Değirmenci, DuyguYalçın, MelikeÖzdemir, Mehmet AkifAkan A.2023-06-162023-06-1620209.78E+12https://doi.org/10.1109/TIPTEKNO50054.2020.9299225https://hdl.handle.net/20.500.14365/36342020 Medical Technologies Congress, TIPTEKNO 2020 -- 19 November 2020 through 20 November 2020 -- 166140Time-frequency representation (TFR) provides a good analysis for periodic signals; however, they are insufficient for nonstationary signals. The synchrosqueezing transform (SST) provides a strong analysis of nonstationary signals. The signal has different synchrosqueezing transformations that are implemented using different TFR. This paper provides a review of the different SST methods implemented using different TFR available in the literature, a comparison of these, and their use with different techniques in biomedical signal processing applications. Adding different techniques to the applied SST method affects the signal processing and classification ability of the selected SST method. © 2020 IEEE.eninfo:eu-repo/semantics/closedAccessBiomedical ApplicationsSignal ProcessingSynchrosqueezingTime-FrequencyBiomedical engineeringBiomedical signal processingMedical applicationsBiomedical applicationsBiomedical signalClassification abilityNonstationary signalsPeriodic signalSynchrosqueezingTime-frequency representationsSignal analysisConference Object10.1109/TIPTEKNO50054.2020.92992252-s2.0-85099473927