Browsing by Author "Dong S."
Now showing items 1-5 of 5
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Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals
Dong S.; Boashash B.; Azemi G.; Lingwood B.E.; Colditz P.B. (2013 , Conference Paper)This paper presents a time-frequency approach to detect perinatal hypoxia by characterizing the nonstationary nature of heart rate variability (HRV) signals. Quadratic time-frequency distributions (TFDs) are used to represent ... -
Improved characterization of HRV signals based on instantaneous frequency features estimated from quadratic time-frequency distributions with data-adapted kernels
Dong S.; Azemi G.; Boashash B. ( Elsevier Ltd , 2014 , Article)The analysis of heart rate variability (HRV) provides a non-invasive tool for assessing the autonomic regulation of cardiovascular system. Quadratic time-frequency distributions (TFDs) have been used to account for the ... -
Performance evaluation of multi-component instantaneous frequency estimation techniques for heart rate variability analysis
Dong S.; Azemi G.; Lingwood B.; Colditz P.B.; Boashash B. (2012 , Conference Paper)Accurate instantaneous frequency (IF) estimation of the non-stationary heart rate signal is important in quantifying the heart rate variability (HRV) measures. This study compares the effectiveness of four IF estimation ... -
Time-frequency analysis of heart rate variability in neonatal piglets exposed to hypoxia
Dong S.; Mesbah M.; Lingwood B.E.; O'Toole J.M.; Boashash B. (2011 , Conference Paper)To determine whether the sympathetic nervous system plays any role in the inter-individual variation of cardiovascular response to hypoxia in newborns, neonatal heart rate variability (HRV) analysis was used to assess ... -
Time-frequency methodologies in neurosciences
Boashash, B.; Stevenson, N.J.; Rankine, L.J.; Stevenson, N.J.; Azemi, G.; Sejdić, E.; Aviyente, S.; Akan, A.; Mert, A.; Dong, S.; Omidvarnia, A.; Zarjam, P.; O'Toole, J.M.; Colditz, P.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)This chapter presents a number of time-frequency (t,f) techniques that can provide advanced solutions to several problems in neuro-sciences with focus on the monitoring of brain abnormalities using EEG and other physiological ...