@article{1442532,
      recid = {1442532},
      author = {Wang, Xuefeng, and Li, Feng, and Pan, Suyue,},
      title = {Multi-modal EEG monitoring of severely neurologically ill  patients /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource},
      year = {2022},
      abstract = {This book provides practical information on applications  of multi-modal EEG monitoring in patients with severely  neurologically diseases. The First part systematically  introduces the modern EEG techniques, and multi-modal EEG  monitoring system for severe neurological illness. In the  second part, identification of EEG artifacts and  interpretation of common abnormal EEG patterns is  presented. Accompanying more than 50 typical cases and 200  EEG records, the following chapters discusses EEG's changes  and clinical significance in coma, ischemic-hypoxic  encephalopathy, status epilepsy, Creutzfeldt-Jakob disease,  traumatic brain injury, and other diseases in details. In  addition, application of multi-modal EEG in monitoring  intracranial pressure and predicting suicide risk is also  included. It will be a valuable reference for professionals  in neurology, neurosurgery, emergency care, psychiatry,  technology specialists of EEG and senior nurses with basic  EEG monitoring knowledge.},
      url = {http://library.usi.edu/record/1442532},
      doi = {https://doi.org/10.1007/978-981-16-4493-1},
}