HRV stress analysis using k-NN clustering technique

Human life in the modern scenario has become quite taxing; mental health issues are on the rise. Our medical science may have progressed well enough to furnish physical health excellency in the general populace (of course, in relative terms), but mental health is still taboo. This is especially so in many of the non-first-world countries, where forthcoming mental health issues and asking for help can lead to anything from public ridicule to social ostracism. In such a scenario, it is of paramount importance that someone comes up with a more private approach to mental health care and well-being. In this paper, the authors discuss how the effects of stress can be monitored using a different implementation of k-NN (k-Nearest Neighbors). With this, using the Manhattan distance metric we were able to achieve 99.84% accuracy, and even after the application of PCA, we achieved 93.97% accuracy. © 2023 American Institute of Physics Inc.. All rights reserved.