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@ARTICLE{Antonini:258252,
      author       = {Antonini, Angelo and Reichmann, Heinz and Gentile, Giovanni
                      and Garon, Michela and Tedesco, Chiara and Frank, Anika and
                      Falkenburger, Bjoern and Konitsiotis, Spyridon and Tsamis,
                      Konstantinos and Rigas, Georgios and Kostikis, Nicholas and
                      Ntanis, Adamantios and Pattichis, Constantinos},
      title        = {{T}oward objective monitoring of {P}arkinson's disease
                      motor symptoms using a wearable device: wearability and
                      performance evaluation of {PDM}onitor®.},
      journal      = {Frontiers in neurology},
      volume       = {14},
      issn         = {1664-2295},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {DZNE-2023-00598},
      pages        = {1080752},
      year         = {2023},
      abstract     = {Parkinson's disease (PD) is characterized by a variety of
                      motor and non-motor symptoms. As disease progresses,
                      fluctuations in the response to levodopa treatment may
                      develop, along with emergence of freezing of gait (FoG) and
                      levodopa induced dyskinesia (LiD). The optimal management of
                      the motor symptoms and their complications, depends,
                      principally, on the consistent detection of their course,
                      leading to improved treatment decisions. During the last few
                      years, wearable devices have started to be used in the
                      clinical practice for monitoring patients' PD-related motor
                      symptoms, during their daily activities. This work describes
                      the results of 2 multi-site clinical studies (PDNST001 and
                      PDNST002) designed to validate the performance and the
                      wearability of a new wearable monitoring device, the
                      PDMonitor®, in the detection of PD-related motor symptoms.
                      For the studies, 65 patients with Parkinson's disease and 28
                      healthy individuals (controls) were recruited. Specifically,
                      during the Phase I of the first study, participants used the
                      monitoring device for 2-6 h in a clinic while neurologists
                      assessed the exhibited parkinsonian symptoms every half hour
                      using the Unified Parkinson's Disease Rating Scale (UPDRS)
                      Part III, as well as the Abnormal Involuntary Movement Scale
                      (AIMS) for dyskinesia severity assessment. The goal of Phase
                      I was data gathering. On the other hand, during the Phase II
                      of the first study, as well as during the second study
                      (PDNST002), day-to-day variability was evaluated, with
                      patients in the former and with control subjects in the
                      latter. In both cases, the device was used for a number of
                      days, with the subjects being unsupervised and free to
                      perform any kind of daily activities. The monitoring device
                      produced estimations of the severity of the majority of
                      PD-related motor symptoms and their fluctuations.
                      Statistical analysis demonstrated that the accuracy in the
                      detection of symptoms and the correlation between their
                      severity and the expert evaluations were high. As a result,
                      the studies confirmed the effectiveness of the system as a
                      continuous telemonitoring solution, easy to be used to
                      facilitate decision-making for the treatment of patients
                      with Parkinson's disease.},
      keywords     = {Parkinson's disease (Other) / automatic ambulatory
                      monitoring (Other) / digital health (Other) / inertial
                      measurement unit sensors (Other) / telemonitoring (Other) /
                      wearable devices (Other)},
      cin          = {AG Kempermann 1 ; AG Kempermann / Clinical Study Team
                      Dresden ; AG Falkenburger},
      ddc          = {610},
      cid          = {I:(DE-2719)1710001 / I:(DE-2719)1710012},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 353 - Clinical and
                      Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37260606},
      pmc          = {pmc:PMC10228366},
      doi          = {10.3389/fneur.2023.1080752},
      url          = {https://pub.dzne.de/record/258252},
}