-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #55 from biomarkersParkinson/main
A new updated release
- Loading branch information
Showing
2 changed files
with
44 additions
and
12 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -2,8 +2,9 @@ | |
# Visit https://bit.ly/cffinit to generate yours today! | ||
|
||
cff-version: 1.2.0 | ||
title: paradigma | ||
abstract: "Digital Biomarkers for Parkinson's Disease Toolbox" | ||
title: >- | ||
Paradigma: Toolbox for Digital Biomarkers in Parkinson's | ||
Disease | ||
message: >- | ||
If you use this software, please cite it using the | ||
metadata from this file. | ||
|
@@ -22,29 +23,60 @@ authors: | |
- given-names: Luc J.W. | ||
family-names: Evers | ||
email: [email protected] | ||
affiliation: | ||
- Radboud University, Institute for Computing and Information Sciences, Department of Data Science, Nijmegen, Netherlands | ||
- Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands | ||
affiliation: >- | ||
Radboud University, Nijmegen, Netherlands; Radboud | ||
University Medical Center, Nijmegen, Netherlands | ||
orcid: 'https://orcid.org/0000-0002-8241-5087' | ||
- given-names: Erik | ||
family-names: Post | ||
email: [email protected] | ||
affiliation: | ||
- Radboud University, Institute for Computing and Information Sciences, Department of Data Science, Nijmegen, Netherlands | ||
- Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands | ||
affiliation: >- | ||
Radboud University, Nijmegen, Netherlands; Radboud | ||
University Medical Center, Nijmegen, Netherlands | ||
orcid: 'https://orcid.org/0000-0002-1937-9976' | ||
- given-names: Kars | ||
family-names: Veldkamp | ||
email: [email protected] | ||
affiliation: Radboud University Medical Center, Nijmegen, Netherlands | ||
affiliation: >- | ||
Radboud University Medical Center, Nijmegen, | ||
Netherlands | ||
- given-names: Nienke | ||
family-names: Timmermans | ||
email: [email protected] | ||
affiliation: Radboud University Medical Center, Nijmegen, Netherlands | ||
affiliation: >- | ||
Radboud University Medical Center, Nijmegen, | ||
Netherlands | ||
- given-names: Diogo | ||
family-names: Soriano | ||
email: [email protected] | ||
affiliation: Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Brazil | ||
affiliation: >- | ||
Center for Engineering, Modeling and Applied Social | ||
Sciences (CECS), Federal University of ABC (UFABC), | ||
Brazil | ||
repository-code: 'https://github.com/biomarkersParkinson/paradigma' | ||
url: 'https://biomarkersparkinson.github.io/paradigma/' | ||
abstract: >- | ||
Paradigma: Digital Biomarkers for Parkinson's Disease | ||
Toolbox is a Python software package designed for | ||
processing wearable sensor data to identify digital | ||
biomarkers associated with Parkinson’s disease (PD). The | ||
toolbox facilitates the detection and analysis of sensor | ||
data, focusing on key gait and photoplethysmography (PPG) | ||
features that are critical for PD research. By leveraging | ||
the Time Series Data Format (TSDF), a unified and | ||
user-friendly format for handling both numerical data and | ||
metadata, Paradigma simplifies the process of working with | ||
raw binary sensor measurements alongside JSON-based | ||
metadata. The toolbox enables researchers to efficiently | ||
extract PD biomarkers, aiding in early diagnosis and | ||
monitoring. Future updates will introduce tremor detection | ||
and expanded feature extraction capabilities, further | ||
enhancing its utility for PD research and clinical | ||
applications. | ||
keywords: | ||
- parkinson's disease | ||
- digital biomarkers | ||
- gait analysis | ||
- ppg signal | ||
- imu data | ||
license: Apache-2.0 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,6 +1,6 @@ | ||
[tool.poetry] | ||
name = "paradigma" | ||
version = "0.3.1" | ||
version = "0.3.2" | ||
description = "Paradigma - a toolbox for Digital Biomarkers for Parkinson's Disease" | ||
authors = [ "Peter Kok <[email protected]>", | ||
"Vedran Kasalica <[email protected]>", | ||
|