Chapter title |
Continuous Monitoring of the Complexity of Intracranial Pressure After Head Injury.
|
---|---|
Chapter number | 6 |
Book title |
Intracranial Pressure and Brain Monitoring XV
|
Published in |
Acta neurochirurgica Supplement, January 2016
|
DOI | 10.1007/978-3-319-22533-3_6 |
Pubmed ID | |
Book ISBNs |
978-3-31-922532-6, 978-3-31-922533-3
|
Authors |
Lu, Cheng-Wei, Czosnyka, Marek, Shieh, Jiann-Shing, Pickard, John D, Smielewski, Peter, Cheng-Wei Lu MD, PhD, Marek Czosnyka PhD, Jiann-Shing Shieh, John D. Pickard, Peter Smielewski PhD, Pickard, John D., Cheng-Wei Lu, Marek Czosnyka, Peter Smielewski |
Editors |
Beng-Ti Ang |
Abstract |
Multiscale entropy (MSE) has been increasingly used to investigate the complexity of biological signals. Our previous study demonstrated that the complexity of mean intracranial pressure (ICP), assessed by MSE based on the whole recording periods, is associated with the outcome after traumatic brain injury (TBI). To improve the feasibility of MSE in a clinical setting, this study examined whether the complexity of ICP waveforms based on shorter periods could be a reliable predictor of the outcome in patients with TBI. Results showed that the complexity of ICP slow waves, calculated in 3-h moving windows, correlates with the outcome of patients with TBI. Thus, the complexity of ICP may be a promising index to be incorporated into multimodal monitoring in patients with TBI. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 21% |
Student > Ph. D. Student | 4 | 17% |
Other | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Student > Master | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 33% |
Engineering | 3 | 13% |
Computer Science | 2 | 8% |
Neuroscience | 2 | 8% |
Psychology | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 29% |