Literature DB >> 27273651

A clinical view on the development of technology-based tools in managing Parkinson's disease.

Walter Maetzler1,2, Jochen Klucken3, Malcolm Horne4,5.   

Abstract

Recently, quantitative, objective, and easy-to-use technology-based tools that can assess PD features over long time periods have been developed and generate clinically relevant and comparable patient information. Herein, we present a clinician's view on technological developments that have the potential to revolutionize clinical management concepts in PD. According to prominent examples in clinical medicine (e.g., blood glycosylated hemoglobin and blood pressure), we argue that the consideration of technology-based assessment in the clinical management of PD must be based on specific assumptions: (1) It provides a valid and accurate parameter of a clinically relevant feature of the disease; (2) there is confirmed evidence that the parameter has an ecologically relevant effect on the specific clinical application; (3) a target range can be defined wherein the parameter reflects the adequate treatment response; and (4) implementation is simple to allow repetitive use. Currently, there are no technology-based tools available that fulfil all these assumptions; however, assessments of akinesia, dyskinesia, motor fluctuations, physical inactivity, gait impairment, and postural instability seem relatively close to the specifications described. An iterative process of integration is recommended to bring technology-based tools into clinical practice.
© 2016 International Parkinson and Movement Disorder Society. © 2016 International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  Framework; objective assessment; treatment; wearable sensor

Mesh:

Year:  2016        PMID: 27273651     DOI: 10.1002/mds.26673

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  54 in total

1.  Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device.

Authors:  Nikhil Mahadevan; Charmaine Demanuele; Hao Zhang; Dmitri Volfson; Bryan Ho; Michael Kelley Erb; Shyamal Patel
Journal:  NPJ Digit Med       Date:  2020-01-15

2.  Gait initiation is impaired in subjects with Parkinson's disease in the OFF state: Evidence from the analysis of the anticipatory postural adjustments through wearable inertial sensors.

Authors:  Gianluca Bonora; Martina Mancini; Ilaria Carpinella; Lorenzo Chiari; Fay B Horak; Maurizio Ferrarin
Journal:  Gait Posture       Date:  2016-10-31       Impact factor: 2.840

3.  Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson's disease.

Authors:  Franz Marxreiter; Heiko Gaßner; Olga Borozdina; Jens Barth; Zacharias Kohl; Johannes C M Schlachetzki; Caroline Thun-Hohenstein; Dieter Volc; Bjoern M Eskofier; Jürgen Winkler; Jochen Klucken
Journal:  J Neurol       Date:  2018-09-08       Impact factor: 4.849

4.  Variations in Patterns of Muscle Activity Observed in Participants Walking in Everyday Environments: Effect of Different Surfaces.

Authors:  Julien Lebleu; Ross Parry; Camille Bertouille; Marine de Schaetzen; Philippe Mahaudens; Laura Wallard; Christine Detrembleur
Journal:  Physiother Can       Date:  2021       Impact factor: 1.039

Review 5.  The First Frontier: Digital Biomarkers for Neurodegenerative Disorders.

Authors:  E Ray Dorsey; Spyros Papapetropoulos; Mulin Xiong; Karl Kieburtz
Journal:  Digit Biomark       Date:  2017-07-04

6.  Supervised versus unsupervised technology-based levodopa monitoring in Parkinson's disease: an intrasubject comparison.

Authors:  Giovanna Lopane; Sabato Mellone; Mattia Corzani; Lorenzo Chiari; Pietro Cortelli; Giovanna Calandra-Buonaura; Manuela Contin
Journal:  J Neurol       Date:  2018-03-29       Impact factor: 4.849

7.  Technology readiness of medical students and the association of technology readiness with specialty interest.

Authors:  Wyatt MacNevin; Eric Poon; Thomas A Skinner
Journal:  Can Med Educ J       Date:  2021-04-30

8.  Tablet-Based Application for Objective Measurement of Motor Fluctuations in Parkinson Disease.

Authors:  Benjamin D Wissel; Georgia Mitsi; Alok K Dwivedi; Spyridon Papapetropoulos; Sydney Larkin; José Ricardo López Castellanos; Emily Shanks; Andrew P Duker; Federico Rodriguez-Porcel; Jennifer E Vaughan; Lilia Lovera; Ioannis Tsoulos; Athanassios Stavrakoudis; Alberto J Espay
Journal:  Digit Biomark       Date:  2018-01-09

9.  A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson's disease using an ambulatory monitor.

Authors:  Hamid Khodakarami; Navid Shokouhi; Malcolm Horne
Journal:  J Neuroeng Rehabil       Date:  2021-07-16       Impact factor: 4.262

10.  High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing.

Authors:  Warwick R Adams
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.