Novel statistical time series data augmentation and machine learning based classification of unobtrusive respiration data for respiration Digital Twin model.

Digital Twin (DT), a concept of Healthcare (4.0), represents the subject's biological properties and characteristics in a digital model. DT can help in monitoring respiratory failures, enabling timely interventions, personalized treatment plans to improve healthcare, and decision-support for healthcare professionals.

Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0-Toward the Creation of Digital-Twin Model.

The prevalence of chronic diseases and the rapid rise in the aging population are some of the major challenges in our society. The utilization of the latest and unique technologies to provide fast, accurate, and economical ways to collect and process data is inevitable. Industry 4.

Robust estimation of HDR in fMRI using H(infinity) filters.

Estimation and detection of the hemodynamic response (HDR) are of great importance in functional MRI (fMRI) data analysis. In this paper, we propose the use of three H (infinity) adaptive filters (finite memory, exponentially weighted, and time-varying) for accurate estimation and detection of the HDR. The H (infinity) approach is used because it safeguards against the worst case disturbances and makes no assumptions on the (statistical) nature of the signals [B.