Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury
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Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury
Summary
Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury is a doctoral thesis[1].
Key Facts
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury authored Hamid Abbasi[2].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's instance of is recorded as doctoral thesis[3].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's publisher is recorded as ResearchSpace@Auckland[4].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's country of origin is recorded as New Zealand[5].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's publication date is recorded as +2017-00-00T00:00:00Z[6].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's main subject is recorded as engineering physics[7].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/37346[8].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's Handle ID is recorded as 2292/37346[9].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's title is recorded as Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury[10].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's copyright holder is recorded as Hamid Abbasi[11].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's thesis submitted to is recorded as University of Auckland[12].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's copyright status is recorded as copyrighted[14].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's online access status is recorded as open access[15].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's thesis committee member is recorded as Charles Unsworth[16].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's thesis committee member is recorded as Alistair Gunn[17].
- Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's thesis committee member is recorded as Laura Bennet[18].
Body
Designation and Status
Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury's instance of is recorded as doctoral thesis[3].