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Essential tremor quantification based on the combined use of a smartphone and a smartwatch: The NetMD study.
López-Blanco, Roberto; Velasco, Miguel A; Méndez-Guerrero, Antonio; Romero, Juan Pablo; Del Castillo, María Dolores; Serrano, J Ignacio; Benito-León, Julián; Bermejo-Pareja, Félix; Rocon, Eduardo.
Affiliation
  • López-Blanco R; Healthcare Research Institute (i+12), Hospital Universitario 12 de Octubre, Madrid, Spain; Neurology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares Madrid, Spain. Electronic address: robretolb@gmail.com.
  • Velasco MA; Centro de Automática y Robótica (CAR), CSIC-UPM, Madrid, Spain.
  • Méndez-Guerrero A; Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Romero JP; Faculty of Biosanitary Sciences, Francisco de Vitoria University, Pozuelo de Alarcón, Madrid, Spain; Brain Damage Service, Hospital Beata Maria Ana, Madrid, Spain.
  • Del Castillo MD; Centro de Automática y Robótica (CAR), CSIC-UPM, Madrid, Spain.
  • Serrano JI; Centro de Automática y Robótica (CAR), CSIC-UPM, Madrid, Spain.
  • Benito-León J; Healthcare Research Institute (i+12), Hospital Universitario 12 de Octubre, Madrid, Spain; Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain; Center of Biomedical Network Research on Neurodegenerative Dseases (CIBERNED), Spain; Medicine Department, Faculty of Medicine, Univer
  • Bermejo-Pareja F; Medicine Department, Faculty of Medicine, Universidad Complutense Madrid (UCM), Spain; Clinical Research Unit, University Hospital, "12 de Octubre", Madrid, Spain.
  • Rocon E; Centro de Automática y Robótica (CAR), CSIC-UPM, Madrid, Spain.
J Neurosci Methods ; 303: 95-102, 2018 06 01.
Article in En | MEDLINE | ID: mdl-29481820
ABSTRACT

BACKGROUND:

The use of wearable technology is an emerging field of research in movement disorders. This paper introduces a clinical study to evaluate the feasibility, clinical correlation and reliability of using a system based in smartwatches to quantify tremor in essential tremor (ET) patients and check its acceptance as clinical monitoring tool. NEW

METHOD:

The system is based on a commercial smartwatch and an Android smartphone. An investigational Android application controls the process of recording raw data from the smartwatch three-dimensional gyroscopes. Thirty-four ET patients were consecutively enrolled in the experiments and assessed along one year. Arm tremor was videofilmed and scored using the Fahn-Tolosa-Marin Tremor Rating Scale (FTM-TRS). Tremor intensity was quantified with the root mean square of angular velocity measured in the patients' wrists.

RESULTS:

Eighty-two assessments with smartwatches were performed. Spearman's correlation coefficients (ρ) between clinical tremor (FTM-TRS) scores and smartwatch measures for tremor intensity were 0.590 at rest; ρ = 0.738 in steady posture; ρ = 0.189 in finger-to-nose maneuvers; and ρ = 0.652 in pouring water task. Smartwatch reliability was checked by intraclass realiability coefficients 0.85, 0.95, 0.91, 0.95 respectively. Most of patients showed good acceptance of the system. COMPARISON WITH EXISTING METHOD(S) This commodity hardware contributes to quantify tremor objectively in a consulting-room by customized Android smart devices as clinical monitoring tool.

CONCLUSIONS:

The NetMD system for tremor analysis is feasible, well-correlated with clinical scores, reliable and well-accepted by patients to tremor follow-up. Therefore, it could be an option to objectively quantify tremor in ET patients during their regular follow-up.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Essential Tremor / Mobile Applications / Smartphone / Wearable Electronic Devices Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Neurosci Methods Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Essential Tremor / Mobile Applications / Smartphone / Wearable Electronic Devices Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Neurosci Methods Year: 2018 Document type: Article