Evidence map›Paper›PMID 40697813›Full record

ArticleAPL bioengineering2025

Continuous noninvasive blood pressure estimation using tissue blood flow measured by diffuse correlation spectroscopy.

Zhe Li, Jiangtao Bai, Xiangyu Cao, Xing Chen, Haiqing Song, Peng Tian, Ran Wei, Jinchao Feng, Pengyu Liu, Kebin Jia

Abstract read
In one paragraph

Article in APL bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Xiangyu Cao1st Medical Center of Chinese PLA General Hospital, Department of Neurology, Beijing, China.ORCID https://orcid.org/0000-0002-4591-3220
Xing ChenBeihang University, School of Engineering Medicine, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China.ORCID https://orcid.org/0000-0001-7084-3052
Haiqing SongXuanwu Hospital, Capital Medical University, Department of Neurology, Beijing, China.ORCID https://orcid.org/0000-0003-0390-0920
Peng TianBeijing Jishuitan Hospital, Capital Medical University, Burn and Plastic Surgery, Beijing, China.ORCID https://orcid.org/0009-0000-7457-171X
Ran WeiChina Civil Affairs University, Department of Rehabilitation Engineering, Beijing, China.ORCID https://orcid.org/0009-0005-8491-4495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure (BP) is an important parameter of human health, since hypertension is a major risk factor of the cardiovascular system. Nowadays, the continuous measurement of BP is only possible with an invasive measurement method using catheter as the gold standard. Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamics in deep tissues, which can reliably provide a blood flow index whose changes are proportional to relative changes in tissue blood flow (BF). This study presents a new solution that enables to use tissue BF measured by our developed DCS device for continuous BP monitoring via deep learning approach. We evaluated the utility of tissue BF for continuous BP estimation via a proposed BFBP model.

Identifiers

PMID40697813
PMCPMC12283116

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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.