Evidence map›Paper›PMID 36942993›Full record

ArticleAdvanced healthcare materials2023

Toward Real-Time Blood Pressure Monitoring via High-Fidelity Iontronic Tonometric Sensors with High Sensitivity and Large Dynamic Ranges.

Qingzhou Wan, Qian Chen, Mark A Freithaler, Sridhar Reddy Velagala, Yihan Liu, Albert C To, Aman Mahajan, Ramakrishna Mukkamala, Feng Xiong

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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

9 authors.

Qingzhou WanDepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Qian ChenDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Mark A FreithalerDepartment of BioEngineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Sridhar Reddy VelagalaDepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Yihan LiuDepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Albert C ToDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Aman MahajanDepartment of Anesthesiology and Perioperative, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Ramakrishna MukkamalaDepartment of BioEngineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Feng XiongDepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.ORCID 0000-0001-8383-5182

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Wearable Micro-Structured Tonometric Sensor Patches for 24-Hour Ambulatory Blood Pressure MonitoringR21EB033653 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIONG, FENG · 2022 to 2024
$583k
NHLBI NIH HHS T32 HL076124NIBIB NIH HHS R21 EB033653
6 · The paper itself

Abstract

Continuous, noninvasive blood pressure (CNIBP) monitoring provides valuable hemodynamic information that renders detection of the early onset of cardiovascular diseases. Wearable mechano-electric pressure sensors that mount on the skin are promising candidates for monitoring continuous blood pressure (BP) pulse waveforms due to their excellent conformability, simple sensing mechanisms, and convenient signal acquisition. However, it is challenging to acquire high-fidelity BP pulse waveforms since it requires highly sensitive sensors (sensitivity larger than 4 × 10

Indexed as

Wearable Electronic DevicesBlood PressureHumansMonitoring, PhysiologicPressureSkincontinuous health monitoringflexible electronicsiontronic sensorsnoninvasive blood pressurepressure sensors

Identifiers

PMID36942993
PMCPMC11061714

What OpenQuestion holds

Textmetadata
LicenceTDM
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.