Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals

Article ID	Journal	Published Year	Pages	File Type
4973530	Biomedical Signal Processing and Control	2017	7 Pages	PDF

Abstract

The performance of the classification algorithms indicates that it is possible to use ECG and acceleration signals to automatically derive useful information regarding resuscitation activities.

Keywords

Acceleration signal Wavelet packet decomposition Linear discriminant analysis Birth asphyxia Decision tree ECG Signal Newborns

Related Topics

Physical Sciences and Engineering Computer Science Signal Processing

Preview

Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals

Authors

Huyen Vu, Kjersti Engan, Trygve EftestÃ¸l, Aggelos Katsaggelos, Samwel Jatosh, Simeon Kusulla, Estomih Mduma, Hussein Kidanto, Hege Ersdal,