Cargando…

Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Dyskinesia and motor fluctuations are complications of PD medications. An objective measure of on/off time with/without dyskinesia has been sought for some time because it would facilitate the tit...

Descripción completa

Detalles Bibliográficos
Autores principales: Vergara-Diaz, Gloria, Daneault, Jean-Francois, Parisi, Federico, Admati, Chen, Alfonso, Christina, Bertoli, Matilde, Bonizzoni, Edoardo, Carvalho, Gabriela Ferreira, Costante, Gianluca, Fabara, Eric Eduardo, Fixler, Naama, Golabchi, Fatemah Noushin, Growdon, John, Sapienza, Stefano, Snyder, Phil, Shpigelman, Shahar, Sudarsky, Lewis, Daeschler, Margaret, Bataille, Lauren, Sieberts, Solveig K., Omberg, Larsson, Moore, Steven, Bonato, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864964/
https://www.ncbi.nlm.nih.gov/pubmed/33547317
http://dx.doi.org/10.1038/s41597-021-00831-z
_version_ 1783647751295205376
author Vergara-Diaz, Gloria
Daneault, Jean-Francois
Parisi, Federico
Admati, Chen
Alfonso, Christina
Bertoli, Matilde
Bonizzoni, Edoardo
Carvalho, Gabriela Ferreira
Costante, Gianluca
Fabara, Eric Eduardo
Fixler, Naama
Golabchi, Fatemah Noushin
Growdon, John
Sapienza, Stefano
Snyder, Phil
Shpigelman, Shahar
Sudarsky, Lewis
Daeschler, Margaret
Bataille, Lauren
Sieberts, Solveig K.
Omberg, Larsson
Moore, Steven
Bonato, Paolo
author_facet Vergara-Diaz, Gloria
Daneault, Jean-Francois
Parisi, Federico
Admati, Chen
Alfonso, Christina
Bertoli, Matilde
Bonizzoni, Edoardo
Carvalho, Gabriela Ferreira
Costante, Gianluca
Fabara, Eric Eduardo
Fixler, Naama
Golabchi, Fatemah Noushin
Growdon, John
Sapienza, Stefano
Snyder, Phil
Shpigelman, Shahar
Sudarsky, Lewis
Daeschler, Margaret
Bataille, Lauren
Sieberts, Solveig K.
Omberg, Larsson
Moore, Steven
Bonato, Paolo
author_sort Vergara-Diaz, Gloria
collection PubMed
description Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Dyskinesia and motor fluctuations are complications of PD medications. An objective measure of on/off time with/without dyskinesia has been sought for some time because it would facilitate the titration of medications. The objective of the dataset herein presented is to assess if wearable sensor data can be used to generate accurate estimates of limb-specific symptom severity. Nineteen subjects with PD experiencing motor fluctuations were asked to wear a total of five wearable sensors on both forearms and shanks, as well as on the lower back. Accelerometer data was collected for four days, including two laboratory visits lasting 3 to 4 hours each while the remainder of the time was spent at home and in the community. During the laboratory visits, subjects performed a battery of motor tasks while clinicians rated limb-specific symptom severity. At home, subjects were instructed to use a smartphone app that guided the periodic performance of a set of motor tasks.
format Online
Article
Text
id pubmed-7864964
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-78649642021-02-16 Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease Vergara-Diaz, Gloria Daneault, Jean-Francois Parisi, Federico Admati, Chen Alfonso, Christina Bertoli, Matilde Bonizzoni, Edoardo Carvalho, Gabriela Ferreira Costante, Gianluca Fabara, Eric Eduardo Fixler, Naama Golabchi, Fatemah Noushin Growdon, John Sapienza, Stefano Snyder, Phil Shpigelman, Shahar Sudarsky, Lewis Daeschler, Margaret Bataille, Lauren Sieberts, Solveig K. Omberg, Larsson Moore, Steven Bonato, Paolo Sci Data Data Descriptor Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Dyskinesia and motor fluctuations are complications of PD medications. An objective measure of on/off time with/without dyskinesia has been sought for some time because it would facilitate the titration of medications. The objective of the dataset herein presented is to assess if wearable sensor data can be used to generate accurate estimates of limb-specific symptom severity. Nineteen subjects with PD experiencing motor fluctuations were asked to wear a total of five wearable sensors on both forearms and shanks, as well as on the lower back. Accelerometer data was collected for four days, including two laboratory visits lasting 3 to 4 hours each while the remainder of the time was spent at home and in the community. During the laboratory visits, subjects performed a battery of motor tasks while clinicians rated limb-specific symptom severity. At home, subjects were instructed to use a smartphone app that guided the periodic performance of a set of motor tasks. Nature Publishing Group UK 2021-02-05 /pmc/articles/PMC7864964/ /pubmed/33547317 http://dx.doi.org/10.1038/s41597-021-00831-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Vergara-Diaz, Gloria
Daneault, Jean-Francois
Parisi, Federico
Admati, Chen
Alfonso, Christina
Bertoli, Matilde
Bonizzoni, Edoardo
Carvalho, Gabriela Ferreira
Costante, Gianluca
Fabara, Eric Eduardo
Fixler, Naama
Golabchi, Fatemah Noushin
Growdon, John
Sapienza, Stefano
Snyder, Phil
Shpigelman, Shahar
Sudarsky, Lewis
Daeschler, Margaret
Bataille, Lauren
Sieberts, Solveig K.
Omberg, Larsson
Moore, Steven
Bonato, Paolo
Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
title Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
title_full Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
title_fullStr Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
title_full_unstemmed Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
title_short Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
title_sort limb and trunk accelerometer data collected with wearable sensors from subjects with parkinson’s disease
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864964/
https://www.ncbi.nlm.nih.gov/pubmed/33547317
http://dx.doi.org/10.1038/s41597-021-00831-z
work_keys_str_mv AT vergaradiazgloria limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT daneaultjeanfrancois limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT parisifederico limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT admatichen limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT alfonsochristina limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT bertolimatilde limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT bonizzoniedoardo limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT carvalhogabrielaferreira limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT costantegianluca limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT fabaraericeduardo limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT fixlernaama limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT golabchifatemahnoushin limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT growdonjohn limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT sapienzastefano limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT snyderphil limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT shpigelmanshahar limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT sudarskylewis limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT daeschlermargaret limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT bataillelauren limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT siebertssolveigk limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT omberglarsson limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT mooresteven limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease
AT bonatopaolo limbandtrunkaccelerometerdatacollectedwithwearablesensorsfromsubjectswithparkinsonsdisease