ParkNosis: Diagnosing Parkinson's disease using mobile phones (original) (raw)
Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study
Kevin Biglan
Parkinsonism & related disorders, 2015
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Feasibility of a Mobile-Based System for Unsupervised Monitoring in Parkinson’s Disease
Ana Clemente
Sensors, 2021
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The mPower study, Parkinson disease mobile data collected using ResearchKit
Abhishek Pratap
Scientific Data, 2016
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A web application for follow-up of results from a mobile device test battery for Parkinson's disease patients
Mark Dougherty
Computer Methods and Programs in Biomedicine, 2011
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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score
Kelsey Spear
JAMA neurology, 2018
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Using a Mobile Phone to monitor the progression of Parkinson's with Non-invasive tests
Shreyas Rana
Using a Mobile Phone to monitor the progression of Parkinson's with Non-invasive tests, 2022
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Finger Tapping Measures for Parkinson’s Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia
Mehika Manocha
Studies in Health Technology and Informatics
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Evaluation of smartphone-based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
Andreas U Monsch
Movement disorders : official journal of the Movement Disorder Society, 2018
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HIGH ACCURACY DISCRIMINATION OF PARKINSON'S DESEASE PARTICIPANTS FROM HEALTHY CONTROLS USING SMARTPHONES
Siddharth Arora
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Personalized Drug Administration to Patients with Parkinsons Disease: Manipulating Sensor Generated Data in Android Environments
Klemen Bravhar
Proceedings of the 50th Hawaii International Conference on System Sciences (2017), 2017
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Personalizing Drug Administration to Patients with Parkinson's Disease: Manipulating Sensor Generated Data in Android Environments
Radmila Juric
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Quantitative home-based assessment of Parkinson's symptoms: The SENSE-PARK feasibility and usability study
Catarina Godinho
BMC neurology, 2015
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A smartphone-based system to quantify dexterity in Parkinson's disease patients
Dag Nyholm
Informatics in Medicine Unlocked
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High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones
Sean Donohue
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
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SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch
Thanh Ton
Lecture Notes in Computer Science, 2014
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A Multicenter Study Using a Smartwatch, Smartphone, and Wearable Sensors to Assess Early Parkinson’s Disease: Baseline Results of the WATCH-PD Study
stella roberts
Research Square (Research Square), 2022
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Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones
John Prince
IEEE Transactions on Biomedical Engineering, 2020
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Use of a Smartphone to Gather Parkinson’s Disease Neurological Vital Signs during the COVID-19 Pandemic
Jay Alberts
Parkinson's Disease, 2021
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The cloudUPDRS app: A medical device for the clinical assessment of Parkinson’s Disease
Cosmin Stamate
Pervasive and Mobile Computing, 2018
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Towards unobtrusive Parkinson's disease detection via motor symptoms severity inference from multimodal smartphone-sensor data
Zoe Katsarou
2019
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Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait and hands movement
DANIEL ESCOBAR GRISALES
Neurodegenerative Disease Management, 2020
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Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes
siddharth arora
Physiological measurement, 2018
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Commentary: Quantitative home-based assessment of Parkinson's symptoms: The SENSE-PARK feasibility and usability study
Catarina Godinho
Journal of Neurology and Neuromedicine, 2016
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Feasibility and patient acceptability of a commercially available wearable and a smart phone application in identification of motor states in parkinson’s disease
Tapani Keränen
PLOS digital health, 2023
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A Web-Based System for Home Monitoring of Patients With Parkinson's Disease Using Wearable Sensors
Ramona Rednic
IEEE Transactions on Biomedical Engineering, 2011
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Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study
Jeanne Feuerstein
npj Parkinson's Disease
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Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease
Silvia Del Din
Frontiers in Neurology
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Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol
Myrthe Wassenburg
BMJ Open, 2023
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Telehealth Management of Parkinson’s Disease Using Wearable Sensors: An Exploratory Study
Dustin Heldman
Digital Biomarkers
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A Smartphone Application for Parkinson Tremor Detection
Alejandro Marzinotto
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Mobile Systems as a Challenge for Neurological Diseases Management – The Case of Parkinson's Disease
Matteo Pastorino
Diagnostics and Rehabilitation of Parkinson's Disease, 2011
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Mobile Health Daily Life Monitoring for Parkinson Disease: Development and Validation of Ecological Momentary Assessments (Preprint)
Claudia Simons
2019
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mhealth for remote monitoring and management of Parkinson’s disease: determinants of compliance and validation of a tremor evaluation method (Preprint)
Dimitris Gatsios
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