https://github.com/proenza-lab/paramap

Standardized parameterization of sinoatrial node myocyte action potentials
https://github.com/proenza-lab/paramap

action-potential ap cycle diastolic duration interval matplotlib myocyte numpy parameterization potential python recovery scipy sinoatrial transient upstroke

Last synced: 2 months ago
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Standardized parameterization of sinoatrial node myocyte action potentials

• Host: GitHub
• URL: https://github.com/proenza-lab/paramap
• Owner: proenza-lab
• License: gpl-2.0
• Created: 2017-03-13T22:03:02.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2021-08-24T23:24:06.000Z (over 3 years ago)
• Last Synced: 2025-01-23T08:43:50.426Z (4 months ago)
• Topics: action-potential, ap, cycle, diastolic, duration, interval, matplotlib, myocyte, numpy, parameterization, potential, python, recovery, scipy, sinoatrial, transient, upstroke
• Language: Python
• Homepage:
• Size: 2.53 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ParamAP

**Standardized parameterization of sinoatrial node myocyte action potentials**

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.823742.svg)](https://doi.org/10.5281/zenodo.823742)

ParamAP is a standalone computational tool that uses a template-free detection algorithm to automatically identify and parameterize sinoatrial myocyte action potentials.  ParamAP is written in Python 3 and it can be run on Windows, Mac OS X, or Ubuntu operating systems.  It employs a graphic user interface with automatic and user-editable input modes.  ParamAP accepts text input files and returns a total of 17 AP waveform parameters as text and graphical outputs. The software is available under the [GNU General Public License 2](https://github.com/crickert1234/ParamAP/blob/master/LICENSE).

![Screenshot of a parameterization summary](https://github.com/crickert1234/ParamAP/blob/master/img/ParamAP-Screenshot.png)

## Hardware requirements

ParamAP can be run on any computer for which [Python 3](https://www.python.org/downloads/) and the libraries [NumPy](https://www.scipy.org/scipylib/download.html), [SciPy](https://www.scipy.org/install.html), and [Matplotlib](https://matplotlib.org/users/installing.html) are available, which includes most common processor architectures and operating systems (Mac OS X, Linux/Ubuntu, Windows).  The minimum system requirements are very modest (~ 2 GB system memory, 1 GHz processor frequency,  and at least 1 GB of free disk space).  As a general rule, the minimum memory required is up to ten times the largest file size to be analyzed, which depends on the data sampling rate and the length of the recording to be read.

## Software requirements

The minimum software requirements for ParamAP are current versions of:

* `Python 3`

* `NumPy`

* `SciPy`

* `Matplotlib`

## Softare download

The latest compiled versions of ParamAP can be found on the repository's [releases](https://github.com/crickert1234/ParamAP/releases) page. However, the latest Python version of ParamAP is located in the [repository](https://raw.githubusercontent.com/christianrickert/ParamAP/master/ParamAP.py).

## Installation & Usage

Please consult the [User Manual](https://github.com/crickert1234/ParamAP/releases/download/v1.0.1/ParamAP-1.0-Manual.pdf) for information on how to install and use ParamAP.

## Development & Bug reporting

If you would like to participate in the development of ParamAP, please [fork this repository](https://help.github.com/articles/fork-a-repo) to your GitHub account. In order to report a problem with ParamAP, please login to your GitHub account and create a [new issue](https://help.github.com/articles/creating-an-issue/) in this repository.