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Sensors 2015, 15(1), 93-109; doi:10.3390/s150100093

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

1
School of Technology and Health, Royal Institute of Technology, Alfred Nobels Allé 10, Stockholm SE-141 52, Sweden
2
Academy of Care, Wellbeing and Welfare, University of Borås, Allégatan 1, Borås SE-501 90, Sweden
3
Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Hälsovägen 7, Stockholm SE-141 57, Sweden
*
Author to whom correspondence should be addressed.
Received: 30 October 2014 / Accepted: 15 December 2014 / Published: 23 December 2014
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
View Full-Text   |   Download PDF [627 KB, uploaded 29 December 2014]   |  

Abstract

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. View Full-Text
Keywords: affordable ECG; Raspberry PI; ADAS1000 analog front-end; open-source; respiration monitoring; thoracic bioimpedance; Medical device development affordable ECG; Raspberry PI; ADAS1000 analog front-end; open-source; respiration monitoring; thoracic bioimpedance; Medical device development
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Abtahi, F.; Snäll, J.; Aslamy, B.; Abtahi, S.; Seoane, F.; Lindecrantz, K. Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System. Sensors 2015, 15, 93-109.

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