title: Technologies Assessing Limb Bradykinesia in Parkinson's Disease.
abstract: The MDS-UPDRS (Movement Disorders Society - Unified Parkinson's Disease Rating Scale) is the most widely used scale for rating impairment in PD. Subscores measuring bradykinesia have low reliability that can be subject to rater variability. Novel technological tools can be used to overcome such issues.
  
  
  
  To systematically explore and describe the available technologies for measuring limb bradykinesia in PD that were published between 2006 and 2016.
  
  
  
  A systematic literature search using PubMed (MEDLINE), IEEE Xplore, Web of Science, Scopus and Engineering Village (Compendex and Inspec) databases was performed to identify relevant technologies published until 18 October 2016.
  
  
  
  47 technologies assessing bradykinesia in PD were identified, 17 of which offered home and clinic-based assessment whilst 30 provided clinic-based assessment only. Of the eligible studies, 7 were validated in a PD patient population only, whilst 40 were tested in both PD and healthy control groups. 19 of the 47 technologies assessed bradykinesia only, whereas 28 assessed other parkinsonian features as well. 33 technologies have been described in additional PD-related studies, whereas 14 are not known to have been tested beyond the pilot phase.
  
  
  
  Technology based tools offer advantages including objective motor assessment and home monitoring of symptoms, and can be used to assess response to intervention in clinical trials or routine care. This review provides an up-to-date repository and synthesis of the current literature regarding technology used for assessing limb bradykinesia in PD. The review also discusses the current trends with regards to technology and discusses future directions in development.
authors.affiliation: UCL Institute of Neurology, Queen Square, London, UK.
authors.forename: Hasan
authors.initials: H
authors.lastname: Hasan
authors.affiliation: UCL Institute of Neurology, Queen Square, London, UK.|Sobell Department of Motor Neuroscience and Movement Disorders, The National Hospital for Neurology and Neurosurgery, London, UK.
authors.forename: Dilan S
authors.initials: DS
authors.lastname: Athauda
authors.affiliation: UCL Institute of Neurology, Queen Square, London, UK.|Sobell Department of Motor Neuroscience and Movement Disorders, The National Hospital for Neurology and Neurosurgery, London, UK.
authors.forename: Thomas
authors.initials: T
authors.lastname: Foltynie
authors.affiliation: UCL Institute of Neurology, Queen Square, London, UK.|Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University London, London, UK.|Reta Lila Weston Institute of Neurological studies, UCL Institute of Neurology, London, UK.
authors.forename: Alastair J
authors.initials: AJ
authors.lastname: Noyce
mesh_terms: D020811:Biomedical Technology / Q000295:instrumentation*; D005121:Extremities / Q000503:physiopathology*; D006801:Humans; D018476:Hypokinesia / Q000175:diagnosis* / Q000209:etiology; D009462:Neurology / Q000295:instrumentation*; D010300:Parkinson Disease / Q000150:complications / Q000175:diagnosis*
keywords: Hypokinesia; Parkinson disease; ambulatory monitoring; outcome assessment; review; technology