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Biomedical Engineering and Bioengineering Commons™
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- Keyword
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- Applied sciences (2)
- Anxiety (1)
- Beat classification (1)
- Biological sciences (1)
- Bottom-up (1)
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- Brain (1)
- Decision making (1)
- Diphenoxylate (1)
- Electrocardiogram (1)
- Granger causality (1)
- Human reaching intentions (1)
- MATLAB (1)
- Multi-electrode recording (1)
- Neural network (1)
- Propranolol (1)
- Psychology (1)
- Rhythm classification (1)
- Rodent (1)
- Signal detection (1)
- Single-lead (1)
- Stretch-Attend Posture (1)
Articles 1 - 3 of 3
Full-Text Articles in Biomedical Engineering and Bioengineering
Anxiolytic Effects Of Propranolol And Diphenoxylate On Mice And Automated Stretch-Attend Posture Analysis, Kevin Scott Holly
Anxiolytic Effects Of Propranolol And Diphenoxylate On Mice And Automated Stretch-Attend Posture Analysis, Kevin Scott Holly
Doctoral Dissertations
The prevention of social anxiety, performance anxiety, and social phobia via the combination of two generic drugs, diphenoxylate HC1 (opioid) plus atropine sulfate (anticholinergic) and propranolol HCl (beta blocker) was evaluated in mice through behavioral studies. A patent published on a September 8, 2011 by Benjamin D. Holly, US 2011/0218215 Al, prompted the research. The drug combination of diphenoxylate and atropine plus propranolol could be an immediate treatment for patients suffering from acute phobic and social anxiety disorders. Demonstrating the anxiolytic effects of the treatment on mice would validate a mouse model for neuroscientist to be used to detect the …
Nonlinear Granger Causality And Its Application In Decoding Of Human Reaching Intentions, Mengting Liu
Nonlinear Granger Causality And Its Application In Decoding Of Human Reaching Intentions, Mengting Liu
Doctoral Dissertations
Multi-electrode recording is a key technology that allows the brain mechanisms of decision making, cognition, and their breakdown in diseases to be studied from a network perspective. As the hypotheses concerning the role of neural interactions in cognitive paradigms become increasingly more elaborate, the ability to evaluate the direction of neural interactions in neural networks holds the key to distinguishing their functional significance.
Granger Causality (GC) is used to detect the directional influence of signals between multiple locations. To extract the nonlinear directional flow, GC was completed through a nonlinear predictive approach using radial basis functions (RBF). Furthermore, to obtain …
Bottom-Up Design Of Artificial Neural Network For Single-Lead Electrocardiogram Beat And Rhythm Classification, Srikanth Thiagarajan
Bottom-Up Design Of Artificial Neural Network For Single-Lead Electrocardiogram Beat And Rhythm Classification, Srikanth Thiagarajan
Doctoral Dissertations
Performance improvement in computerized Electrocardiogram (ECG) classification is vital to improve reliability in this life-saving technology. The non-linearly overlapping nature of the ECG classification task prevents the statistical and the syntactic procedures from reaching the maximum performance. A new approach, a neural network-based classification scheme, has been implemented in clinical ECG problems with much success. The focus, however, has been on narrow clinical problem domains and the implementations lacked engineering precision. An optimal utilization of frequency information was missing. This dissertation attempts to improve the accuracy of neural network-based single-lead (lead-II) ECG beat and rhythm classification. A bottom-up approach defined …