Evidence map›Paper›PMID 31454930›Full record

ArticleSensors (Basel, Switzerland)2019

MW-PPG Sensor: An on-Chip Spectrometer Approach.

Cheng-Chun Chang, Chien-Ta Wu, Byung Il Choi, Tong-Jing Fang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 28 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

4 authors at 3 institutions in 2 countries.

Cheng-Chun ChangDepartment of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan. ccchang@ntut.edu.tw.
Chien-Ta WuDepartment of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
Byung Il ChoinanoLambda Co. Ltd., Daejeon 34141, Korea.
Tong-Jing FangDepartment of Physiology and Biophysics, Graduate Institute of Physiology National Defense Medical Center, Taipei 11490, Taiwan.
National Taipei University of Technology · TWNational Defense Medical Center · TWNational NanoFab Center · KR

Funding

Ministry of Science and Technology, Taiwan MOST107-2221-E027-084-MY2
6 · The paper itself

Abstract

Multi-wavelength photoplethysmography (MW-PPG) sensing technology has been known to be superior to signal-wavelength photoplethysmography (SW-PPG) sensing technology. However, limited by the availability of sensing detectors, many prior studies can only use conventional bulky and pricy spectrometers as the detectors, and hence cannot bring the MW-PPG technology to daily-life applications. In this study we developed a chip-scale MW-PPG sensor using innovative on-chip spectrometers, aimed at wearable applications. Also in this paper we present signal processing methods for robustly extracting the PPG signals, in which an increase of up to 50% in the signal-to-noise ratio (S/N) was observed. Example measurements of saturation of peripheral blood oxygen (SpO

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesPhotoplethysmographyHumansSpectrum Analysismulti-wavelengthsMW-PPGon-chip spectrometers

Identifiers

PMID31454930
PMCPMC6749287
OpenAlexW2969406974

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.