University of Oulu

Ahmed I., Bykov A., Popov A., Meglinski I., Katz M. (2019) Optical Wireless Data Transfer Through Biotissues: Practical Evidence and Initial Results. In: Mucchi L., Hämäläinen M., Jayousi S., Morosi S. (eds) Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 297. Springer, Cham

Optical wireless data transfer through biotissues : practical evidence and initial results

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Author: Ahmed, Iqrar1; Bykov, Alexander2; Popov, Alexey2;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2Opto-Electronics and Measurement Techniques, University of Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe202001172467
Language: English
Published: Springer Nature, 2019
Publish Date: 2020-11-16
Description:

Abstract

Light has been used in many medical applications to monitor health status and diagnose diseases. Examples include optical sensing through nearinfrared (NIR) spectroscopy, optical coherence tomography, and pulse oximetry. In this article, we propose and demonstrate digital communications through biological tissues using near-infrared light. There are many possible uses to an optical system transmitting information across tissues. In current practices, implants predominantly use radio frequency (RF) radiation for communication. However, molecular biology restricts use of the RF in terms of power, frequency etc., while interference and security issues represent technological challenges in RF communication. In this paper, we demonstrate a novel way of employing NIR light for wireless transmission of data through biological tissues. A phantom mimicking a biological tissue is illuminated with a NIR 810 nm wavelength light-emitting diode (LED), and a light detector with line-of-sight alignment is placed on receiving end. An experimental testbed for Optical Communications through Biotissue (OCBT) was designed and implemented using mostly off-the-shelf components. Measurements for different levels of optical output power and thicknesses were carried out. Transmission rates as high as several tens of kilobits-per-second across several millimeters of tissues were achieved. Hardware limitations in modulating the baseband signal prevented achieving higher data rates. In addition, a high-resolution picture was successfully transmitted through biotissue. The communication system as well as details of the testbed implementations are presented in this paper. Moreover, initial performance measures as well as suggestions for potential use of this optical communication system are also presented and discussed.

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Series: Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
ISSN: 1867-8211
ISSN-E: 1867-822X
ISSN-L: 1867-8211
ISBN: 978-3-030-34833-5
ISBN Print: 978-3-030-34832-8
Pages: 191 - 205
DOI: 10.1007/978-3-030-34833-5_16
OADOI: https://oadoi.org/10.1007/978-3-030-34833-5_16
Host publication: Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2019
Host publication editor: Mucchi, Lorenzo
Hämäläinen, Matti
Jayousi, Sara
Morosi, Simone
Conference: EAI International Conference on Body Area Networks
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research has been funded by Academy of Finland HERONET project and partially funded by Academy of Finland (6Genesis Flagship - grant 318927 and grants 290596, 314369).
Academy of Finland Grant Number: 318927
290596
314369
Detailed Information: 318927 (Academy of Finland Funding decision)
290596 (Academy of Finland Funding decision)
314369 (Academy of Finland Funding decision)
Copyright information: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019. This is a post-peer-review, pre-copyedit version of an article published in Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2019. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-34833-5_16.