Roberto López-Blanco1, Miguel A Velasco2, Antonio Méndez-Guerrero3, Juan Pablo Romero4, María Dolores Del Castillo2, J Ignacio Serrano2, Julián Benito-León5, Félix Bermejo-Pareja6, Eduardo Rocon2. 1. 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. 2. Centro de Automática y Robótica (CAR), CSIC-UPM, Madrid, Spain. 3. Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain. 4. Faculty of Biosanitary Sciences, Francisco de Vitoria University, Pozuelo de Alarcón, Madrid, Spain; Brain Damage Service, Hospital Beata Maria Ana, Madrid, Spain. 5. 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, Universidad Complutense Madrid (UCM), Spain. 6. Medicine Department, Faculty of Medicine, Universidad Complutense Madrid (UCM), Spain; Clinical Research Unit, University Hospital, "12 de Octubre", Madrid, Spain.
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.
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.
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