Catarina Godinho|Josefa Domingos|Guilherme Cunha|A. Santos|Ricardo M Fernandes|Daisy Abreu|Nilza Gonçalves|Helen Matthews|Tom Isaacs|Joy Duffen|Ahmed Al-Jawad|Frank Larsen|Artur Serrano|Peter Weber|Andrea Thoms|Stefan Sollinger|Holm Graeßner|Walter Maetzler|Joaquim J. Ferreira
A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease
University of Lisbon|Escola Superior de Saúde Egas Moniz|Instituto Superior Politécnico do Oeste|University of Lisbon|Instituto Superior Politécnico do Oeste|University of Lisbon|University of Lisbon|University of Lisbon|University of Lisbon|University of Lisbon|Cure Parkinson's Trust|Cure Parkinson's Trust|Cure Parkinson's Trust|Hahn-Schickard-Gesellschaft für angewandte Forschung|University Hospital of North Norway|University Hospital of North Norway|Hasomed (Germany)|Hasomed (Germany)|AbilityNet (United Kingdom)|University of Tübingen|Hertie Institute for Clinical Brain Research|University of Lisbon|Instituto Superior Politécnico do Oeste
growing interest objective assessment healthrelated outcomes using technologybased devices provide unbiased measurements used clinical practice scientific research many studies investigated clinical manifestations parkinsons disease using devices however clinimetric properties clinical validation vary among different devicesgiven heterogeneity sought perform systematic review order list ii compare iii classify technologicalbased devices used measure motor function individuals parkinsons disease three groups namely wearable nonwearable hybrid devices systematic literature search pubmed database resulted inclusion 168 studies studies grouped based type device used device reviewed availability use reliability validity sensitivity change devices classified recommended ii suggested iii listed based following criteria 1 used assessment parkinsons disease yesno 2 used published studies people developers yesno 3 successful clinimetric testing yesnoseventythree devices identified 22 wearable 38 nonwearable 13 hybrid devices accordance classification method 9 devices recommended 34 devices suggested 30 devices classified listed within wearable devices group mobility lab sensors ambulatory parkinsons disease monitoring apdm physilog stepwatch 3 tritrac rt3 triaxial accelerometer mcroberts dynaport axivity ax3 classified recommended within nonwearable devices group nintendo wii balance board gaitrite gait analysis system classified recommended within hybrid devices group kinesia system classified recommended