Thermal Imaging-Based Muscular Activity in the Biomechanical Study of Surgeons

Author(s):  
Ramon Sancibrian ◽  
Maria C. Gutierrez-Diez ◽  
Carlos Redondo-Figuero ◽  
Esther G. Sarabia ◽  
Maria A. Benito-Gonzalez ◽  
...  
2015 ◽  
Vol 04 (S 01) ◽  
Author(s):  
Masao Nishiwaki ◽  
Mark Welsh ◽  
Louis Ferreira ◽  
James Johnson ◽  
Graham King ◽  
...  

1994 ◽  
Vol 33 (01) ◽  
pp. 157-160 ◽  
Author(s):  
S. Kruse-Andersen ◽  
J. Kolberg ◽  
E. Jakobsen

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.


2020 ◽  
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2009 ◽  
Vol 5 (1) ◽  
pp. 31-35
Author(s):  
F.F. Sizov ◽  
◽  
V.V. Zabudsky ◽  
A.G. Golenkov ◽  
S.L. Kravchenko ◽  
...  

2013 ◽  
Vol 133 (7) ◽  
pp. 274-279
Author(s):  
Tomoyuki Takahata ◽  
Kiyoshi Matsumoto ◽  
Isao Shimoyama

Author(s):  
Houguang Liu ◽  
Gang Cheng ◽  
Jianhua Yang ◽  
Zhihong Cheng ◽  
Zhushi Rao ◽  
...  

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