Literature DB >> 26253901

Wearable sensor-based objective assessment of motor symptoms in Parkinson's disease.

Christiana Ossig1, Angelo Antonini2, Carsten Buhmann3, Joseph Classen4, Ilona Csoti5, Björn Falkenburger6, Michael Schwarz7, Jürgen Winkler8, Alexander Storch9,10,11.   

Abstract

Effective management and development of new treatment strategies of motor symptoms in Parkinson's disease (PD) largely depend on clinical rating instruments like the Unified PD rating scale (UPDRS) and the modified abnormal involuntary movement scale (mAIMS). Regarding inter-rater variability and continuous monitoring, clinical rating scales have various limitations. Patient-administered questionnaires such as the PD home diary to assess motor stages and fluctuations in late-stage PD are frequently used in clinical routine and as clinical trial endpoints, but diary/questionnaire are tiring, and recall bias impacts on data quality, particularly in patients with cognitive dysfunction or depression. Consequently, there is a strong need for continuous and objective monitoring of motor symptoms in PD for improving therapeutic regimen and for usage in clinical trials. Recent advances in battery technology, movement sensors such as gyroscopes, accelerometers and information technology boosted the field of objective measurement of movement in everyday life and medicine using wearable sensors allowing continuous (long-term) monitoring. This systematic review summarizes the current wearable sensor-based devices to objectively assess the various motor symptoms of PD.

Entities:  

Keywords:  Accelerometer; Clinical scores; Gyroscope; Motor symptoms; Objective measurement; Parkinson’s disease (PD)

Mesh:

Year:  2015        PMID: 26253901     DOI: 10.1007/s00702-015-1439-8

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  50 in total

1.  Patient non-compliance with paper diaries.

Authors:  Arthur A Stone; Saul Shiffman; Joseph E Schwartz; Joan E Broderick; Michael R Hufford
Journal:  BMJ       Date:  2002-05-18

2.  Smart watch accelerometry for analysis and diagnosis of tremor.

Authors:  Daryl J Wile; Ranjit Ranawaya; Zelma H T Kiss
Journal:  J Neurosci Methods       Date:  2014-04-23       Impact factor: 2.390

3.  Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use.

Authors:  Silvia Del Din; Alan Godfrey; Lynn Rochester
Journal:  IEEE J Biomed Health Inform       Date:  2015-04-02       Impact factor: 5.772

4.  Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030.

Authors:  E R Dorsey; R Constantinescu; J P Thompson; K M Biglan; R G Holloway; K Kieburtz; F J Marshall; B M Ravina; G Schifitto; A Siderowf; C M Tanner
Journal:  Neurology       Date:  2006-11-02       Impact factor: 9.910

5.  The validity of the GaitRite and the Functional Ambulation Performance scoring system in the analysis of Parkinson gait.

Authors:  Arthur J Nelson; Dalia Zwick; Susan Brody; Christine Doran; Lori Pulver; Gitty Rooz; Marla Sadownick; Roger Nelson; Jeffrey Rothman
Journal:  NeuroRehabilitation       Date:  2002       Impact factor: 2.138

6.  Accelerometer-based quantitative analysis of axial nocturnal movements differentiates patients with Parkinson's disease, but not high-risk individuals, from controls.

Authors:  Maartje Louter; Walter Maetzler; Jos Prinzen; Rob C van Lummel; Markus Hobert; Johan B A M Arends; Bastiaan R Bloem; Johannes Streffer; Daniela Berg; Sebastiaan Overeem; Inga Liepelt-Scarfone
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-04-28       Impact factor: 10.154

7.  Systematic evaluation of rating scales for impairment and disability in Parkinson's disease.

Authors:  Claudia Ramaker; Johan Marinus; Anne Margarethe Stiggelbout; Bob Johannes Van Hilten
Journal:  Mov Disord       Date:  2002-09       Impact factor: 10.338

8.  Evaluating Parkinson's disease patients at home: utility of self-videotaping for objective motor, dyskinesia, and ON-OFF assessments.

Authors:  Christopher G Goetz; Sue Leurgans; Vanessa K Hinson; Lucia M Blasucci; Jennifer Zimmerman; Wenqing Fan; Tiffany Nguyen; Ann Hsu
Journal:  Mov Disord       Date:  2008-07-30       Impact factor: 10.338

Review 9.  Bradykinesia in Parkinson's disease: disorders of onset and execution of fast movement.

Authors:  N Yanagisawa; S Fujimoto; F Tamaru
Journal:  Eur Neurol       Date:  1989       Impact factor: 1.710

10.  An objective fluctuation score for Parkinson's disease.

Authors:  Malcolm K Horne; Sarah McGregor; Filip Bergquist
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

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  35 in total

Review 1.  Using wearables to assess bradykinesia and rigidity in patients with Parkinson's disease: a focused, narrative review of the literature.

Authors:  Itay Teshuva; Inbar Hillel; Eran Gazit; Nir Giladi; Anat Mirelman; Jeffrey M Hausdorff
Journal:  J Neural Transm (Vienna)       Date:  2019-05-22       Impact factor: 3.575

2.  The Parkinson's disease e-diary: Developing a clinical and research tool for the digital age.

Authors:  Joaquin A Vizcarra; Álvaro Sánchez-Ferro; Walter Maetzler; Luca Marsili; Lucia Zavala; Anthony E Lang; Pablo Martinez-Martin; Tiago A Mestre; Ralf Reilmann; Jeffrey M Hausdorff; E Ray Dorsey; Serene S Paul; Judith W Dexheimer; Benjamin D Wissel; Rebecca L M Fuller; Paolo Bonato; Ai Huey Tan; Bastiaan R Bloem; Catherine Kopil; Margaret Daeschler; Lauren Bataille; Galit Kleiner; Jesse M Cedarbaum; Jochen Klucken; Aristide Merola; Christopher G Goetz; Glenn T Stebbins; Alberto J Espay
Journal:  Mov Disord       Date:  2019-03-22       Impact factor: 10.338

3.  Evaluation for Parkinsonian Bradykinesia by deep learning modeling of kinematic parameters.

Authors:  Dong Jun Park; Jun Woo Lee; Myung Jun Lee; Se Jin Ahn; Jiyoung Kim; Gyu Lee Kim; Young Jin Ra; Yu Na Cho; Weui Bong Jeong
Journal:  J Neural Transm (Vienna)       Date:  2021-01-28       Impact factor: 3.575

4.  Parkinson's disease and Covid-19: The effect and use of telemedicine.

Authors:  Aleksandra M Podlewska; Daniel J van Wamelen
Journal:  Int Rev Neurobiol       Date:  2022-07-14       Impact factor: 4.280

Review 5.  Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review.

Authors:  Konstantina-Maria Giannakopoulou; Ioanna Roussaki; Konstantinos Demestichas
Journal:  Sensors (Basel)       Date:  2022-02-24       Impact factor: 3.576

6.  Intraoperative Quantification of MDS-UPDRS Tremor Measurements Using 3D Accelerometry: A Pilot Study.

Authors:  Annemarie Smid; Jan Willem J Elting; J Marc C van Dijk; Bert Otten; D L Marinus Oterdoom; Katalin Tamasi; Tjitske Heida; Teus van Laar; Gea Drost
Journal:  J Clin Med       Date:  2022-04-19       Impact factor: 4.241

7.  Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders.

Authors:  Can Tunca; Nezihe Pehlivan; Nağme Ak; Bert Arnrich; Gülüstü Salur; Cem Ersoy
Journal:  Sensors (Basel)       Date:  2017-04-11       Impact factor: 3.576

Review 8.  Freezing of gait and fall detection in Parkinson's disease using wearable sensors: a systematic review.

Authors:  Ana Lígia Silva de Lima; Luc J W Evers; Tim Hahn; Lauren Bataille; Jamie L Hamilton; Max A Little; Yasuyuki Okuma; Bastiaan R Bloem; Marjan J Faber
Journal:  J Neurol       Date:  2017-03-01       Impact factor: 4.849

9.  Wearable Technology to Detect Motor Fluctuations in Parkinson's Disease Patients: Current State and Challenges.

Authors:  Mercedes Barrachina-Fernández; Ana María Maitín; Carmen Sánchez-Ávila; Juan Pablo Romero
Journal:  Sensors (Basel)       Date:  2021-06-18       Impact factor: 3.576

Review 10.  A Viewpoint on Wearable Technology-Enabled Measurement of Wellbeing and Health-Related Quality of Life in Parkinson's Disease.

Authors:  Janet M T van Uem; Tom Isaacs; Alan Lewin; Eros Bresolin; Dina Salkovic; Alberto J Espay; Helen Matthews; Walter Maetzler
Journal:  J Parkinsons Dis       Date:  2016-03-10       Impact factor: 5.568

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