Improving Human Activity Recognition and its Application in Early Stroke Diagnosis
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Title
Improving Human Activity Recognition and its Application in Early Stroke Diagnosis
Authors
Keywords
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Journal
International Journal of Neural Systems
Volume 25, Issue 04, Pages 1450036
Publisher
World Scientific Pub Co Pte Lt
Online
2014-11-11
DOI
10.1142/s0129065714500361
References
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Related references
Note: Only part of the references are listed.- Global and regional burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 2010
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- HUMAN ACTIVITY RECOGNITION BASED ON EVOLVING FUZZY SYSTEMS
- (2010) JOSE ANTONIO IGLESIAS et al. International Journal of Neural Systems
- Online classifier construction algorithm for human activity detection using a tri-axial accelerometer
- (2008) Yen-Ping Chen et al. APPLIED MATHEMATICS AND COMPUTATION
- Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection
- (2008) S. Ghosh-Dastidar et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- An Activity Recognition System For Mobile Phones
- (2008) Norbert Győrbíró et al. MOBILE NETWORKS & APPLICATIONS
- Thrombolysis with Alteplase 3 to 4.5 Hours after Acute Ischemic Stroke
- (2008) Werner Hacke et al. NEW ENGLAND JOURNAL OF MEDICINE
- Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
- (2008) Jhun-Ying Yang et al. PATTERN RECOGNITION LETTERS
- How Active Are People With Stroke?
- (2008) Debbie Rand et al. STROKE
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