Literature DB >> 24689772

Technical and clinical view on ambulatory assessment in Parkinson's disease.

M A Hobert1, W Maetzler, K Aminian, L Chiari.   

Abstract

With the progress of technologies of recent years, methods have become available that use wearable sensors and ambulatory systems to measure aspects of--particular axial--motor function. As Parkinson's disease (PD) can be considered a model disorder for motor impairment, a significant number of studies have already been performed with these patients using such techniques. In general, motion sensors such as accelerometers and gyroscopes are used, in combination with lightweight electronics that do not interfere with normal human motion. A fundamental advantage in comparison with usual clinical assessment is that these sensors allow a more quantitative, objective, and reliable evaluation of symptoms; they have also significant advantages compared to in-lab technologies (e.g., optoelectronic motion capture) as they allow long-term monitoring under real-life conditions. In addition, based on recent findings particularly from studies using functional imaging, we learned that non-motor symptoms, specifically cognitive aspects, may be at least indirectly assessable. It is hypothesized that ambulatory quantitative assessment strategies will allow users, clinicians, and scientists in the future to gain more quantitative, unobtrusive, and everyday relevant data out of their clinical evaluation and can also be designed as pervasive (everywhere) and intensive (anytime) tools for ambulatory assessment and even rehabilitation of motor and (partly) non-motor symptoms in PD.
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Parkinson's disease; ambulatory systems; gait analysis; motor symptoms; motor-cognitive interaction; sway analysis; wearable sensors

Mesh:

Year:  2014        PMID: 24689772     DOI: 10.1111/ane.12248

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  19 in total

Review 1.  Potential of APDM mobility lab for the monitoring of the progression of Parkinson's disease.

Authors:  Martina Mancini; Fay B Horak
Journal:  Expert Rev Med Devices       Date:  2016-05       Impact factor: 3.166

2.  Role of body-worn movement monitor technology for balance and gait rehabilitation.

Authors:  Fay Horak; Laurie King; Martina Mancini
Journal:  Phys Ther       Date:  2014-12-11

3.  New evidence for gait abnormalities among Parkinson's disease patients who suffer from freezing of gait: insights using a body-fixed sensor worn for 3 days.

Authors:  Aner Weiss; Talia Herman; Nir Giladi; Jeffrey M Hausdorff
Journal:  J Neural Transm (Vienna)       Date:  2014-07-29       Impact factor: 3.575

4.  Gait variability in Parkinson's disease: levodopa and walking direction.

Authors:  M S Bryant; D H Rintala; J G Hou; R L Collins; E J Protas
Journal:  Acta Neurol Scand       Date:  2015-09-23       Impact factor: 3.209

Review 5.  [Assessment of mobility-Geriatric assessment instruments for mobility impairments and perspectives of instrumentation].

Authors:  Markus A Hobert; Michael Jamour
Journal:  Z Gerontol Geriatr       Date:  2022-02-18       Impact factor: 1.281

6.  Surrogates for rigidity and PIGD MDS-UPDRS subscores using wearable sensors.

Authors:  Delaram Safarpour; Marian L Dale; Vrutangkumar V Shah; Lauren Talman; Patricia Carlson-Kuhta; Fay B Horak; Martina Mancini
Journal:  Gait Posture       Date:  2021-10-26       Impact factor: 2.840

7.  Intraoperative Quantification of MDS-UPDRS Tremor Measurements Using 3D Accelerometry: A Pilot Study.

Authors:  Annemarie Smid; Jan Willem J Elting; J Marc C van Dijk; Bert Otten; D L Marinus Oterdoom; Katalin Tamasi; Tjitske Heida; Teus van Laar; Gea Drost
Journal:  J Clin Med       Date:  2022-04-19       Impact factor: 4.241

Review 8.  MEMS sensor technologies for human centred applications in healthcare, physical activities, safety and environmental sensing: a review on research activities in Italy.

Authors:  Gastone Ciuti; Leonardo Ricotti; Arianna Menciassi; Paolo Dario
Journal:  Sensors (Basel)       Date:  2015-03-17       Impact factor: 3.576

9.  The Parkinsonian Gait Spatiotemporal Parameters Quantified by a Single Inertial Sensor before and after Automated Mechanical Peripheral Stimulation Treatment.

Authors:  Ana Kleiner; Manuela Galli; Maria Gaglione; Daniela Hildebrand; Patrizio Sale; Giorgio Albertini; Fabrizio Stocchi; Maria Francesca De Pandis
Journal:  Parkinsons Dis       Date:  2015-10-01

10.  Association between Community Ambulation Walking Patterns and Cognitive Function in Patients with Parkinson's Disease: Further Insights into Motor-Cognitive Links.

Authors:  Aner Weiss; Talia Herman; Nir Giladi; Jeffrey M Hausdorff
Journal:  Parkinsons Dis       Date:  2015-10-29
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