used in settings where clinical management and support is limited, such as rural communities. This study gathered data that measured the usability of a multimodal wearable bioelectronic device to reliably and accurately monitor vital signs in real time. The participants (n=13) reported that the device was comfortable and adhered well during a 24-hour period, as well as easy to put on. Feedback was also collected to understand how the device might be improved, and participants shared concerns over the ability to expose the device to water (bathing, perspiration related to exercise), the size of the device, and ability to sleep wearing the device. Participant responses were consistent across collection methods (text survey during the 24 hour study period, follow-up paper survey, and follow-up phone survey). These results will inform the continued development and refinement of the device to enhance participant comfort to increase the feasibility of long-term remote management of chronic disease conditions, resulting in improved health outcomes, reduced costs, and improved quality-of-life.

Indexed as

remote monitoringWearable electronicswhole person health

Identifiers

PMID42371497
PMCPMC13310584

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.