Evidence map›Paper›PMID 32079305›Full record

ArticleSensors (Basel, Switzerland)2020

Vital Block and Vital Sign Server for ECG and Vital Sign Monitoring in a Portable u-Vital System.

Tae Wuk Bae, Kee Koo Kwon, Kyu Hyung Kim

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 32% 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, 12 citations in OpenAlex.

  1. Observational
  2. 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

3 authors at 1 institution in 1 country.

Tae Wuk BaeDaegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, South Korea.
Kee Koo KwonDaegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, South Korea.
Kyu Hyung KimDaegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, South Korea.
Electronics and Telecommunications Research Institute · KR

Funding

Electronics and Telecommunications Research Institute 20ZD1100
6 · The paper itself

Abstract

An important function in the future healthcare system involves measuring a patient's vital signs, transmitting the measured vital signs to a smart device or a management server, analyzing it in real-time, and informing the patient or medical staff. Internet of Medical Things (IoMT) incorporates information technology (IT) into patient monitoring device (PMD) and is developing traditional measurement devices into healthcare information systems. In the study, a portable ubiquitous-Vital (u-Vital) system is developed and consists of a Vital Block (VB), a small PMD, and Vital Sign Server (VSS), which stores and manages measured vital signs. Specifically, VBs collect a patient's electrocardiogram (ECG), blood oxygen saturation (SpO2), non-invasive blood pressure (NiBP), body temperature (BT) in real-time, and the collected vital signs are transmitted to a VSS via wireless protocols such as WiFi and Bluetooth. Additionally, an efficient R-point detection algorithm was also proposed for real-time processing and long-term ECG analysis. Experiments demonstrated the effectiveness of measurement, transmission, and analysis of vital signs in the proposed portable u-Vital system.

Indexed as

Biosensing TechniquesBlood PressureBody TemperatureComputersDelivery of Health CareElectrocardiographyHumansMonitoring, PhysiologicOximetryTelemedicineVital SignshealthcareIoMTpatient monitoring devicevital signwireless

Identifiers

PMID32079305
PMCPMC7070820
OpenAlexW3005991535

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.