ArticleHardwareX2025
ScientISST CORE: A novel hardware development platform for biomedical engineering.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- A Robust Self-Powered Triboelectric Sensor for Risk Mitigation in Seismic Scenarios: IoT Communication and Dimensional Monitoring.ACS omega · 2026Article
- Development and Validation of a Multimodal Wearable Belt for Abdominal Biosignal Monitoring with Application to Irritable Bowel Syndrome.Micromachines · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What OpenQuestion holds
Registered trials
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.