Literature DB >> 19740563

A home environment test battery for status assessment in patients with advanced Parkinson's disease.

Jerker Westin1, Mark Dougherty, Dag Nyholm, Torgny Groth.   

Abstract

A test battery for assessing patient state in advanced Parkinson's disease, consisting of self-assessments and motor tests, was constructed and implemented on a hand computer with touch screen in a telemedicine setting. The aim of this work was to construct an assessment device, applicable during motor fluctuations in the patient's home environment. Selection of self-assessment questions was based on questions from an e-diary, previously used in a clinical trial. Both un-cued and cued tapping tests and spiral drawing tests were designed for capturing upper limb stiffnes, slowness and involuntary movements. The patient interface gave an audible signal at scheduled response times and was locked otherwise. Data messages in an XML-format were sent from the hand unit to a central server for storage, processing and presentation. In tapping tests, speed and accuracy were calculated and in spiral tests, standard deviation of frequency filtered radial drawing velocity was calculated. An overall test score, combining repeated assessments of the different test items during a test period, was defined based on principal component analysis and linear regression. An evaluation with two pilot patients before and after receiving new types of treatments was performed. Compliance and usability was assessed in a clinical trial (65 patients with advanced Parkinson's disease) and correlations between different test items and internal consistency were investigated. The test battery could detect treatment effect in the two pilot patients, both in self-assessments, tapping tests' results and spiral scores. It had good patient compliance and acceptable usability according to nine nurses. Correlation analysis showed that tapping results provided different information as compared to diary responses. Internal consistency of the test battery was good and learning effects in the tapping tests were small. 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19740563     DOI: 10.1016/j.cmpb.2009.08.001

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

1.  Validation of a home environment test battery for supporting assessments in advanced Parkinson's disease.

Authors:  Jerker Westin; Mauro Schiavella; Mevludin Memedi; Dag Nyholm; Mark Dougherty; Angelo Antonini
Journal:  Neurol Sci       Date:  2011-11-09       Impact factor: 3.307

2.  Trsper: a web-based application for Archimedes spiral analysis.

Authors:  Rogan Magee; Benjamin Yang; Jeff Ratliff
Journal:  Mhealth       Date:  2022-01-20

Review 3.  Levodopa-Carbidopa Intestinal Gel in Patients with Parkinson's Disease: A Systematic Review.

Authors:  Karin Wirdefeldt; Per Odin; Dag Nyholm
Journal:  CNS Drugs       Date:  2016-05       Impact factor: 5.749

4.  Automatic and objective assessment of alternating tapping performance in Parkinson's disease.

Authors:  Mevludin Memedi; Taha Khan; Peter Grenholm; Dag Nyholm; Jerker Westin
Journal:  Sensors (Basel)       Date:  2013-12-09       Impact factor: 3.576

5.  Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson's disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014).

Authors:  Rashmi Lakshminarayana; Duolao Wang; David Burn; K Ray Chaudhuri; Gemma Cummins; Clare Galtrey; Bruce Hellman; Suvankar Pal; Jon Stamford; Malcolm Steiger; Adrian Williams
Journal:  Trials       Date:  2014-09-25       Impact factor: 2.279

6.  Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease.

Authors:  Mevludin Memedi; Aleksander Sadikov; Vida Groznik; Jure Žabkar; Martin Možina; Filip Bergquist; Anders Johansson; Dietrich Haubenberger; Dag Nyholm
Journal:  Sensors (Basel)       Date:  2015-09-17       Impact factor: 3.576

7.  Precision Medicine in Parkinson's Disease - Exploring Patient-Initiated Self-Tracking.

Authors:  Sara Riggare; Maria Hägglund
Journal:  J Parkinsons Dis       Date:  2018       Impact factor: 5.568

Review 8.  Practice effects in performance outcome measures in patients living with neurologic disorders - A systematic review.

Authors:  Sven P Holm; Arnaud M Wolfer; Grégoire H S Pointeau; Florian Lipsmeier; Michael Lindemann
Journal:  Heliyon       Date:  2022-08-17
  8 in total

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