Evidence map›Paper›PMID 38793232›Full record

ArticleMicromachines2024

An Intelligent Non-Invasive Blood Pressure Monitoring System Based on a Novel Polyvinylidene Fluoride Piezoelectric Thin Film.

Shilin Li, Taoyun Zhou, Muzhou Liu, Qiaomei Zhao, Yi Liu

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. A Flexible PVDF Sensor for Forcecardiography.Sensors (Basel, Switzerland) · 2025
    Article
  2. Article
  3. 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

5 authors.

Shilin LiSchool of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China.
Taoyun ZhouSchool of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China.
Muzhou LiuSchool of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China.
Qiaomei ZhaoSchool of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China.
Yi LiuSchool of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China.

Funding

Natural Science Foundation of Hunan Province,China NO.2023JJ50499 and NO.2023JJ50493Scientific Research Fund of Hunan Provincial Education Department NO. 23B0807
6 · The paper itself

Abstract

Hypertension is a common cause of cardiovascular diseases, closely associated with the high mortality and disability rates of cardiovascular diseases such as stroke and coronary heart disease. Therefore, developing a comfortable and sustainable device for monitoring human pulse signals holds practical significance for the prevention and treatment of hypertension and cardiovascular diseases. PVDF flexible pressure sensors possess the characteristics of high sensitivity, good flexibility, and strong biocompatibility, thereby demonstrating extensive application potential in areas such as health monitoring, wearable devices, and electronic skins. This paper focuses on the development of a modified piezoelectric polymer and its application in an intelligent blood pressure monitoring system, demonstrating its outstanding performance and feasibility through a series of experiments. This research provides innovative material choices for the development of intelligent medical devices and offers beneficial guidance for the design and application of future intelligent health monitoring systems.

Indexed as

flexible pressure sensorsintelligent blood pressure monitoringpolyvinylidene fluoride (PVDF)

Identifiers

PMID38793232
PMCPMC11123072

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.