**5. Conclusions**

In this paper, we presented a simple and efficient contactless method for detecting individual heartbeats. The method is based on the CW Doppler radar directly coupled with an ANN stage to detect small signal ripples resulting from sub-millimeter chest movements due to heartbeats. The method has lower latency, lower computational complexity and an easier implementation on an embedded platform when compared to the traditional methodologies described in the literature, while still achieving a good heart rate estimation accuracy. With the promising results presented in this paper, we could foresee the application of the system in uses that require real-time operation, such as human detection in an industrial, automotive or clinical environment.

**Author Contributions:** Conceptualization, N.M., V.P., M.B. and M.J.; methodology, N.M. and M.B.; software, N.M., V.P. and M.B.; formal analysis, N.M. and M.B.; investigation, N.M., V.P., M.B. and M.J.; resources, V.P., V.M. and M.J.; data curation, V.P. and M.J.; writing—original draft preparation, N.M., V.P., M.B. and M.J.; project administration, V.M. and M.J.; funding acquisition, C.A., V.M. and M.J. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by the Innovation fund of Serbia, grant number ID50053, the Ministry of Education, Science and Technological Development of the Republic of Serbia, the Promobilia Foundation and Stiftelsen för bistånd åt rörelsehindrade i Skåne. The APC was funded by Lund University Library.

**Conflicts of Interest:** The authors declare no conflict of interest.
