Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals

TL;DR

This paper reviews nonlinear time-frequency analysis tools and their applications to high-frequency biomedical signals, highlighting recent developments and practical uses in analyzing complex time series data.

Contribution

It provides a comprehensive overview of nonlinear time-frequency analysis methods and summarizes their specific applications to biomedical high-frequency signals.

Findings

Nonlinear time-frequency tools effectively analyze complex biomedical signals.

Applications include diagnosis and monitoring of medical conditions.

The review highlights recent advancements in the field.

Abstract

Motivated by analyzing complicated time series, nonlinear-type time-frequency analysis became an active research topic in the past decades. Those developed tools have been applied to various problems. In this article, we review those developed tools and summarize their applications to high-frequency biomedical signals.