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Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System

Bioimedical pilot projects e.g., telemedicine, homecare, animal and human trials usually involve several physiological measurements. Technical development of these projects is time consuming and in particular costly. A versatile but affordable biosignal measurement platform can help to reduce time a...

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Detalles Bibliográficos
Autores principales: Abtahi, Farhad, Snäll, Jonatan, Aslamy, Benjamin, Abtahi, Shirin, Seoane, Fernando, Lindecrantz, Kaj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327009/
https://www.ncbi.nlm.nih.gov/pubmed/25545268
http://dx.doi.org/10.3390/s150100093
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author Abtahi, Farhad
Snäll, Jonatan
Aslamy, Benjamin
Abtahi, Shirin
Seoane, Fernando
Lindecrantz, Kaj
author_facet Abtahi, Farhad
Snäll, Jonatan
Aslamy, Benjamin
Abtahi, Shirin
Seoane, Fernando
Lindecrantz, Kaj
author_sort Abtahi, Farhad
collection PubMed
description Bioimedical pilot projects e.g., telemedicine, homecare, animal and human trials usually involve several physiological measurements. Technical development of these projects is time consuming and in particular costly. A versatile but affordable biosignal measurement platform can help to reduce time and risk while keeping the focus on the important goal and making an efficient use of resources. In this work, an affordable and open source platform for development of physiological signals is proposed. As a first step an 8–12 leads electrocardiogram (ECG) and respiration monitoring system is developed. Chips based on iCoupler technology have been used to achieve electrical isolation as required by IEC 60601 for patient safety. The result shows the potential of this platform as a base for prototyping compact, affordable, and medically safe measurement systems. Further work involves both hardware and software development to develop modules. These modules may require development of front-ends for other biosignals or just collect data wirelessly from different devices e.g., blood pressure, weight, bioimpedance spectrum, blood glucose, e.g., through Bluetooth. All design and development documents, files and source codes will be available for non-commercial use through project website, BiosignalPI.org.
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spelling pubmed-43270092015-02-23 Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System Abtahi, Farhad Snäll, Jonatan Aslamy, Benjamin Abtahi, Shirin Seoane, Fernando Lindecrantz, Kaj Sensors (Basel) Article Bioimedical pilot projects e.g., telemedicine, homecare, animal and human trials usually involve several physiological measurements. Technical development of these projects is time consuming and in particular costly. A versatile but affordable biosignal measurement platform can help to reduce time and risk while keeping the focus on the important goal and making an efficient use of resources. In this work, an affordable and open source platform for development of physiological signals is proposed. As a first step an 8–12 leads electrocardiogram (ECG) and respiration monitoring system is developed. Chips based on iCoupler technology have been used to achieve electrical isolation as required by IEC 60601 for patient safety. The result shows the potential of this platform as a base for prototyping compact, affordable, and medically safe measurement systems. Further work involves both hardware and software development to develop modules. These modules may require development of front-ends for other biosignals or just collect data wirelessly from different devices e.g., blood pressure, weight, bioimpedance spectrum, blood glucose, e.g., through Bluetooth. All design and development documents, files and source codes will be available for non-commercial use through project website, BiosignalPI.org. MDPI 2014-12-23 /pmc/articles/PMC4327009/ /pubmed/25545268 http://dx.doi.org/10.3390/s150100093 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Abtahi, Farhad
Snäll, Jonatan
Aslamy, Benjamin
Abtahi, Shirin
Seoane, Fernando
Lindecrantz, Kaj
Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
title Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
title_full Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
title_fullStr Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
title_full_unstemmed Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
title_short Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
title_sort biosignal pi, an affordable open-source ecg and respiration measurement system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327009/
https://www.ncbi.nlm.nih.gov/pubmed/25545268
http://dx.doi.org/10.3390/s150100093
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