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A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data

Bradykinesia is a cardinal hallmark of Parkinson’s disease (PD). Improvement in bradykinesia is an important signature of effective treatment. Finger tapping is commonly used to index bradykinesia, albeit these approaches largely rely on subjective clinical evaluations. Moreover, recently developed...

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Autores principales: Habets, Jeroen G. V., Spooner, Rachel K., Mathiopoulou, Varvara, Feldmann, Lucia K., Busch, Johannes L., Roediger, Jan, Bahners, Bahne H., Schnitzler, Alfons, Florin, Esther, Kühn, Andrea A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256040/
https://www.ncbi.nlm.nih.gov/pubmed/37299968
http://dx.doi.org/10.3390/s23115238
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author Habets, Jeroen G. V.
Spooner, Rachel K.
Mathiopoulou, Varvara
Feldmann, Lucia K.
Busch, Johannes L.
Roediger, Jan
Bahners, Bahne H.
Schnitzler, Alfons
Florin, Esther
Kühn, Andrea A.
author_facet Habets, Jeroen G. V.
Spooner, Rachel K.
Mathiopoulou, Varvara
Feldmann, Lucia K.
Busch, Johannes L.
Roediger, Jan
Bahners, Bahne H.
Schnitzler, Alfons
Florin, Esther
Kühn, Andrea A.
author_sort Habets, Jeroen G. V.
collection PubMed
description Bradykinesia is a cardinal hallmark of Parkinson’s disease (PD). Improvement in bradykinesia is an important signature of effective treatment. Finger tapping is commonly used to index bradykinesia, albeit these approaches largely rely on subjective clinical evaluations. Moreover, recently developed automated bradykinesia scoring tools are proprietary and are not suitable for capturing intraday symptom fluctuation. We assessed finger tapping (i.e., Unified Parkinson’s Disease Rating Scale (UPDRS) item 3.4) in 37 people with Parkinson’s disease (PwP) during routine treatment follow ups and analyzed their 350 sessions of 10-s tapping using index finger accelerometry. Herein, we developed and validated ReTap, an open-source tool for the automated prediction of finger tapping scores. ReTap successfully detected tapping blocks in over 94% of cases and extracted clinically relevant kinematic features per tap. Importantly, based on the kinematic features, ReTap predicted expert-rated UPDRS scores significantly better than chance in a hold out validation sample (n = 102). Moreover, ReTap-predicted UPDRS scores correlated positively with expert ratings in over 70% of the individual subjects in the holdout dataset. ReTap has the potential to provide accessible and reliable finger tapping scores, either in the clinic or at home, and may contribute to open-source and detailed analyses of bradykinesia.
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spelling pubmed-102560402023-06-10 A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data Habets, Jeroen G. V. Spooner, Rachel K. Mathiopoulou, Varvara Feldmann, Lucia K. Busch, Johannes L. Roediger, Jan Bahners, Bahne H. Schnitzler, Alfons Florin, Esther Kühn, Andrea A. Sensors (Basel) Article Bradykinesia is a cardinal hallmark of Parkinson’s disease (PD). Improvement in bradykinesia is an important signature of effective treatment. Finger tapping is commonly used to index bradykinesia, albeit these approaches largely rely on subjective clinical evaluations. Moreover, recently developed automated bradykinesia scoring tools are proprietary and are not suitable for capturing intraday symptom fluctuation. We assessed finger tapping (i.e., Unified Parkinson’s Disease Rating Scale (UPDRS) item 3.4) in 37 people with Parkinson’s disease (PwP) during routine treatment follow ups and analyzed their 350 sessions of 10-s tapping using index finger accelerometry. Herein, we developed and validated ReTap, an open-source tool for the automated prediction of finger tapping scores. ReTap successfully detected tapping blocks in over 94% of cases and extracted clinically relevant kinematic features per tap. Importantly, based on the kinematic features, ReTap predicted expert-rated UPDRS scores significantly better than chance in a hold out validation sample (n = 102). Moreover, ReTap-predicted UPDRS scores correlated positively with expert ratings in over 70% of the individual subjects in the holdout dataset. ReTap has the potential to provide accessible and reliable finger tapping scores, either in the clinic or at home, and may contribute to open-source and detailed analyses of bradykinesia. MDPI 2023-05-31 /pmc/articles/PMC10256040/ /pubmed/37299968 http://dx.doi.org/10.3390/s23115238 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Habets, Jeroen G. V.
Spooner, Rachel K.
Mathiopoulou, Varvara
Feldmann, Lucia K.
Busch, Johannes L.
Roediger, Jan
Bahners, Bahne H.
Schnitzler, Alfons
Florin, Esther
Kühn, Andrea A.
A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
title A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
title_full A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
title_fullStr A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
title_full_unstemmed A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
title_short A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
title_sort first methodological development and validation of retap: an open-source updrs finger tapping assessment tool based on accelerometer-data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256040/
https://www.ncbi.nlm.nih.gov/pubmed/37299968
http://dx.doi.org/10.3390/s23115238
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