Neto_PacBio_2016
syn22017692
Created By
Meghasyam Tummalacherla meghasyam
doi: 10.1142/9789814749411_0026
url: https://doi.org/10.1142/9789814749411_0026
ISBN: 978-981-4749-40-4
PMID: 26776193
Year: 2016
Study: mPower Mobile Parkinson Disease Study
Title: Personalized Hypothesis Tests For Detecting Medication Response In Parkinson Disease Patients Using iPhone Sensor Data
synID: syn4993293
Author: Neto EC Bot BM Perumal TM Omberg L Guinney J Kellen M Klien A Friend SH Trister AD
Journal: The Pacific Symposium on Biocomputing (PSB) 2016
Abstract: syn22017692
Featured: TRUE
Diagnosis: Parkinson's disease control
Consortium: mHealth
sensorType: accelerometer gyroscope magnetometer touchscreen microphone
studyOrProject: [mPower Mobile Parkinson Disease Study](/Explore/Studies/DetailsPage?study=mPower%20Mobile%20Parkinson%20Disease%20Study)
publicationType: study
digitalAssessmentCategory: resting tremor kinetic tremor postural tremor action tremor gait voice
Drop files to upload
Your web browser must have JavaScript enabled in order for this application to display correctly.
If you are an automated web crawler from a search engine, follow this
AJAX application crawl link
Neto_PacBio_2016
page is loading…