Smartwatch for the analysis of rest tremor in patients with Parkinson's disease

Wearable technology used in Parkinson's disease (PD) research has become an increasing focus of interest in this field. Our group assessed the feasibility, clinical correlation, reliability, and acceptance of smartwatches in order to quantify arm resting tremors in PD patients. An Android appli...

ver descrição completa

Detalhes bibliográficos
Autores: López-Blanco, Roberto, Velasco, Miguel Ángel, Méndez-Guerrero, Antonio, Romero, Juan Pablo, Castillo-Sobrino, M. Dolores del, Serrano, José Ignacio, Rocón, Eduardo, Benito-León, Julián
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2019
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/217178
Acesso em linha:http://hdl.handle.net/10261/217178
Access Level:Acceso aberto
Palavra-chave:Parkinson's disease
Tremor transductor
Tremor quantification
Smartphone
id ES_5fdb79c3c7a275ec3f298e81f1eb3c8d
oai_identifier_str oai:digital.csic.es:10261/217178
network_acronym_str ES
network_name_str España
repository_id_str
spelling Smartwatch for the analysis of rest tremor in patients with Parkinson's diseaseLópez-Blanco, RobertoVelasco, Miguel ÁngelMéndez-Guerrero, AntonioRomero, Juan PabloCastillo-Sobrino, M. Dolores delSerrano, José IgnacioRocón, EduardoBenito-León, JuliánParkinson's diseaseTremor transductorTremor quantificationSmartphoneWearable technology used in Parkinson's disease (PD) research has become an increasing focus of interest in this field. Our group assessed the feasibility, clinical correlation, reliability, and acceptance of smartwatches in order to quantify arm resting tremors in PD patients. An Android application on a smartwatch was used to obtain raw data from the smartwatch's gyroscopes. Twenty-two PD patients were consecutively recruited and followed for 1 year. Arm rest tremors were video filmed and scored by two independent raters using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). The tremor intensity parameter was defined by the root mean square of the angular speed measured by the smartwatch at the wrist. Sixty-four smartwatch evaluations were completed. The Spearman coefficient among the mean of the resting tremor (UPDRS-III) scores and smartwatch measurements for tremor intensity was 0.81 (p < .001); smartwatch reliability to quantify tremors was checked by intraclass reliability coefficient with a resting tremor = 0.89, minimum detectable change = 59.03%. Good acceptance of the system was shown. Smartwatch use for PD tremor analysis is possible, reliable, well-correlated with clinical scores, and well-accepted by patients for clinical follow-up. The results from these experiments suggest that this commodity hardware has the potential to quantify PD patients' tremors objectively in a consulting-room.This work was supported by the Ministerio de Economía y Competitividad, Gobierno de España [RTC-2015-3967-1, “NetMD - Plataforma para el seguimiento de Trastornos del Movimiento”].Peer reviewedElsevier BVMinisterio de Economía y Competitividad (España)López-Blanco, Roberto [0000-0003-2673-841X]Méndez-Guerrero, Antonio [0000-0001-5792-9361]Castillo, M. Dolores del [0000-0002-9366-4484]Serrano, J. Ignacio [0000-0002-9333-1305]Rocon, Eduardo [0000-0001-9618-2176]Benito-León, Julián [0000-0002-1769-4809]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/217178reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2015-3967-1https://doi.org/10.1016/j.jns.2019.04.011Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2171782026-05-22T06:33:51Z
dc.title.none.fl_str_mv Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
title Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
spellingShingle Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
López-Blanco, Roberto
Parkinson's disease
Tremor transductor
Tremor quantification
Smartphone
title_short Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
title_full Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
title_fullStr Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
title_full_unstemmed Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
title_sort Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
dc.creator.none.fl_str_mv López-Blanco, Roberto
Velasco, Miguel Ángel
Méndez-Guerrero, Antonio
Romero, Juan Pablo
Castillo-Sobrino, M. Dolores del
Serrano, José Ignacio
Rocón, Eduardo
Benito-León, Julián
author López-Blanco, Roberto
author_facet López-Blanco, Roberto
Velasco, Miguel Ángel
Méndez-Guerrero, Antonio
Romero, Juan Pablo
Castillo-Sobrino, M. Dolores del
Serrano, José Ignacio
Rocón, Eduardo
Benito-León, Julián
author_role author
author2 Velasco, Miguel Ángel
Méndez-Guerrero, Antonio
Romero, Juan Pablo
Castillo-Sobrino, M. Dolores del
Serrano, José Ignacio
Rocón, Eduardo
Benito-León, Julián
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
López-Blanco, Roberto [0000-0003-2673-841X]
Méndez-Guerrero, Antonio [0000-0001-5792-9361]
Castillo, M. Dolores del [0000-0002-9366-4484]
Serrano, J. Ignacio [0000-0002-9333-1305]
Rocon, Eduardo [0000-0001-9618-2176]
Benito-León, Julián [0000-0002-1769-4809]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Parkinson's disease
Tremor transductor
Tremor quantification
Smartphone
topic Parkinson's disease
Tremor transductor
Tremor quantification
Smartphone
description Wearable technology used in Parkinson's disease (PD) research has become an increasing focus of interest in this field. Our group assessed the feasibility, clinical correlation, reliability, and acceptance of smartwatches in order to quantify arm resting tremors in PD patients. An Android application on a smartwatch was used to obtain raw data from the smartwatch's gyroscopes. Twenty-two PD patients were consecutively recruited and followed for 1 year. Arm rest tremors were video filmed and scored by two independent raters using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). The tremor intensity parameter was defined by the root mean square of the angular speed measured by the smartwatch at the wrist. Sixty-four smartwatch evaluations were completed. The Spearman coefficient among the mean of the resting tremor (UPDRS-III) scores and smartwatch measurements for tremor intensity was 0.81 (p < .001); smartwatch reliability to quantify tremors was checked by intraclass reliability coefficient with a resting tremor = 0.89, minimum detectable change = 59.03%. Good acceptance of the system was shown. Smartwatch use for PD tremor analysis is possible, reliable, well-correlated with clinical scores, and well-accepted by patients for clinical follow-up. The results from these experiments suggest that this commodity hardware has the potential to quantify PD patients' tremors objectively in a consulting-room.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/217178
url http://hdl.handle.net/10261/217178
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2015-3967-1
https://doi.org/10.1016/j.jns.2019.04.011
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869409248651247616
score 15,811543

Registros relacionados