Data Logging and Non-invasive IoMT Approach for Rats Monitoring in Laboratory Experiments

1Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

It is being observed that the use of Internet of Medical Things (IoMT) in health sciences research grows as the technology and miniaturization of devices occur. Those devices often times suffer from several issues such as: being invasive, lacking the ability to collect many signals concurrently and communication. The present work proposes an approach to the use of an ultra-small IoMT device to fulfill the functions of a bio-signals data collector, a mathematical models processor, a data transmitter-receptor through the network, and a mechanical actuators controller. Our test environment was conceived to be used in animal models. This is an ongoing project from which partial results indicate that, when functioning, the device will use real-time data for monitoring bio-signals and helping with decision-making as it interacts with the organism. The data collection is going to be made through low-cost non-invasive sensors. Therefore, it can favor installation, maintenance, access, and promote a better quality of life for the user.

Cite

CITATION STYLE

APA

Barbosa, B. C. M., Garan, S. A., Quintela, B. M., & Dantas, M. R. (2023). Data Logging and Non-invasive IoMT Approach for Rats Monitoring in Laboratory Experiments. In Lecture Notes in Networks and Systems (Vol. 661 LNNS, pp. 547–557). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-29056-5_47

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free