**3. Conclusions**

Current and developing features show that embedded system applications will increasingly continue to be used in biomedical applications, as in all areas of use.

Expectation from embedded system application in biomedical systems as in others; industrial endpoint devices with various sensors on them are fault-tolerant and self-calibrated systems that aim to be able to influence the outside world and generate meaningful data, have a process capability when necessary, have a logical and virtual sensor approach. It is inevitable that the number of companies designing embedded systems will increase and the market will grow. New and better versions of the design cards are expected to be launched. The increase in software libraries and the low cost of embedded systems in health care will cause them to be preferred more because of their portability. It is also predicted that artificial intelligence applications in health will continue to increase with systems integrated with embedded systems and new software.

Any other expectations;


Apart from these, it is not difficult to predict that new designs will be made in line with the needs that have not yet come to mind.

The applications of embedded systems, which are generally tried to be explained in more basic lines, make them more preferable due to the increasing need arising and their practical and low cost. Embedded system applications where real-time solutions, ANN, CNN, Machine Learning, Deep Learning, Federated Learning, NLP applications and more are used together or separately will increase in diversity.
