Evidence map›Paper›PMID 30393366›Full record

ArticleMicromachines2018

Wearable Pulse Wave Monitoring System Based on MEMS Sensors.

Yu Sun, Ying Dong, Ruyi Gao, Yao Chu, Min Zhang, Xiang Qian, Xiaohao Wang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 38 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Yu SunGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, China. sy15@mails.tsinghua.edu.cn.
Ying DongGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, China. dong.ying@sz.tsinghua.edu.cn.
Ruyi GaoGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, China. gry17@mails.tsinghua.edu.cn.
Yao ChuTsinghua-Berkeley Shenzhen Institute, University Town of Shenzhen, Shenzhen 518055, China. chuy15@mails.tsinghua.edu.cn.
Min ZhangGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, China. zhang.min@sz.tsinghua.edu.cn.
Xiang QianGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, China. qian.xiang@sz.tsinghua.edu.cn.ORCID 0000-0003-2487-8785
Xiaohao WangGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, China. wang.xiaohao@sz.tsinghua.edu.cn.
University Town of Shenzhen · CN

Funding

National High Technology Research and Development Plan of China 2015AA043505Shenzhen Science and Technology Research and Development Funds JCYJ20150831192244849Shenzhen Science and Technology Research and Development Funds JCYJ20160411164305110
6 · The paper itself

Abstract

Pulse wave monitoring is critical for the evaluation of human health. In this paper, a wearable multi-sensor pulse wave monitoring system is proposed and demonstrated. The monitoring system consists of a measuring unit and an analog circuit processing unit. The main part of the measuring unit is a flexible printed circuit board (PCB) with a thickness of 0.15 mm, which includes three micro-electromechanical system (MEMS) pressure sensors softly packaged by polydimethylsiloxane (PDMS), a blood oxygen detector and a MEMS three-axis accelerometer. The MEMS pressure sensors,the blood oxygen detector and the accelerometer are fixed on the expected locations of the flexible PCB. The analog circuit processing unit includes a power supply module, a filter and an amplifier. The pulse waves of two volunteers are detected by the monitoring system in this study. The output signals of the analog circuit processing module are processed and analyzed. In the preliminary test, the time delay of the three pressure pulse waves has been detected and the calculated pulse wave velocities (PWVs) are 12.50 and 11.36 m/s, respectively. The

Indexed as

MEMS sensorpulse wavesignal processingwearable device

Identifiers

PMID30393366
PMCPMC6187337
OpenAlexW2793683257

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.