000197641 001__ 197641
000197641 005__ 20181203023439.0
000197641 0247_ $$2doi$$a10.1111/ane.12248
000197641 022__ $$a0001-6314
000197641 02470 $$2ISI$$a000340568500001
000197641 037__ $$aARTICLE
000197641 245__ $$aTechnical and clinical view on ambulatory assessment in Parkinson's disease
000197641 260__ $$bWiley-Blackwell$$c2014$$aHoboken
000197641 269__ $$a2014
000197641 300__ $$a9
000197641 336__ $$aJournal Articles
000197641 520__ $$aWith 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.
000197641 6531_ $$aambulatory systems
000197641 6531_ $$agait analysis
000197641 6531_ $$amotor symptoms
000197641 6531_ $$amotor-cognitive interaction
000197641 6531_ $$aParkinson's disease
000197641 6531_ $$asway analysis
000197641 6531_ $$awearable sensors
000197641 700__ $$aHobert, M.
000197641 700__ $$aMaetzler, W.
000197641 700__ $$0240167$$g104385$$aAminian, Kamiar
000197641 700__ $$aChiari, L.
000197641 773__ $$tActa Neurologica Scandinavica$$k130$$q139-147
000197641 909C0 $$xU10303$$0252052$$pLMAM
000197641 909CO $$pSTI$$particle$$ooai:infoscience.tind.io:197641
000197641 917Z8 $$x104385
000197641 917Z8 $$x104385
000197641 937__ $$aEPFL-ARTICLE-197641
000197641 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000197641 980__ $$aARTICLE