scholarly journals Development of a method of exposed characteristic points in activity pattern for rat behaviour classification

2012 ◽  
Vol 18 (1) ◽  
pp. 23-28
Author(s):  
Kamil Stefko ◽  
Tomasz Bukowski ◽  
Michał Urbański
Keyword(s):  
Locomotor Activity ◽  
Activity Pattern ◽  
Fast Method ◽  
Activity Data ◽  
Activity Diagram ◽  
Laboratory Rats ◽  
Characteristic Points ◽  
Classic Form ◽  
Build System

A fast method for visual inspection and classification of massive locomotor activity data registered from laboratory rats is presented. Positions in the home cage of one hundred rats have been constantly recorded during 90 day period using photodiodes and beam crossing method with use of custom build system. Direct inspection and comparison of classic form of actograms did not bring information for fast and easy recognition of anomalies in daily behavioural cycle. A method of obtaining fast and easy to compare locomotor activity pattern is presented. The key point of proposed method is exposition of characteristic points in the activity diagram. About 9000 actograms were inspected and classified for investigation with use of ANOVA.

scholarly journals Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes

Diagnostics ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 162 ◽  
Author(s):  
Julieta G. Rodríguez-Ruiz ◽  
Carlos E. Galván-Tejada ◽  
Laura A. Zanella-Calzada ◽  
José M. Celaya-Padilla ◽  
Jorge I. Galván-Tejada ◽  
...  
Keyword(s):  
Data Mining ◽  
Motor Activity ◽  
Random Forest Classifier ◽  
Machine Learning Algorithms ◽  
World Population ◽  
Activity Data ◽  
The World ◽  
Depressive Episodes ◽  
Full Day

Major Depression Disease has been increasing in the last few years, affecting around 7 percent of the world population, but nowadays techniques to diagnose it are outdated and inefficient. Motor activity data in the last decade is presented as a better way to diagnose, treat and monitor patients suffering from this illness, this is achieved through the use of machine learning algorithms. Disturbances in the circadian rhythm of mental illness patients increase the effectiveness of the data mining process. In this paper, a comparison of motor activity data from the night, day and full day is carried out through a data mining process using the Random Forest classifier to identified depressive and non-depressive episodes. Data from Depressjon dataset is split into three different subsets and 24 features in time and frequency domain are extracted to select the best model to be used in the classification of depression episodes. The results showed that the best dataset and model to realize the classification of depressive episodes is the night motor activity data with 99.37% of sensitivity and 99.91% of specificity.

scholarly journals Device-measured physical activity data for classification of patients with ventricular arrhythmia events: A pilot investigation

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0206153 ◽  
Author(s):  
Lucas Marzec ◽  
Sridharan Raghavan ◽  
Farnoush Banaei-Kashani ◽  
Seth Creasy ◽  
Edward L. Melanson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ventricular Arrhythmia ◽  
Activity Data ◽  
Physical Activity Data ◽  
Pilot Investigation

scholarly journals Adult female rats' altered diurnal locomotor activity pattern following chronic methylphenidate treatment

2013 ◽  
Vol 120 (12) ◽  
pp. 1717-1731 ◽  
Author(s):  
T. N. Trinh ◽  
S. R. Kohllepel ◽  
P. B. Yang ◽  
K. D. Burau ◽  
N. Dafny
Keyword(s):  
Locomotor Activity ◽  
Adult Female ◽  
Activity Pattern ◽  
Female Rats

Sensitivity, specificity, and utility of locomotor activity data generated with the kinder motor monitor system in neurotoxicity safety assessment

2013 ◽  
Vol 68 (1) ◽  
pp. e6
Author(s):  
Jacqueline Walisser ◽  
Christopher Elders ◽  
Brittney Epping ◽  
Hiya Banerjee ◽  
Christopher Douglas ◽  
...  
Keyword(s):  
Locomotor Activity ◽  
Safety Assessment ◽  
Monitor System ◽  
Activity Data ◽  
Sensitivity Specificity

Behavioral Changes in Rats following Bufotenine Injection

1969 ◽  
Vol 28 (2) ◽  
pp. 527-533 ◽  
Author(s):  
Gordon Winocur ◽  
S. P. Bagchi ◽  
Joseph D. Young
Keyword(s):  
Locomotor Activity ◽  
Activity Pattern ◽  
Drug Dosage ◽  
Sampling Procedure ◽  
Behavioral Changes ◽  
Behavioral Effects ◽  
Time Sampling ◽  
Response Decrement ◽  
General Activity ◽  
Sensory Processes

A time sampling procedure was used to observe the behavioral effects of IP bufotenine injection in the rat. The results indicated an attenuation of locomotor activity which varied directly as a function of drug dosage. In addition, all response components typically associated with a general activity pattern were selectively affected by bufotenine. Interpretation of the response decrement in terms of a generalized motor loss was not supported by other aspects of the data. Evidence suggesting that behavioral changes following bufotenine treatment are due to a disruption of sensory processes was discussed.

Apparatus for the Quantitative Determination of Locomotor Activity Patterns of Aquatic Organisms Using Infrared Light-Emitting Diodes

1975 ◽  
Vol 32 (10) ◽  
pp. 1884-1885 ◽  
Author(s):  
Claude R. Cripe ◽  
Jesse H. Cripe ◽  
Robert J. Livingston
Keyword(s):  
Locomotor Activity ◽  
Quantitative Determination ◽  
Light Emitting Diodes ◽  
Activity Patterns ◽  
Aquatic Organisms ◽  
Infrared Light ◽  
Light Sources ◽  
Activity Data ◽  
Light Emitting

Photoelectric methods of measuring the activity of aquatic organisms allow unrestrained movement of the animal being studied but may disrupt exogenously controlled rhythms if the light is visible. An apparatus is described that uses infrared light-emitting diodes that eliminate some of the problems associated with incandescent light sources. A graph of the locomotor activity data of two pigfish (Orthopristis chrysoptera) which was produced by this apparatus is included.

scholarly journals Respiratory Activity as a Fast Method for Vigor Differentiation of Habanero Pepper Seeds

2019 ◽  
Vol 11 (2) ◽  
pp. 420
Author(s):  
Elise de Matos Pereira ◽  
Aline Silva Freitas ◽  
Heloisa Oliveira dos Santos ◽  
Renato Mendes Guimarães ◽  
Sophia Mangussi Franchi Dutra ◽  
...  
Keyword(s):  
Respiratory Activity ◽  
Fast Method ◽  
Habanero Pepper ◽  
Germination Speed ◽  
Physiological Quality ◽  
Physicochemical Methods ◽  
Pepper Seed

The objective of this study was to evaluate the efficiency and rapidity of the Pettenkofer and Titulation methods in the determination of respiratory activity and its relation with the vigor of habanero pepper seeds. For this, six lots of habanero pepper seeds were evaluated for respiratory activity, through Pettenkofer and Titulation physicochemical methods, and for physiological quality via tests of germination, first germination count, germination speed index, emergence, initial stand, emergence speed index and electrical conductivity. Biochemical analyzes were also carried out using the electrophoresis of the esterase (EC 3.1.1.1.) and alcohol dehydrogenase (EC 1.1.1.2.), and the quantification of the endo-β-mannanase enzyme (EC 3.2.1.78). The tests of physiological quality and the respiratory activity of the seeds allowed the classification of the habanero pepper seed lots at different vigor levels. There was a correlation between the respiratory activity with the tests used to evaluate the physiological quality of the seeds and with the endo-β-mannanase enzyme. It is concluded that the Pettenkofer and Titulation methods are promising for the evaluation of the deterioration level and the discrimination of lots of habanero pepper seeds with different vigor levels.

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