Skip to content

Commit

Permalink
Correcting typos
Browse files Browse the repository at this point in the history
  • Loading branch information
lcsrodriguez committed Jul 22, 2022
1 parent 83e3f39 commit 6864ef1
Showing 1 changed file with 9 additions and 5 deletions.
14 changes: 9 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,13 +18,17 @@ Official GitHub repository for **HEADAT** library: `.hea`/`.dat` files processin
PhysioBank has adopted a unified and well-structured file format in order to store and organize records and signals. The entire format system description is freely available in a highly-documented website (see [Resources](#resources))


**HEADAT** is a light-weight, fully-operational Python library used for extracting, processing, converting and exporting signals and records data (under `.hea` and `.dat` format) within specified in-program format (DataFrames, Series, ...) or out-of-file on-disk or database files (see [Supported Export format](#list-of-in-memory-conversion-types) for more details)
**HEADAT** is a light-weight, fully-operational Python library used for extracting, processing, converting and
exporting ECGs signals and records data (under `.hea` and `.dat` format) within specified in-memory formats (DataFrames, Series, ...)
or on-disk exports/database files (see [Supported Export format](#list-of-in-memory-conversion-types) for more details).

**HEADAT** has one goal : *make ECG-related signals processing **easier** and **funnier*** by :
**HEADAT** has one goal : *make ECG signals processing **easier** and **funnier*** by :
- embedding the core functions and datasets of WFDB/ECG signals within the Python data-science ecosystem : NumPy, SciPy, Bokeh, Scikit-Learn, TensorFlow, ...
- exporting data in high-quality format for further development in various languages and platforms : **Python**, **R**, **Julia**, ...
- supporting main features for High-Performance Computing (HPC) application
- using streaming solutions for real-time analytics and making insights
- exporting data in high-quality formats for further development in various languages and platforms : **Python**, **R**, **Julia**, **STATA** ...
- supporting main features for High-Performance Computing (HPC) applications
- using streaming solutions for real-time analytics and making medical insights.

As a new module, the community goal is to reach each one of these items in the coming months.

## Install

Expand Down

0 comments on commit 6864ef1

Please sign in to comment.