PMID- 27452964
OWN - NLM
STAT- MEDLINE
DCOM- 20180101
LR  - 20180316
IS  - 1531-8257 (Electronic)
IS  - 0885-3185 (Linking)
VI  - 31
IP  - 9
DP  - 2016 Sep
TI  - Free-living monitoring of Parkinson's disease: Lessons from the field.
PG  - 1293-313
LID - 10.1002/mds.26718 [doi]
AB  - Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on
      the body and/or paired with mobile devices (eg, smart phones) allowing continuous
      patient monitoring in unsupervised, habitual environments (termed free-living).
      Wearable technologies are revolutionizing approaches to health care as a result
      of their utility, accessibility, and affordability. They are positioned to
      transform Parkinson's disease (PD) management through the provision of
      individualized, comprehensive, and representative data. This is particularly
      relevant in PD where symptoms are often triggered by task and free-living
      environmental challenges that cannot be replicated with sufficient veracity
      elsewhere. This review concerns use of wearable technology in free-living
      environments for people with PD. It outlines the potential advantages of wearable
      technologies and evidence for these to accurately detect and measure clinically
      relevant features including motor symptoms, falls risk, freezing of gait, gait,
      functional mobility, and physical activity. Technological limitations and
      challenges are highlighted, and advances concerning broader aspects are
      discussed. Recommendations to overcome key challenges are made. To date there is 
      no fully validated system to monitor clinical features or activities in
      free-living environments. Robust accuracy and validity metrics for some features 
      have been reported, and wearable technology may be used in these cases with a
      degree of confidence. Utility and acceptability appears reasonable, although
      testing has largely been informal. Key recommendations include adopting a
      multidisciplinary approach for standardizing definitions, protocols, and
      outcomes. Robust validation of developed algorithms and sensor-based metrics is
      required along with testing of utility. These advances are required before
      widespread clinical adoption of wearable technology can be realized. (c) 2016
      International Parkinson and Movement Disorder Society.
CI  - (c) 2016 International Parkinson and Movement Disorder Society.
FAU - Del Din, Silvia
AU  - Del Din S
AD  - Institute of Neuroscience, Newcastle University Institute for Ageing, Clinical
      Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University,
      Newcastle upon Tyne, UK.
FAU - Godfrey, Alan
AU  - Godfrey A
AD  - Institute of Neuroscience, Newcastle University Institute for Ageing, Clinical
      Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University,
      Newcastle upon Tyne, UK.
FAU - Mazza, Claudia
AU  - Mazza C
AD  - Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK.
AD  - INSIGNEO Institute for In Silico Medicine, The University of Sheffield,
      Sheffield, UK.
FAU - Lord, Sue
AU  - Lord S
AD  - Institute of Neuroscience, Newcastle University Institute for Ageing, Clinical
      Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University,
      Newcastle upon Tyne, UK.
FAU - Rochester, Lynn
AU  - Rochester L
AD  - Institute of Neuroscience, Newcastle University Institute for Ageing, Clinical
      Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University,
      Newcastle upon Tyne, UK. lynn.rochester@ncl.ac.uk.
LA  - eng
GR  - Medical Research Council/United Kingdom
GR  - Arthritis Research UK/United Kingdom
PT  - Journal Article
PT  - Review
PT  - Research Support, Non-U.S. Gov't
DEP - 20160725
PL  - United States
TA  - Mov Disord
JT  - Movement disorders : official journal of the Movement Disorder Society
JID - 8610688
SB  - IM
MH  - Humans
MH  - Monitoring, Ambulatory/*standards
MH  - Parkinson Disease/*diagnosis
OTO - NOTNLM
OT  - *Parkinson's disease
OT  - *free-living assessment
OT  - *remote monitoring
OT  - *wearable technology
EDAT- 2016/07/28 06:00
MHDA- 2018/01/02 06:00
CRDT- 2016/07/26 06:00
PHST- 2016/02/04 00:00 [received]
PHST- 2016/06/09 00:00 [revised]
PHST- 2016/06/13 00:00 [accepted]
PHST- 2016/07/26 06:00 [entrez]
PHST- 2016/07/28 06:00 [pubmed]
PHST- 2018/01/02 06:00 [medline]
AID - 10.1002/mds.26718 [doi]
PST - ppublish
SO  - Mov Disord. 2016 Sep;31(9):1293-313. doi: 10.1002/mds.26718. Epub 2016 Jul 25.