Development of Super Hi-Vision Compact Cameras and Recording System

Neural Network for Automatic Analysis of Motility Data

Methods of Information in Medicine ◽

10.1055/s-0038-1634978 ◽

1994 ◽

Vol 33 (01) ◽

pp. 157-160 ◽

Cited By ~ 2

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.

Download Full-text

The Development of an Automatic Chronic Otitis Media Operation Recording System with Concurrent Data Input Process

Korean Journal of Otorhinolaryngology - Head and Neck Surgery ◽

10.3342/kjorl-hns.2012.55.1.14 ◽

2012 ◽

Vol 55 (1) ◽

pp. 14

Author(s):

Sung Wan Byun ◽

Soo Yeon Jung ◽

Ilhoe Jung ◽

Jin Young Park

Keyword(s):

Otitis Media ◽

Chronic Otitis Media ◽

Recording System ◽

Data Input ◽

Input Process

Download Full-text

EFFECT OF LOCALLY IMPLANTED OESTROGEN ON THE RESPONSE OF THE RAT'S LACTATING MAMMARY GLAND TO OXYTOCIN

Acta Endocrinologica ◽

10.1530/acta.0.0730700 ◽

1973 ◽

Vol 73 (4) ◽

pp. 700-712 ◽

Cited By ~ 1

Author(s):

J. D. Bruce ◽

X. Cofre ◽

V. D. Ramirez

Keyword(s):

Mammary Gland ◽

Mammary Glands ◽

Myoepithelial Cells ◽

Recording System ◽

Saline Infusion ◽

High Dose ◽

Low Doses ◽

Milk Ejection ◽

Lactating Mammary Gland ◽

Small Rise

ABSTRACT On the day following delivery (day 1 of lactation) one abdominal mammary gland was implanted with oestrogen and the contralateral gland received an empty needle. At 2, 5 or 10 days of lactation the rats were anaesthetized with pentobarbital and the nipples of both abdominal glands were cannulated and their pressures recorded by means of transducers coupled to an amplifier and recording system. The normal mammary glands of 5-day lactating rats responded to very low doses of oxytocin (Syntocinon®, Sandoz) (5× 10−8 mU) with a rhythmic elevation in pressure. However, saline infusion also evoked a small rise in intra-mammary pressure. Earlier (2 days) and later (10 days) in lactation the responses were smaller. Oestrogen decreases significantly the milk ejection response to oxytocin, and the effect was maximal at day 10 of lactation. Histological observations confirmed the diminished reaction of the gland to oxytocin, since the milk was retained in the alveoli of rats bearing a mammary-oestrogen implant. A paradoxical rise in pressure was detected in normal as well as in oestrogen-implanted glands when the lowest dose of oxytocin was injected in lactating rats which had previously received a high dose of oxytocin (50 mU or 500 mU). These results reinforce the hypothesis that oestrogen alters the milk ejection response to oxytocin and that the mechanism is probably related to changes in the contractility of the myoepithelial cells.

Download Full-text