Heart-Rate-Detector-using-1D_CNN | Using 1d CNN , we can detect heart rate in a data stream

 by   wangyendt Python Version: Current License: No License

kandi X-RAY | Heart-Rate-Detector-using-1D_CNN Summary

kandi X-RAY | Heart-Rate-Detector-using-1D_CNN Summary

Heart-Rate-Detector-using-1D_CNN is a Python library. Heart-Rate-Detector-using-1D_CNN has no bugs, it has no vulnerabilities and it has low support. However Heart-Rate-Detector-using-1D_CNN build file is not available. You can download it from GitHub.

Using 1d CNN, we can detect heart rate in a data stream.
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            kandi-support Support

              Heart-Rate-Detector-using-1D_CNN has a low active ecosystem.
              It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 441 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Heart-Rate-Detector-using-1D_CNN is current.

            kandi-Quality Quality

              Heart-Rate-Detector-using-1D_CNN has 0 bugs and 0 code smells.

            kandi-Security Security

              Heart-Rate-Detector-using-1D_CNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Heart-Rate-Detector-using-1D_CNN code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Heart-Rate-Detector-using-1D_CNN does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Heart-Rate-Detector-using-1D_CNN releases are not available. You will need to build from source code and install.
              Heart-Rate-Detector-using-1D_CNN has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Heart-Rate-Detector-using-1D_CNN and discovered the below as its top functions. This is intended to give you an instant insight into Heart-Rate-Detector-using-1D_CNN implemented functionality, and help decide if they suit your requirements.
            • Make slice
            • Calculate the energy of the force signal
            • Visualize the model
            • Update flag status
            • Preprocess the data
            • Calculate moving average
            • Make a slice of positions
            • Calculate the flag
            • Calculate the valley index of each segment
            • Make a negative slice
            • Resizes all positions
            • Resize an array
            • Normalize an array
            • Forward convolutional layer
            • Return the number of features in x
            • Removes baseline data from baseline
            • Calculate baseline at a given position
            • Load preprocessing
            • Resizes negative data
            Get all kandi verified functions for this library.

            Heart-Rate-Detector-using-1D_CNN Key Features

            No Key Features are available at this moment for Heart-Rate-Detector-using-1D_CNN.

            Heart-Rate-Detector-using-1D_CNN Examples and Code Snippets

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            Community Discussions

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            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Heart-Rate-Detector-using-1D_CNN

            You can download it from GitHub.
            You can use Heart-Rate-Detector-using-1D_CNN like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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            gh repo clone wangyendt/Heart-Rate-Detector-using-1D_CNN

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            git@github.com:wangyendt/Heart-Rate-Detector-using-1D_CNN.git

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