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Merge pull request #51 from biomarkersParkinson/fix-cff
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Fix the cff file
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kretep authored Sep 18, 2024
2 parents 6359d71 + f1d8671 commit 63d40f2
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54 changes: 43 additions & 11 deletions CITATION.cff
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# 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.
Expand All @@ -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
2 changes: 1 addition & 1 deletion pyproject.toml
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[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]>",
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