Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson’s disease
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Title
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson’s disease
Authors
Keywords
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Journal
Science Translational Medicine
Volume 13, Issue 579, Pages eabd7865
Publisher
American Association for the Advancement of Science (AAAS)
Online
2021-02-04
DOI
10.1126/scitranslmed.abd7865
References
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Note: Only part of the references are listed.- Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment
- (2020) Catherine Morgan et al. Journal of Parkinsons Disease
- Sensor-based algorithmic dosing suggestions for oral administration of levodopa/carbidopa microtablets for Parkinson’s disease: a first experience
- (2019) Ilias Thomas et al. JOURNAL OF NEUROLOGY
- Effect of using a wearable device on clinical decision-making and motor symptoms in patients with Parkinson's disease starting transdermal rotigotine patch: A pilot study
- (2019) Stuart H. Isaacson et al. PARKINSONISM & RELATED DISORDERS
- A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies
- (2019) Alberto J. Espay et al. MOVEMENT DISORDERS
- The Use of Data from the Parkinson’s KinetiGraph to Identify Potential Candidates for Device Assisted Therapies
- (2019) Hamid Khodakarami et al. SENSORS
- Gait analysis with wearables predicts conversion to parkinson disease
- (2019) Silvia Del Din et al. ANNALS OF NEUROLOGY
- Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements
- (2019) Murtadha D. Hssayeni et al. SENSORS
- A Power Spectral Density-Based Method to Detect Tremor and Tremor Intermittency in Movement Disorders
- (2019) Frauke Luft et al. SENSORS
- An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson’s Disease
- (2019) Giovanni Albani et al. SENSORS
- Evaluation of smartphone-based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
- (2018) Florian Lipsmeier et al. MOVEMENT DISORDERS
- Toward achieving precision health
- (2018) Sanjiv Sam Gambhir et al. Science Translational Medicine
- Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity
- (2018) Andong Zhan et al. JAMA Neurology
- Role of the Personal KinetiGraph in the routine clinical assessment of Parkinson’s disease: recommendations from an expert panel
- (2018) Rajesh Pahwa et al. Expert Review of Neurotherapeutics
- Acceptability to patients, carers and clinicians of an mHealth platform for the management of Parkinson’s disease (PD_Manager): study protocol for a pilot randomised controlled trial
- (2018) Angelo Antonini et al. Trials
- Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling
- (2018) Ritesh A. Ramdhani et al. Frontiers in Computational Neuroscience
- Clinical feasibility of a wearable, conformable sensor patch to monitor motor symptoms in Parkinson's disease
- (2018) Babak Boroojerdi et al. PARKINSONISM & RELATED DISORDERS
- Qualitative Evaluation of the Personal KinetiGraphTM Movement Recording System in a Parkinson’s Clinic
- (2018) Anthony Santiago et al. Journal of Parkinsons Disease
- Monitoring Motor Symptoms During Activities of Daily Living in Individuals With Parkinson's Disease
- (2018) Jenna E. Thorp et al. Frontiers in Neurology
- Aplicaciones móviles en la enfermedad de Parkinson: una revisión sistemática
- (2017) M. Linares-del Rey et al. NEUROLOGIA
- Teaching Video Neuro Images : The underrecognized diphasic dyskinesia of Parkinson disease
- (2017) Leo Verhagen Metman et al. NEUROLOGY
- Racial disparities in neurologic health care access and utilization in the United States
- (2017) Altaf Saadi et al. NEUROLOGY
- Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease
- (2017) Ana Lígia Silva de Lima et al. PLoS One
- Health at hand: A systematic review of smart watch uses for health and wellness
- (2016) Blaine Reeder et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Step Counting: A Review of Measurement Considerations and Health-Related Applications
- (2016) David R. Bassett et al. SPORTS MEDICINE
- An Ambulatory Tremor Score for Parkinson’s Disease
- (2016) Michelle Braybrook et al. Journal of Parkinsons Disease
- Tremor Frequency Assessment by iPhone® Applications: Correlation with EMG Analysis
- (2016) Rui Araújo et al. Journal of Parkinsons Disease
- The Rise of Consumer Health Wearables: Promises and Barriers
- (2016) Lukasz Piwek et al. PLOS MEDICINE
- The mPower study, Parkinson disease mobile data collected using ResearchKit
- (2016) Brian M. Bot et al. Scientific Data
- Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change
- (2015) Mitesh S. Patel et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study
- (2015) S. Arora et al. PARKINSONISM & RELATED DISORDERS
- The emerging field of mobile health
- (2015) Steven R. Steinhubl et al. Science Translational Medicine
- Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
- (2015) Houde Dai et al. SENSORS
- Wearables
- (2015) Reza Rawassizadeh et al. COMMUNICATIONS OF THE ACM
- Dynamical Learning and Tracking of Tremor and Dyskinesia From Wearable Sensors
- (2014) Bryan T. Cole et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Dyskinesias and motor symptoms onset in Parkinson disease
- (2014) Anna Latorre et al. PARKINSONISM & RELATED DISORDERS
- Feasibility Study of a Wearable System Based on a Wireless Body Area Network for Gait Assessment in Parkinson’s Disease Patients
- (2014) Jorge Cancela et al. SENSORS
- Poor self-awareness of levodopa-induced dyskinesias in Parkinson's disease: Clinical features and mechanisms
- (2013) Sara Pietracupa et al. PARKINSONISM & RELATED DISORDERS
- Systematic review on factors associated with medication non-adherence in Parkinson's disease
- (2012) David James Daley et al. PARKINSONISM & RELATED DISORDERS
- Potential reliability and validity of a modified version of the Unified Parkinson's Disease Rating Scale that could be administered remotely
- (2012) Amir Abdolahi et al. PARKINSONISM & RELATED DISORDERS
- Patient Diaries As a Clinical Endpoint in Parkinson's Disease Clinical Trials
- (2011) Spyridon Spyros Papapetropoulos CNS Neuroscience & Therapeutics
- Optimizing levodopa therapy for Parkinson’s disease with levodopa/carbidopa/entacapone: implications from a clinical and patient perspective
- (2011) David Brooks Neuropsychiatric Disease and Treatment
- Racial and Socioeconomic Disparities in Parkinsonism
- (2010) J. Patrick Hemming et al. ARCHIVES OF NEUROLOGY
- Living with advanced Parkinson’s disease: a constant struggle with unpredictability
- (2010) Anita Haahr et al. JOURNAL OF ADVANCED NURSING
- Transforming Medicine via Digital Innovation
- (2010) E. J. Topol Science Translational Medicine
- Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors
- (2009) S. Patel et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) : une nouvelle échelle pour l’évaluation de la maladie de Parkinson
- (2009) C.G. Goetz REVUE NEUROLOGIQUE
- Quality of life in Parkinson's disease: The relative importance of the symptoms
- (2008) Shibley Rahman et al. MOVEMENT DISORDERS
- Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results
- (2008) Christopher G. Goetz et al. MOVEMENT DISORDERS
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