Evidence map›Paper›PMID 32075243›Full record

ArticleSensors (Basel, Switzerland)2020

MEMS-Based Pulse Wave Sensor Utilizing a Piezoresistive Cantilever.

Thanh-Vinh Nguyen, Yuya Mizuki, Takuya Tsukagoshi, Tomoyuki Takahata, Masaaki Ichiki, Isao Shimoyama

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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

Thanh-Vinh NguyenSensing System Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki 305-8564, Japan.
Yuya MizukiGraduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8656, Japan.
Takuya TsukagoshiDepartment of Intelligent Robotics, Toyama Prefectural University, Toyama 939-0398, Japan.
Tomoyuki TakahataGraduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0003-4657-5902
Masaaki IchikiSensing System Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki 305-8564, Japan.
Isao ShimoyamaDepartment of Intelligent Robotics, Toyama Prefectural University, Toyama 939-0398, Japan.

Funding

Japan Society for the Promotion of Science 17H04903
6 · The paper itself

Abstract

This paper reports on a microelectromechanical systems (MEMS)-based sensor for pulse wave measurement. The sensor consists of an air chamber with a thin membrane and a 300-nm thick piezoresistive cantilever placed inside the chamber. When the membrane of the chamber is in contact with the skin above a vessel of a subject, the pulse wave of the subject causes the membrane to deform, leading to a change in the chamber pressure. This pressure change results in bending of the cantilever and change in the resistance of the cantilever, hence the pulse wave of the subject can be measured by monitoring the resistance of the cantilever. In this paper, we report the sensor design and fabrication, and demonstrate the measurement of the pulse wave using the fabricated sensor. Finally, measurement of the pulse wave velocity (PWV) is demonstrated by simultaneously measuring pulse waves at two points using the two fabricated sensor devices. Furthermore, the effect of breath holding on PWV is investigated. We showed that the proposed sensor can be used to continuously measure the PWV for each pulse, which indicates the possibility of using the sensor for continuous blood pressure measurement.

Indexed as

cantileverMEMSpiezoresistivepulse wavepulse wave velocity

Identifiers

PMID32075243
PMCPMC7070847

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.