Event time:
Friday, March 1, 2024 - 2:00pm
Location:
LOM 214
Speaker:
Hau-Tieng Wu
Speaker affiliation:
NYU
Event description:
In this presentation, I will explore recent advancements in decomposing intricate biorhythmic time series utilizing time-frequency analysis coupled with statistical inference using a nonlinear time-frequency analysis technique known as Synchrosqueezing Transform (SST). Its motivation and application to digital health will be provided. If time permits, I will advocate the necessity of reconsidering what phase is with these refined tools, and discuss its potential application in patients with chronic obstructive pulmonary disease (COPD).