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Authors: Margarida Reis 1 and Hugo Plácido da Silva 2

Affiliations: 1 IT - Instituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisboa and Portugal ; 2 IT - Instituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisboa, Portugal, Polytechnic Institute of Setúbal, Campus do IPS, Estefanilha, 2914-508 Setúbal and Portugal

ISBN: 978-989-758-321-6

Keyword(s): Biomedical Devices, Data Logging, Biosignal Acquisition, Real-time Applications.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Performance Evaluation and Optimization ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Low cost hardware and open source software tools specialized in biomedical applications have recently seen a significant growth both in popularity and diversity. Within the current landscape of such tools, BITalino is increasingly used by students and professors for educational activities and prototyping, due to its modular design and flexibility. However, there is currently no user-friendly way of storing data locally without setting up a wireless connection to a receiver unit (e.g. a computer or smartphone). This poses a problem, especially in uses cases where ambulatory data acquisition is needed. In this paper we present the LoggerBIT, a data logging block to enable data recording onto a microSD card in biomedical development toolkits, without requiring a connection to a receiver nor any particular programming or electronics skills to setup. Our work builds upon the OpenLog serial data logger, to which multiple optimisations were made in terms of hardware and firmware, overcoming limitations preventing its use in high data throughput applications. Our LoggerBIT approach is suitable for high-speed data recording, with results showing that it can log data of up to 4 analog channels at 1000 Hz for 24 hour periods without loss of packets, and from all analog channels with minimal data loss. This work contributes to the state-of-the-art with a comprehensive description and validation of the block, and with a set of supporting tools released in open source, thus available for the biomedical engineering community at large. (More)

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Paper citation in several formats:
Reis, M. and Silva, H. (2018). LoggerBIT: An Optimization of the OpenLog Board for Data Logging with Low Cost Hardware Platforms for Biomedical Applications.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-321-6, pages 600-604. DOI: 10.5220/0006872306100614

@conference{icinco18,
author={Margarida Reis. and Hugo Plácido da Silva.},
title={LoggerBIT: An Optimization of the OpenLog Board for Data Logging with Low Cost Hardware Platforms for Biomedical Applications},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2018},
pages={600-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006872306100614},
isbn={978-989-758-321-6},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - LoggerBIT: An Optimization of the OpenLog Board for Data Logging with Low Cost Hardware Platforms for Biomedical Applications
SN - 978-989-758-321-6
AU - Reis, M.
AU - Silva, H.
PY - 2018
SP - 600
EP - 604
DO - 10.5220/0006872306100614

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