KiRAT - Kiel Real-time Application Toolkit

A report can consolidate various analyses from a study or experiment. It can display metadata associated with the examination or measurement, as well as extracted features. Additionally, it can plot different signals to visualize data. The primary purpose of this report is to summarize findings and store them in an organized manner. Furthermore, it can be customized to suit specific application needs. It can be exported as a PDF for a print-ready format or as an HTML for interactive online viewing. Additionally, raw data can be stored. It is important to notice that this has to be implemented directly in the code.

Surveys

Answers

1. Answer with a slider. The slider can be defined in the config and is displayed in the Exo as defined:
   

   eQuestionTypeWelcome_4 = 0

   % (0: slider, 1: single (1 of N), 2: multiple (m of n), 3: info to confirm)
   
   %--- Slider settgings: 4

   cSliderLabelLeftWelcome_4 = "still"
   cSliderLabelRightWelcome_4 = "äußerst gesprächig"
   iSliderMinimumWelcome_4 = 1
   iSliderMaximumWelcome_4 = 10
   bSliderTickEnabledWelcome_4 = true
   iSliderTickIntervalWelcome_4 = 1
   iSliderNumOfAdditionalLabelsWelcome_4 = 1
   iSliderPositionOfAdditionalLabelsWelcome_0_0 = 6
   cSliderAdditionalLabelsWelcome_0_0 = "normal"
   

   


2. One answer is possible. The number of answers and the answer options are adjusted and displayed.

   eQuestionTypeWelcome_5 = 1

   % (0: slider, 1: single (1 of N), 2: multiple (m of n), 3: info to confirm)
   %--- One of N answers settings: 5

   
   

   iNumOfAnswersOneOfNWelcome_5 = 5
   
   cAnswerOneOfNWelcome_5_0 = "nie"
   cAnswerOneOfNWelcome_5_1 = "selten (fast nie)"
   cAnswerOneOfNWelcome_5_2 = "manchmal"
   cAnswerOneOfNWelcome_5_3 = "oft (fast immer)"
   cAnswerOneOfNWelcome_5_4 = "immer"
   

   


3. Multiple answers are possible.

   eQuestionTypeWelcome_1 = 2

   % (0: slider, 1: single (1 of N), 2: multiple (m of n), 3: info to confirm)
   %--- Multiple-answer settings: 1

   
   

   iNumOfAnswersWelcome_1 = 2
   
   cAnswerWelcome_0_0 = "Ja"
   cAnswerWelcome_0_1 = "Nein"
   

   

With KiRAT you can output a variety of data as CSV files, including:

1. Extracted features
   
2. Patient data
   
3. Survey responses
   

It is important to notice that the ability to output data as CSV files has to be implemented directly in the code (for features) and is dependent on the specific application. Input data can be recorded directly via a recordings tool.

A possible way to open a CSV file is to use a text editor like Notepad or TextEdit. However, text editors are not designed to work with tabular data, so they may not display the data in a very user-friendly way.

Opening the CSV file in Excel is a much better option. It will display the data in a clear and organized way, and it will make it easy to work with the data. Additionally, Excel can automatically detect the delimiter that is used in the CSV file, and it can also handle CSV files that have a header reo. To ensure that the data is displayed correctly and that you can easily work with it.

Follow the following steps to open the file in Excel:

1. Open Excel.

2. Click the data tab.

3. In the Get external data group, click from Text/CSV.

4. In the import data dialog, locate the CSV file you want to open, and click import.

5. In the text import wizard dialog box, make sure that the delimited option is selected, and then click next.

6. In the delimiters step, select the comma checkbox, and then click next.

7. In the data format step, make sure that the general option is selected for all of the columns, and then click Finish.

The CSV file will be imported into a new Excel worksheet. You can then work with the data as you would with any other Excel data.

A comma-separated values (CSV) file is a plain text file that stores tabular data in a simplified format. It uses commas to separate data fields and newlines to separate records. CSV files are often used to exchange data between different applications because they are simple and easy to read.

The Exo is the user interface for KIRAT. It is a graphical application that allows users to interact with KiRAT and visualize its output. It allows the user to easily interact with the program and understand its output. The exo provides a variety of features depending on the application, such as:

Users can use the exo to start, stop, and pause KiRAT, as well as to adjust various parameters.

The exo can be used to plot various signals or features that are extracted by KiRAT.

The algorithmic core is constructing an algorithmic structure, which offers an additional graphical user interface. This part of KiRAT is written in C++ using the Qt-framework.

The left column provides quick access to the main functions of the framework. For example, the processing can be started or stopped using the corresponding buttons. The upper area shows the connection between different modules. You can also see how the modules are nested. The lower part consists mainly of monitoring tools. The plotter is used to display signals and parameters in real time. It is also possible to see the actual memory consumption and CPU load of each module.

This part of KiRAT consists of the signal processing algorithms. Everything is written in ANSI-C, which allows fast porting to many platforms. Frequently used functions such as vector operations or fast Fourier transform are called using an abstraction layer. This leads to the possibility to use processor specific optimized functions. Basically, the algorithmic core is divided into four types of functions:

Init

The initialization function of a module is used to convert user parameters to internal parameters. It also allocates dynamic memory for internal signals and parameters. Everything is controlled by initialization files.

Process

The process function is called for every new frame. It consists of the actual processing of the algorithms.

Reset

There, the internal memory is reset, resulting in a defined state.

Deinit

Freeing memory.

KiRAT also supports low-latency multi-channel AD and DA conversion using the Port Audio Library and many other interfaces for external devices. Another advantage is the ability to measure impulse responses, record signals and parameters, and simulate various types of systems and environments in real time.

KiRAT is basically divided into two parts: the algorithmic core and the algorithmic structure. The core functionality of KiRAT includes a user interface that is specifically tailored to the application itself.