Evidence map›Paper›PMID 38139525›Full record

ArticleSensors (Basel, Switzerland)2023

TRCCBP: Transformer Network for Radar-Based Contactless Continuous Blood Pressure Monitoring.

Xikang Jiang, Jinhui Zhang, Wenyao Mu, Kun Wang, Lei Li, Lin Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Xikang JiangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.ORCID 0000-0002-4352-466X
Jinhui ZhangLogistic Support Center, Chinese PLA General Hospital, Beijing 100853, China.
Wenyao MuSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Kun WangLogistic Support Center, Chinese PLA General Hospital, Beijing 100853, China.
Lei LiSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.ORCID 0000-0002-3204-6527
Lin ZhangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Funding

BUPT Excellent Ph.D. Students Foundation CX2023213Natural Science Foundation of China 61971056Project LB2022B010100
6 · The paper itself

Abstract

Contactless continuous blood pressure (BP) monitoring is of great significance for daily healthcare. Radar-based continuous monitoring methods typically extract time-domain features manually such as pulse transit time (PTT) to calculate the BP. However, breathing and slight body movements usually distort the features extracted from pulse-wave signals, especially in long-term continuous monitoring, and manually extracted features may have limited performance for BP estimation. This article proposes a

Indexed as

PhotoplethysmographyRadarBlood PressureBlood Pressure DeterminationMonitoring, PhysiologicPulse Wave Analysisblood pressurecontactless continuous monitoringIR-UWB radarpulse wavetransformer

Identifiers

PMID38139525
PMCPMC10747831

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.