@article{dc21df70e389414ea839f48be747e896,
title = "Technology in Parkinson's disease: Challenges and opportunities",
abstract = "The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling the capture of more and previously inaccessible phenomena in Parkinson's disease (PD). However, more information has not translated into a greater understanding of disease complexity to satisfy diagnostic and therapeutic needs. Challenges include noncompatible technology platforms, the need for wide-scale and long-term deployment of sensor technology (among vulnerable elderly patients in particular), and the gap between the “big data” acquired with sensitive measurement technologies and their limited clinical application. Major opportunities could be realized if new technologies are developed as part of open-source and/or open-hardware platforms that enable multichannel data capture sensitive to the broad range of motor and nonmotor problems that characterize PD and are adaptable into self-adjusting, individualized treatment delivery systems. The International Parkinson and Movement Disorders Society Task Force on Technology is entrusted to convene engineers, clinicians, researchers, and patients to promote the development of integrated measurement and closed-loop therapeutic systems with high patient adherence that also serve to (1) encourage the adoption of clinico-pathophysiologic phenotyping and early detection of critical disease milestones, (2) enhance the tailoring of symptomatic therapy, (3) improve subgroup targeting of patients for future testing of disease-modifying treatments, and (4) identify objective biomarkers to improve the longitudinal tracking of impairments in clinical care and research. This article summarizes the work carried out by the task force toward identifying challenges and opportunities in the development of technologies with potential for improving the clinical management and the quality of life of individuals with PD.",
keywords = "Parkinson's disease, digital biomarkers, digital health, eHealth, precision medicine, remote monitoring, technology, wearable technology",
author = "{on behalf of the Movement Disorders Society Task Force on Technology} and Espay, {Alberto J.} and Paolo Bonato and Nahab, {Fatta B.} and Walter Maetzler and Dean, {John M.} and Jochen Klucken and Eskofier, {Bjoern M.} and Aristide Merola and Fay Horak and Lang, {Anthony E.} and Ralf Reilmann and Joe Giuffrida and Alice Nieuwboer and Malcolm Horne and Little, {Max A.} and Irene Litvan and Tanya Simuni and Dorsey, {E. Ray} and Burack, {Michelle A.} and Ken Kubota and Anita Kamondi and Catarina Godinho and Daneault, {Jean Francois} and Georgia Mitsi and Lothar Krinke and Hausdorff, {Jeffery M.} and Bloem, {Bastiaan R.} and Spyros Papapetropoulos",
note = "Publisher Copyright: {\textcopyright} 2016 International Parkinson and Movement Disorder Society",
year = "2016",
month = sep,
day = "1",
doi = "10.1002/mds.26642",
language = "אנגלית",
volume = "31",
pages = "1272--1282",
journal = "Movement Disorders",
issn = "0885-3185",
publisher = "John Wiley & Sons Inc.",
number = "9",
}