Abstract
The time-frequency (TF) version of Renyi entropy, which measures the information content and complexity of a signal, is used here as a feature in the classification of the newborn heart rate variability (HRV) as either corresponding to seizure or non-seizure. The newborn HRV is initially mapped to the TF domain using the modified B distribution (MBD). The time-frequency distribution (TFD) of HRV is post-processed before the Renyi entropy is computed. This post-processing method uses an image processing technique called component linking to identify the true HRV components and localize them in the TF plane. The results obtained so far show that the HRV corresponding to non-seizure can be discriminated from those corresponding to seizure using TF-based Renyi entropy with 78.57% sensitivity and 83.33 % specificity.
| Original language | English |
|---|---|
| Title of host publication | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates Duration: Feb 12 2007 → Feb 15 2007 |
Other
| Other | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 |
|---|---|
| Country | United Arab Emirates |
| City | Sharjah |
| Period | 2/12/07 → 2/15/07 |
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ASJC Scopus subject areas
- Signal Processing
Cite this
Time- Frequency based Renyi entropy of heart rate variability for newborn seizure detection. / Malarvili, M. B.; Rankine, L.; Mesbah, M.; Boashash, B.
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555371.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Time- Frequency based Renyi entropy of heart rate variability for newborn seizure detection
AU - Malarvili, M. B.
AU - Rankine, L.
AU - Mesbah, M.
AU - Boashash, B.
PY - 2007
Y1 - 2007
N2 - The time-frequency (TF) version of Renyi entropy, which measures the information content and complexity of a signal, is used here as a feature in the classification of the newborn heart rate variability (HRV) as either corresponding to seizure or non-seizure. The newborn HRV is initially mapped to the TF domain using the modified B distribution (MBD). The time-frequency distribution (TFD) of HRV is post-processed before the Renyi entropy is computed. This post-processing method uses an image processing technique called component linking to identify the true HRV components and localize them in the TF plane. The results obtained so far show that the HRV corresponding to non-seizure can be discriminated from those corresponding to seizure using TF-based Renyi entropy with 78.57% sensitivity and 83.33 % specificity.
AB - The time-frequency (TF) version of Renyi entropy, which measures the information content and complexity of a signal, is used here as a feature in the classification of the newborn heart rate variability (HRV) as either corresponding to seizure or non-seizure. The newborn HRV is initially mapped to the TF domain using the modified B distribution (MBD). The time-frequency distribution (TFD) of HRV is post-processed before the Renyi entropy is computed. This post-processing method uses an image processing technique called component linking to identify the true HRV components and localize them in the TF plane. The results obtained so far show that the HRV corresponding to non-seizure can be discriminated from those corresponding to seizure using TF-based Renyi entropy with 78.57% sensitivity and 83.33 % specificity.
UR - http://www.scopus.com/inward/record.url?scp=51549104169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51549104169&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2007.4555371
DO - 10.1109/ISSPA.2007.4555371
M3 - Conference contribution
SN - 1424407796
SN - 9781424407798
BT - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
ER -