Literature DB >> 15252264

Accuracy of objective ambulatory accelerometry in detecting motor complications in patients with Parkinson disease.

J I Hoff1, V van der Meer, J J van Hilten.   

Abstract

Shortcomings of existing assessment methods in Parkinson disease (PD) have led to the development of continuous ambulatory multichannel accelerometry for the assessment of the core features of PD. Although measures for hypokinesia, bradykinesia, and tremor have been validated in groups of patients with PD, it is unclear whether this method is able to detect "on" with or without dyskinesias, and "off" in individual PD patients. This study therefore addressed the accuracy of objective ambulatory accelerometry in detecting motor complications in 15 PD patients, using a self-assessment scale as gold standard. Measures for hypokinesia, bradykinesia, and tremor showed limited sensitivity (0.60-0.71) and specificity (0.66-0.76) for motor complications in individual PD patients. In the group of PD patients, comparing the "on" with the "off" state yielded statistically significant differences for tremor only. Objective dyskinesia measures correlated with time spent with dyskinesias (r = 0.89). Although validated for the measurement of hypokinesia, bradykinesia, and tremor, continuous ambulatory multichannel accelerometry currently cannot detect "on" and "off" in individual PD patients.

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Year:  2004        PMID: 15252264     DOI: 10.1097/00002826-200403000-00002

Source DB:  PubMed          Journal:  Clin Neuropharmacol        ISSN: 0362-5664            Impact factor:   1.592


  17 in total

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8.  Deficits in scaling of gait force and cycle in parkinsonian gait identified by long-term monitoring of acceleration with the portable gait rhythmogram.

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9.  A Kinematic Sensor and Algorithm to Detect Motor Fluctuations in Parkinson Disease: Validation Study Under Real Conditions of Use.

Authors:  Alejandro Rodríguez-Molinero; Carlos Pérez-López; Albert Samà; Eva de Mingo; Daniel Rodríguez-Martín; Jorge Hernández-Vara; Àngels Bayés; Alfons Moral; Ramiro Álvarez; David A Pérez-Martínez; Andreu Català
Journal:  JMIR Rehabil Assist Technol       Date:  2018-04-25

Review 10.  Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.

Authors:  Ritesh A Ramdhani; Anahita Khojandi; Oleg Shylo; Brian H Kopell
Journal:  Front Comput Neurosci       Date:  2018-09-11       Impact factor: 2.380

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