Abstract
We are living in a digital world and Internet of Things is our last and still ongoing revolution [1]. In the last ten years, the number of devices which are connected to the internet increased ten times. This revolutionary is happening mainly in the industrial area, mainly from efficiency, time and cost reasons.
Just step behind this industrial revolution is raising another branch of this new market. This new world is called biomonitoring [2]. Even people who are not involved in research or industry are now facing the changes connected with possibilities of online bioindicators. More and more are shown devices for monitoring cardiovascular activity during sports, work and sicknesses. These personal devices usually work as a first indicator of a dangerous situation for health. Even personal electro encefalo graphs devices are hit in last years. With this device, the user is able to control another devices or processes only using user’s thoughts [3].
These new methods and products are not usually used in the fishery research area. We are proud to introduce you a novel approach to non-invasive online aquatic organism monitoring systems. This innovative research is a combination of cybernetics, biophysics and zoology. The usage of methods developed primarily for aquatic organisms is widely spread into early warning systems area. From this point of view, we can look at the animals as a living sensors.
This article is a review of three non-invasive online biomonitoring methods and one crucial water parameters online monitoring system.
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Acknowledgments
This work was supported and co-financed by the South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses (CENAKVA CZ.1.05/2.1.00/01.0024); CENAKVA II (No. LO1205 under the NPU I program); and by the South Bohemia University grant GA JU 017/2016/Z.
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Bárta, A., Souček, P., Bozhynov, V., Urbanová, P., Bekkozhayeova, D. (2018). Trends in Online Biomonitoring. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science(), vol 10813. Springer, Cham. https://doi.org/10.1007/978-3-319-78723-7_1
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