Evidence map›Paper›PMID 41753901›Full record

ArticleMicromachines2026

A High-Sensitivity MEMS Piezoresistive Pressure Sensor for Intracranial Pressure Monitoring.

Zhiwen Yang, Yue Tang, Fang Tang, Bo Xie, Xi Ran, Huikai Xie

Abstract read
In one paragraph

Article in Micromachines, 2026. 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. 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

6 authors.

Zhiwen YangSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Yue TangSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-9912-4289
Fang TangChongqing Engineering Laboratory of High Performance Integrated Circuits, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 401331, China.
Bo XieSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Xi RanCentral Research Laboratories, Department of Critical Care, Chongqing University, Chongqing General Hospital, Chongqing 401147, China.
Huikai XieSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-8393-0021

Funding

National High Level Hospital Clinical Research Funding BJ-2024-166
6 · The paper itself

Abstract

Accurate monitoring of intracranial pressure (ICP) is critical for the diagnosis and management of neurological disorders. Although various ICP sensors have been developed, their sensitivity is often limited, restricting their ability to detect subtle pressure variations. Therefore, there is a pressing need to develop ICP sensors with enhanced sensitivity to improve measurement accuracy and patient outcomes. In this paper, a highly sensitive and precise pressure sensor for intracranial pressure (ICP) monitoring was proposed. Theoretically, the beam-membrane-island structure was introduced and optimized to improve sensitivity and linearity compared to a flat membrane structure. The notches etched at beam end were designed for further improving sensitivity. Experimentally, the designed sensor achieved a sensitivity of 1.59 mV/V//kPa and a nonlinearity of -0.22% F.S. Additionally, the sensor can detect pressure with centimeter water column (cm H

Indexed as

high sensitivityintracranial pressurepiezoresistive pressure sensor

Identifiers

PMID41753901
PMCPMC12943303

What OpenQuestion holds

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Registered trials

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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.