Leonor Pereira , Francisco de Melo , Frederico Almeida Santos , Afonso Fortes Ferreira , Hugo Plácido da Silva
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引用次数: 0
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.
HardwareXEngineering-Industrial and Manufacturing Engineering
CiteScore
4.10
自引率
18.20%
发文量
124
审稿时长
24 weeks
期刊介绍:
HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.