Literature DB >> 33936392

Towards motor evaluation of Parkinson's Disease Patients using wearable inertial sensors.

Vibha Anand1, Erhan Bilal2, Bryan Ho3, John J Rice2.   

Abstract

Parkinson's disease (PD) patients require frequent office visits where they are assessed for health state changes using Unified Parkinson's Disease Rating Scale (UPDRS). Inertial wearable sensor devices present a unique opportunity to supplement these assessments with continuous monitoring. In this work, we analyze kinematic features from sensor devices located on feet, wrists, lumbar and sternum for 35 PD subjects as they performed walk trials in two clinical visits, one for each of their self-reported ON and OFF motor states. Our results show that a few features related to subject's whole-body turns and pronation-supination motor events can accurately infer cardinal features of PD like bradykinesia and posture instability and gait disorder (PIGD). In addition, these features can be measured from only two sensors, one located on the affected wrist and one on the lumbar region, thus potentially reducing patient burden of wearing sensors while supporting continuous monitoring in out of office settings. ©2020 AMIA - All rights reserved.

Entities:  

Year:  2021        PMID: 33936392      PMCID: PMC8075509     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  26 in total

Review 1.  Potential of APDM mobility lab for the monitoring of the progression of Parkinson's disease.

Authors:  Martina Mancini; Fay B Horak
Journal:  Expert Rev Med Devices       Date:  2016-05       Impact factor: 3.166

2.  Unified Parkinson's disease rating scale motor examination: are ratings of nurses, residents in neurology, and movement disorders specialists interchangeable?

Authors:  Bart Post; Maruschka P Merkus; Rob M A de Bie; Rob J de Haan; Johannes D Speelman
Journal:  Mov Disord       Date:  2005-12       Impact factor: 10.338

3.  Movement disorder society unified Parkinson disease rating scale experiences in daily living: longitudinal changes and correlation with other assessments.

Authors:  Anthony E Lang; Shirley Eberly; Christopher G Goetz; Glenn Stebbins; David Oakes; Ken Marek; Bernard Ravina; Caroline M Tanner; Ira Shoulson
Journal:  Mov Disord       Date:  2013-10-09       Impact factor: 10.338

Review 4.  Molecular basis of dopamine replacement therapy and its side effects in Parkinson's disease.

Authors:  Hana You; Louise-Laure Mariani; Graziella Mangone; Delphine Le Febvre de Nailly; Fanny Charbonnier-Beaupel; Jean-Christophe Corvol
Journal:  Cell Tissue Res       Date:  2018-03-07       Impact factor: 5.249

5.  Gait as a biomarker? Accelerometers reveal that reduced movement quality while walking is associated with Parkinson's disease, ageing and fall risk.

Authors:  Matthew A Brodie; Nigel H Lovell; Colleen G Canning; Hylton B Menz; Kim Delbaere; Stephen J Redmond; Mark Latt; Daina L Sturnieks; Jasmine Menant; Stuart T Smith; Stephen R Lord
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  Parkinson's disease home diary: further validation and implications for clinical trials.

Authors:  Robert A Hauser; Frieda Deckers; Philippe Lehert
Journal:  Mov Disord       Date:  2004-12       Impact factor: 10.338

Review 7.  The Unified Parkinson's Disease Rating Scale (UPDRS): status and recommendations.

Authors: 
Journal:  Mov Disord       Date:  2003-07       Impact factor: 10.338

Review 8.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

9.  Wearable sensors objectively measure gait parameters in Parkinson's disease.

Authors:  Johannes C M Schlachetzki; Jens Barth; Franz Marxreiter; Julia Gossler; Zacharias Kohl; Samuel Reinfelder; Heiko Gassner; Kamiar Aminian; Bjoern M Eskofier; Jürgen Winkler; Jochen Klucken
Journal:  PLoS One       Date:  2017-10-11       Impact factor: 3.240

10.  mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease.

Authors:  M Kelley Erb; Daniel R Karlin; Bryan K Ho; Kevin C Thomas; Federico Parisi; Gloria P Vergara-Diaz; Jean-Francois Daneault; Paul W Wacnik; Hao Zhang; Tairmae Kangarloo; Charmaine Demanuele; Chris R Brooks; Craig N Detheridge; Nina Shaafi Kabiri; Jaspreet S Bhangu; Paolo Bonato
Journal:  NPJ Digit Med       Date:  2020-01-17
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