NDLI: A stroke severity monitoring system based on quantitative modified multiscale entropy

Content Provider	IEEE Xplore Digital Library
Author	Wei-Jung Jou Pei-Wen Huang Yu-Min Lin Sung-Chun Tang Dar-Ming Lai An-Yeu Wu
Copyright Year	2014
Description	Author affiliation: Grad. Inst. of Electron. Eng. (GIEE), Nat. Taiwan Univ. (NTU), Taipei, Taiwan (Wei-Jung Jou; Pei-Wen Huang; Yu-Min Lin; An-Yeu Wu) \|\| Dept. of Surg., Nat. Taiwan Univ. Hosp. (NTUH), Taipei, Taiwan (Dar-Ming Lai) \|\| Stroke center & Dept. of Neurology, Nat. Taiwan Univ. Hosp. (NTUH), Taipei, Taiwan (Sung-Chun Tang)
Abstract	Stroke is the leading cause of death and disability worldwide. This requires significant resources in health-care costs. In addition to physical examination and brain imaging, medical staff need a more quantitative and continuous method to reveal and monitor the severity of patients. This paper proposed a novel stroke severity monitoring system based on a nonlinear method-quantitative modified multiscale entropy (qmMSE). National Institutes of Health Stroke Scale (NIHSS) is adopted as reference of the severity of stroke patients. In the intensive care unit (ICU) admitted acute stroke patients, our proposed qmMSE feature has significant (p-value equals to 0.0026) difference between high NIHSS groups and low NIHSS groups. QmMSE not only highly correlates to NIHSS, but also consists with other clinical parameters, such as stroke volume and Glasgow Coma Scale (GCS). Beside, our proposed method has better significance in patient with ischemic stroke in cortical region. The p-value reaches 0.0008.
Starting Page	41
Ending Page	44
File Size	608088
Page Count	4
File Format	PDF
ISBN	9781479923465
DOI	10.1109/BioCAS.2014.6981640
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity multiscale entropy Entropy ICU monitoring Hemorrhaging Monitoring Biomedical imaging stroke severity
Content Type	Text
Resource Type	Article

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