Evidence map›Paper›PMID 40083866›Full record

ArticleHardwareX2025

ScientISST CORE: A novel hardware development platform for biomedical engineering.

Leonor Pereira, Francisco de Melo, Frederico Almeida Santos, Afonso Fortes Ferreira, Hugo Plácido da Silva

Abstract read
In one paragraph

Article in HardwareX, 2025. 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

5 authors.

Leonor PereiraInstituto Superior Técnico, Universidade de Lisboa, 1050-049 Lisboa, Portugal.
Francisco de MeloInstituto Superior Técnico, Universidade de Lisboa, 1050-049 Lisboa, Portugal.
Frederico Almeida SantosInstituto Superior Técnico, Universidade de Lisboa, 1050-049 Lisboa, Portugal.
Afonso Fortes FerreiraInstituto Superior Técnico, Universidade de Lisboa, 1050-049 Lisboa, Portugal.
Hugo Plácido da SilvaIT - Instituto de Telecomunicações, 1049-001 Lisboa, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, the use of biosignals is no longer limited to the traditional healthcare and medical domains, thanks to the application of biomedical engineering principles and devices in other domains, paving the way to the broader field of physiological computing. The increasing interest from the global engineering community, together with the challenges associated with the stringent requirements of biosignal acquisition, have motivated the development of enabling low-cost instruments for physiological sensing. Still, the use of some of these instruments in experimental activities and practical projects is still bounded by the cost and limited access to adequate support materials. In this paper, we present a novel low-cost hardware architecture especially designed for biosignal acquisition, and pre-programmed with a firmware optimized for real-time data acquisition and streaming. Our approach can be used seamlessly with available open-source software and APIs, without requiring extensive knowledge of electronics or programming. We also describe a series of tests conducted to evaluate the performance of this device, as a way of verifying its suitability for use in engineering and scientific work. Overall, the results presented here show that there is no loss of data in communication, accurate sampling rates, and high noise rejection capabilities in the tested conditions.

Indexed as

Biomedical devicesBiomedical instrumentationBiosignal acquisitionDo-it-Yourself (DiY)

Identifiers

PMID40083866
PMCPMC11903951

What OpenQuestion holds

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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.