Evidence map›Paper›PMID 26600998›Full record

ArticleBiomedical optics express2015

Influence of a skin status on the light interaction with dermis.

Alexei A Kamshilin, Oleg V Mamontov, Vasily T Koval, Grigory A Zayats, Roman V Romashko

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2015. 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
2.4field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Current progress of photoplethysmography and SPOBiomedical engineering letters · 2019
    Review
  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

5 authors at 4 institutions in 1 country.

Alexei A KamshilinDepartment of Computer Photonics and Videomatics, ITMO University, St. Petersburg, 197101, Russia.
Oleg V MamontovPavlov First St. Petersburg State Medical University, St. Petersburg, 197022, Russia.
Vasily T KovalFederal State Institution "1477 Navy Clinical Hospital", Vladivostok, 690005, Russia.
Grigory A ZayatsFederal State Institution "1477 Navy Clinical Hospital", Vladivostok, 690005, Russia.
Roman V RomashkoInstitute for Automation and Control Processes of FEB RAS, 5 Radio St., Vladivostok, 690041, Russia ; Far Eastern Federal University, 8 Sukhanova St., Vladivostok, 690900, Russia.
Federal State Institution Hematology Research Center · RUFar Eastern Federal University · RUFirst Pavlov State Medical University of St. Petersburg · RUITMO University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present experimental evidence that the parameters of green light remitted from a human tissue in-vivo strongly depend on skin contact status. In case when the skin is free of any contact, simultaneous recording of imaging photoplethysmogram (iPPG) and electrocardiogram revealed that contactless iPPG fails in correct estimates of the heart rate in almost half of the cases. Meanwhile, the number of successful correlations between ECG and iPPG is significantly increased when the skin is in contact with a glass plate. These observations are in line with the recently proposed model in which pulsatile arteries deform the connective-tissue components of the dermis thus resulting in temporal modulation of the capillary density interacting with slightly penetrating light.

Indexed as

(170.3660) Light propagation in tissues(170.3880) Medical and biological imaging(280.1415) Biological sensing and sensors

Identifiers

PMID26600998
PMCPMC4646542
OpenAlexW2416217446

What OpenQuestion holds

Textmetadata
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.