Evidence map›Paper›PMID 39246218›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2024

Nanocomposite Multimodal Sensor Array Integrated with Auxetic Structure for an Intelligent Biometrics System.

Yu-Jen Cheng, Tianyi Li, Changwoo Lee, Vigneshwar Sakthivelpathi, Jin-Oh Hahn, Younghoon Kwon, Jae-Hyun Chung

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Yu-Jen ChengDepartment of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.ORCID 0009-0000-4227-1405
Tianyi LiDepartment of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.
Changwoo LeeDepartment of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.
Vigneshwar SakthivelpathiDepartment of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.
Jin-Oh HahnDepartment of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA.
Younghoon KwonDivision of Cardiology, University of Washington, Seattle, WA, 98195, USA.
Jae-Hyun ChungDepartment of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-9861-8559

Funding

Sleep Apnea-Specific Nocturnal Blood Pressure Surge to Determine Cardiovascular Risks and Therapeutic Benefits in Patients with Obstructive Sleep ApneaR01HL158765 · NHLBI · UNIVERSITY OF WASHINGTON · PI KWON, YOUNGHOON · 2021 to 2025
$3.5M
Photoplethysmography Analysis to Assess Cardio-Cerebrovascular Impact of SleepR21AG070576 · NIA · UNIVERSITY OF WASHINGTON · PI KWON, YOUNGHOON · 2020 to 2021
$530k
Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apneaR21HL167126 · NHLBI · UNIVERSITY OF WASHINGTON · PI AKBILGIC, OGUZ, AZARBARZIN, ALI · 2023 to 2024
$202k
NHLBI NIH HHS R01 HL158765NHLBI NIH HHS R21 HL167126NIA NIH HHS R21 AG070576
6 · The paper itself

Abstract

A multimodal sensor array, combining pressure and proximity sensing, has attracted considerable interest due to its importance in ubiquitous monitoring of cardiopulmonary health- and sleep-related biometrics. However, the sensitivity and dynamic range of prevalent sensors are often insufficient to detect subtle body signals. This study introduces a novel capacitive nanocomposite proximity-pressure sensor (NPPS) for detecting multiple human biometrics. NPPS consists of a carbon nanotube-paper composite (CPC) electrode and a percolating multiwalled carbon nanotube (MWCNT) foam enclosed in a MWCNT-coated auxetic frame. The fractured fibers in the CPC electrode intensify an electric field, enabling highly sensitive detection of proximity and pressure. When pressure is applied to the sensor, the synergic effect of MWCNT foam and auxetic deformation amplifies the sensitivity. The simple and mass-producible fabrication protocol allows for building an array of highly sensitive sensors to monitor human presence, sleep posture, and vital signs, including ballistocardiography (BCG). With the aid of a machine learning algorithm, the sensor array accurately detects blood pressure (BP) without intervention. This advancement holds promise for unrestricted vital sign monitoring during sleep or driving.

Indexed as

NanocompositesNanotubes, CarbonBiometryBlood PressureElectrodesHumansMonitoring, PhysiologicNanotubes, Carbonauxetic structurebiometricsblood pressuremachine learning algorithmmultimodal sensor arraynanocomposites

Identifiers

PMID39246218
PMCPMC12285158

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.