Evidence map›Paper›PMID 35200437›Full record

ReviewBioengineering (Basel, Switzerland)2022

Measuring Biosignals with Single Circuit Boards.

Guido Ehrmann, Tomasz Blachowicz, Sarah Vanessa Homburg, Andrea Ehrmann

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Guido EhrmannVirtual Institute of Applied Research on Advanced Materials (VIARAM).ORCID 0000-0002-8483-8657
Tomasz BlachowiczInstitute of Physics-Center for Science and Education, Silesian University of Technology, 44-100 Gliwice, Poland.ORCID 0000-0002-6569-124X
Sarah Vanessa HomburgFaculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany.ORCID 0000-0002-0358-8554
Andrea EhrmannFaculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany.ORCID 0000-0003-0695-3905

Funding

Federal Ministry of Education and Research 13GW0202C
6 · The paper itself

Abstract

To measure biosignals constantly, using textile-integrated or even textile-based electrodes and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes during monitoring. While in former times, this was usually solved by integrating specialized electronics into garments, either connected to a handheld computer or including a wireless data transfer option, nowadays increasingly smaller single circuit boards are available, e.g., single-board computers such as Raspberry Pi or microcontrollers such as Arduino, in various shapes and dimensions. This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignals. The review concentrates on the electronics, not on textile electrodes about which several review papers are available.

Indexed as

ArduinoECGelderlyEMGfirefightershealth conditionhealth statusRaspberry Pisportsmansweat

Identifiers

PMID35200437
PMCPMC8869486

What Socratic 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 Socratic graph.