Parameter Extraction for Automatic Analysis of ECG Traces

1984 ◽  
pp. 222-230
Author(s):  
R. Balzarotti ◽  
F. Bartoli ◽  
G. Baselli ◽  
S. Cerutti ◽  
D. Liberati
Keyword(s):  
Parameter Extraction ◽  
Automatic Analysis

Neural Network for Automatic Analysis of Motility Data

1994 ◽  
Vol 33 (01) ◽  
pp. 157-160 ◽  
Author(s):  
S. Kruse-Andersen ◽  
J. Kolberg ◽  
E. Jakobsen
Keyword(s):  
Neural Network ◽  
Muscular Activity ◽  
Recording System ◽  
Automatic Analysis ◽  
Biologically Relevant ◽  
System A ◽  
The Neural Network ◽  
Valuable Method ◽  
Motor Abnormalities ◽  
Trained Network

Abstract:Continuous recording of intraluminal pressures for extended periods of time is currently regarded as a valuable method for detection of esophageal motor abnormalities. A subsequent automatic analysis of the resulting motility data relies on strict mathematical criteria for recognition of pressure events. Due to great variation in events, this method often fails to detect biologically relevant pressure variations. We have tried to develop a new concept for recognition of pressure events based on a neural network. Pressures were recorded for over 23 hours in 29 normal volunteers by means of a portable data recording system. A number of pressure events and non-events were selected from 9 recordings and used for training the network. The performance of the trained network was then verified on recordings from the remaining 20 volunteers. The accuracy and sensitivity of the two systems were comparable. However, the neural network recognized pressure peaks clearly generated by muscular activity that had escaped detection by the conventional program. In conclusion, we believe that neu-rocomputing has potential advantages for automatic analysis of gastrointestinal motility data.

An automatic analysis system for online hotel reviews

2014 ◽  
Author(s):  
Phichayasini Kitwatthanathawon ◽  
Thara Angskun ◽  
Jitimon Angskun
Keyword(s):  
Automatic Analysis ◽  
Analysis System

Application of Computer Vision in The Automatic Analysis of Feeding Behavior inC. elegans

2013 ◽  
Vol 40 (2) ◽  
pp. 188
Author(s):  
Hai-Ning ZHANG ◽  
Wen-Ming HUANG ◽  
Jia-Jun FU ◽  
Xiang-Ping XU ◽  
Tao XU
Keyword(s):  
Computer Vision ◽  
Feeding Behavior ◽  
Automatic Analysis

Automatic Analysis of Emotional Prosody in Mandarin Chinese: Applying the Momel Algorithm

2014 ◽  
Author(s):  
Ting Wang ◽  
Hongwei Ding ◽  
Qiuwu Ma ◽  
Daniel Hirst
Keyword(s):  
Mandarin Chinese ◽  
Automatic Analysis ◽  
Emotional Prosody
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