Evidence map›Paper›PMID 33217945›Full record

ArticleSensors (Basel, Switzerland)2020

Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System.

Qingxue Zhang, David Arney, Julian M Goldman, Eric M Isselbacher, Antonis A Armoundas

Abstract readLetter
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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Utility of a Smartphone-Based System (cvrPhone) in Estimating Minute Ventilation from Electrocardiographic Signals.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2021
    Article
  8. Review
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.

Qingxue ZhangCardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02129, USA.
David ArneyMD PnP Interoperability and Cybersecurity Program, Massachusetts General Hospital, Boston, MA 02114, USA.
Julian M GoldmanMD PnP Interoperability and Cybersecurity Program, Massachusetts General Hospital, Boston, MA 02114, USA.
Eric M IsselbacherHealthcare Transformation Lab, Massachusetts General Hospital, Boston, MA 02114, USA.
Antonis A ArmoundasCardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02129, USA.

Funding

American Heart Association 15GRNT23070001; 17UNPG33840017NIH HHS 1 R01 HL135335-01; 1 R21 HL137870-01; 1 R21 EB026164-01
6 · The paper itself

Abstract

objectiveIn this study, we built a mobile continuous Blood Oxygen Saturation (SpO2) monitor, and for the first time, explored key design principles towards daily applications.

methodsWe firstly built a customized wearable computer that can sense two-channel photoplethysmogram (PPG) signals, and transmit the signals wirelessly to smartphone. Afterwards, we explored many SpO2 model building principles, focusing on linear/nonlinear models, different PPG parameter calculation methods, and different finger types. Moreover, we further compared PPG sensor placement principles by comparing different hand configurations and different finger configurations. Finally, a dataset collected from eleven human subjects was used to evaluate the mobile health monitor and explore all of the above design principles.

resultsThe experimental results show that the root mean square error of the SpO2 estimation is only 1.8, indicating the effectiveness of the system.

conclusionThese results indicate the effectiveness of the customized mobile SpO2 monitor and the selected design principles. SIGNIFICANCE: This research is expected to facilitate the continuous SpO2 monitoring of patients with clinical indications.

Indexed as

OximetryPhotoplethysmographyAdultComputersFemaleHandHumansMaleMiddle AgedOxygenSignal Processing, Computer-AssistedSmartphoneWireless TechnologyYoung AdultOxygenblood oxygen saturationmobile healthphysiological signal processingwearable computer

Identifiers

PMID33217945
PMCPMC7698638

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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.