Evidence map›Paper›PMID 32075120›Full record

ArticleSensors (Basel, Switzerland)2020

Investigation of an Ultra Wideband Noise Sensor for Health Monitoring.

Xuezhi Zeng, Joakim Robakowski, Mikael Persson, Albert Monteith, Andreas Fhager

Open access · goldAbstract read
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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Ultra-Wideband (UWB) Systems in Biomedical Sensing.Sensors (Basel, Switzerland) · 2022
    Article
  3. 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

5 authors at 1 institution in 1 country.

Xuezhi ZengDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.ORCID 0000-0002-6606-0386
Joakim RobakowskiDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.
Mikael PerssonDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.
Albert MonteithDepartment of Space, Earth and Environment, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.ORCID 0000-0002-6086-9328
Andreas FhagerDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.ORCID 0000-0002-9858-1688
Chalmers University of Technology · SE

Funding

VINNOVA 2016-00460
6 · The paper itself

Abstract

Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low cost ultra wideband noise sensor for medical diagnostics and vital sign monitoring in pre-hospital settings. In this work, we demonstrated the functionality of the sensor for respiration and heartbeat monitoring. In the test, metronome was used to manipulate the breathing pattern and the heartbeat rate reference was obtained with a commercial electrocardiogram (ECG) device. With seventeen tests performed for respiration rate detection, sixteen of them were successfully detected. The results also show that it is possible to detect the heartbeat rate accurately with the developed sensor.

Indexed as

MicrowavesMonitoring, PhysiologicNoiseHeart RateHumansRespirationRespiratory RateRoboticsSignal Processing, Computer-AssistedVital Signsbiomedical applicationsmicrowavetime domainultra widebandvital sign

Identifiers

PMID32075120
PMCPMC7071039
OpenAlexW3006306343

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.