This invention relates to the assessment of behavioural activities in experimental animals in elevated plus maze animal module with vision-based edge device.
Background of the Invention
IN 201611044522 describes how test mice using the light plus maze apparatus. This is a commonly used paradigm to test primarily for anxiety-like behavior. This procedure applies to all personnel who will test mice in the light plus maze apparatus within the Stem Cells Engraftment and in vivo Analysis Core. The testing arena is shaped like a “+.” Two arms (opposite each other) are covered with walls of glass with small layers of electric bulbs. Two other arms have tall walls that enclose the arms. All testing occurs during the dark-phase (the active phase) of the light cycle. Testing is conducted under dim white-light illumination (about 150 lux). The subjects are moved from their housing room to the testing room and allowed to acclimate for at least 10min before testing. After testing is completed, the mice are immediately returned to the housing room. The test is recorded using digital video cameras.
Research Gap: Incorporation of vision based with digital display, helps to minimize the time consumption.
IN 202011007784 relates to Modified Elevated Plus Maze (MEPM) apparatus for the Better Assessment of Behavioral Alterations and neuronal activity in Animal Experimentation. Elevated plus maze (EPM) is used widely across the world for the assessment of anxiety, learning, memory, locomotor activity, fear etc. in the laboratory animals. EPM test takes the advantage of the natural tendency of mice to explore the novel environments. However despite of the widespread use as a preclinical model, the conventional design of the EPM suffers from some major drawbacks such as presence of the central region, confusion about the placement of the animal on maze, confusion in the rodents mind, overactive closed arms because rodents often see closed arm, chances of getting stereotypic movement because of the movement in same arms, struggling of the animals to due to small width of the open arm and closed arm, animal struggle to maintain the posture, sometimes the drug which shows activity in any behavioral model the anxiety do not show activity in the EPM test or vice versa, etc. Therefore, to solve these problems modified elevated plus maze (MEPM) is designed. The key features of MEPM include: no central region, animal can be placed directly on any of the arm without conflict, easy movement due to increase width of open and closed arm, lesser stereotypic movements in the same arm (closed-closed) because each open arm faces one closed arm or vice-versa, both open and closed arm is equally active for the animals and another. MEPM thus offers the better assessment of animal behavior and neuronal activity.
Research Gap: Counting of the frequencies of animals in different arms will be easily calculated with the help of device.
IN 201711039902 discloses the long height plus-maze apparatus (LPM) is a apparatus which will be used to evaluate drugs which are used in treatment of anxiety, this is a rodent model of anxiety, and will be representative of those tests that are based upon the study of spontaneous behavior patterns. The model will be based on the test animal’s aversion to open spaces. In the LPM, this anxiety will be expressed by the animal spending more time in the enclosed arms. The long height plus maze will be used for behavioral assay for rodents and will useful to assess the anti-anxiety effects of pharmacological agents and to define brain regions and mechanisms underlying anxiety-related behavior. Briefly, rats or mice will be placed at the junction of the four arms of the maze, facing an open arm, and entries/duration in each arm are recorded by the observer simultaneously for 5 min. Other ethological parameters (i.e., rears, head dips and stretched-attend postures) will also be observed. An increase in open arm activity (duration and/or entries) will reflects anti-anxiety behavior.

Research Gap: Vision based edge device in elevated plus maze apparatus will be more beneficial over Long height plus maze apparatus.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. The present invention focuses to explore the various areas of sciences like Neurophysiology, Neuropathology, Neurodegenerative disorders, Psychological disorders. EPM apparatus is used worldwide to check the anxiety, memory, locomotion, behavior, post-traumatic stress disorder (PTSD), Traumatic brain injury (TBI). Incorporation of sensors with display in Elevated Plus Maze Apparatus helps in calculating the number of entries and retention time of animal in specific platform.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
Invention can be used for commercial purpose. It will be helpful to institutional laboratory for Researchers and Students to evaluate the effect of various drugs without spending plenty of time.
The present invention has the following advantages:
1. Total retention time of individual animal in open arms during locomotion.
2. Total retention time of individual animal in closed arms during locomotion.
3. Number of their visit frequencies in open arm.
4. Number of their visit frequencies in closed arm.
5. Time taken in specific position in open arm.
6. Time taken in specific position in closed arm.
7. Memory retention activity of individual animal.
Discloses herein An elevated plus maze (EPM) animal module with vision-based edge device for assessment of behavioral activities comprises two Vision Based Edge Device (101), computing Unit (102), Neural Compute Stick (103), Storage device (104), and Cloud (105); wherein said EPM is designed in such a way which is having two open arms of (40cm platform on each arm and 15cm width) and two closed arms (40cm platform on each arm and 15cm width).
The platform is placed at a height of 50cm above the ground level; and the two Vision Based Edge Device is placed at alternate position on Right and Left side of platform.
The Vision Based edge device is embedded in the two position of Elevated Plus Maze Animal Module. Camera is responsible to capture all the activity done by animal in platform; and the computing Unit processes the information to Neural Compute Stick (NCS).
The NCS is a tiny finless deep learning device use to learn AI programming and deep neural network. In back end Machine learning algorithm process all the information and stored at Storage device; wherein Simultaneously this information is stored in Cloud and accessed from any place.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1: Location of device along with Elevated Plus Maze Animal Module
Figure 2: Flow diagram of Vision Based Edge Device.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Elevated Plus (+) Maze animal module is used to determine the behavioural activities of animals. The EPM is designed in such a way i.e having two open arms (i.e 40cm platform on each arm and 15cm width) and two closed arms (i.e 40cm platform on each arm and 15cn width). The platform will be placed at a height of 50cm above the ground level. The two Vision Based Edge Device (A) is placed at alternate position on Right and Left side of platform.
The Vision Based edge device will be embedded in the two position of Elevated Plus Maze Animal Module. A Camera (A) will responsible to capture all the activity done by animal in platform. The computing Unit (B) will process the information to Neural Compute Stick (C). NCS is a tiny fanless deep learning device use to learn AI programming and deep neural network. In back end Machine learning algorithm will process all the information and stored at Storage device (E). Simultaneously this information can be stored in Cloud (F) and can be accessed from any place.
The following data will be interpreted with the device:
1. Total retention time of individual animal in open arms during locomotion.
2. Total retention time of individual animal in closed arms during locomotion.
3. Number of their visit frequencies in open arm.
4. Number of their visit frequencies in closed arm.
5. Time taken in specific position in open arm.
6. Time taken in specific position in closed arm.
7. Memory retention activity of individual animal.

WE CLAIM:

1. An elevated plus maze (EPM) animal module with vision-based edge device for assessment of behavioral activities comprises two Vision Based Edge Device (101), computing Unit (102), Neural Compute Stick (103), Storage device (104), and Cloud (105); wherein said EPM is designed in such a way which is having two open arms of (40cm platform on each arm and 15cm width) and two closed arms (40cm platform on each arm and 15cm width).
2. The device as claimed in claim 1, wherein the platform is placed at a height of 50cm above the ground level; and the two Vision Based Edge Device is placed at alternate position on Right and Left side of platform.
3. The device as claimed in claim 1, wherein said Vision Based edge device is embedded in the two position of Elevated Plus Maze Animal Module.
4. The device as claimed in claim 1, wherein a Camera is responsible to capture all the activity done by animal in platform; and the computing Unit processes the information to Neural Compute Stick (NCS).
5. The device as claimed in claim 1, wherein NCS is a tiny finless deep learning device use to learn AI programming and deep neural network.
6. The device as claimed in claim 1, wherein in back end Machine learning algorithm process all the information and stored at Storage device; wherein Simultaneously this information is stored in Cloud and accessed from any place.