Literature DB >> 33409603

Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature.

Stefania Ancona1, Francesca D Faraci2, Elina Khatab3, Luigi Fiorillo2,4, Oriella Gnarra1,5,6,7, Tobias Nef1,6,7, Claudio L A Bassetti1,6, Panagiotis Bargiotas8,9.   

Abstract

At present, the standard practices for home-based assessments of abnormal movements in Parkinson's disease (PD) are based either on subjective tools or on objective measures that often fail to capture day-to-day fluctuations and long-term information in real-life conditions in a way that patient's compliance and privacy are secured. The employment of wearable technologies in PD represents a great paradigm shift in healthcare remote diagnostics and therapeutics monitoring. However, their applicability in everyday clinical practice seems to be still limited. We carried out a systematic search across the Medline Database. In total, 246 publications, published until 1 June 2020, were identified. Among them, 26 reports met the inclusion criteria and were included in the present review. We focused more on clinically relevant aspects of wearables' application including feasibility and efficacy of the assessment, the number, type and body position of the wearable devices, type of PD motor symptom, environment and duration of assessments and validation methodology. The aim of this review is to provide a systematic overview of the current knowledge and state-of-the-art of the home-based assessment of motor symptoms and fluctuations in PD patients using wearable technology, highlighting current problems and laying foundations for future works.
© 2021. Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Body sensors; Body-mounted; Dyskinesias; Home-based systems; Motion monitoring; Motor symptoms; Parkinson’s disease; Wireless technology

Mesh:

Year:  2021        PMID: 33409603     DOI: 10.1007/s00415-020-10350-3

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  22 in total

Review 1.  MDS clinical diagnostic criteria for Parkinson's disease.

Authors:  Ronald B Postuma; Daniela Berg; Matthew Stern; Werner Poewe; C Warren Olanow; Wolfgang Oertel; José Obeso; Kenneth Marek; Irene Litvan; Anthony E Lang; Glenda Halliday; Christopher G Goetz; Thomas Gasser; Bruno Dubois; Piu Chan; Bastiaan R Bloem; Charles H Adler; Günther Deuschl
Journal:  Mov Disord       Date:  2015-10       Impact factor: 10.338

Review 2.  Epidemiology of Parkinson's disease.

Authors:  Ole-Bjørn Tysnes; Anette Storstein
Journal:  J Neural Transm (Vienna)       Date:  2017-02-01       Impact factor: 3.575

3.  A frequency and correlation analysis of motor deficits in Parkinson patients.

Authors:  A Nieuwboer; W De Weerdt; R Dom; E Lesaffre
Journal:  Disabil Rehabil       Date:  1998-04       Impact factor: 3.033

4.  Impaired bed mobility and disordered sleep in Parkinson's disease.

Authors:  Emma L Stack; Ann M Ashburn
Journal:  Mov Disord       Date:  2006-09       Impact factor: 10.338

5.  Capturing nighttime symptoms in Parkinson disease: Technical development and experimental verification of inertial sensors for nocturnal hypokinesia.

Authors:  Roongroj Bhidayasiri; Jirada Sringean; Poonpak Taechalertpaisarn; Chusak Thanawattano
Journal:  J Rehabil Res Dev       Date:  2016

6.  How well do Parkinson's disease patients turn in bed? Quantitative analysis of nocturnal hypokinesia using multisite wearable inertial sensors.

Authors:  Jirada Sringean; Poonpak Taechalertpaisarn; Chusak Thanawattano; Roongroj Bhidayasiri
Journal:  Parkinsonism Relat Disord       Date:  2015-11-05       Impact factor: 4.891

Review 7.  Progression of motor symptoms in Parkinson's disease.

Authors:  Ruiping Xia; Zhi-Hong Mao
Journal:  Neurosci Bull       Date:  2012-02       Impact factor: 5.203

8.  Feasibility of home-based automated Parkinson's disease motor assessment.

Authors:  Thomas O Mera; Dustin A Heldman; Alberto J Espay; Megan Payne; Joseph P Giuffrida
Journal:  J Neurosci Methods       Date:  2011-09-29       Impact factor: 2.390

9.  Use and interpretation of on/off diaries in Parkinson's disease.

Authors:  J Reimer; M Grabowski; O Lindvall; P Hagell
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-03       Impact factor: 10.154

10.  Erratum to: A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease.

Authors:  Catarina Godinho; Josefa Domingos; Guilherme Cunha; Ana T Santos; Ricardo M Fernandes; Daisy Abreu; Nilza Gonçalves; Helen Matthews; Tom Isaacs; Joy Duffen; Ahmed Al-Jawad; Frank Larsen; Artur Serrano; Peter Weber; Andrea Thoms; Stefan Sollinger; Holm Graessner; Walter Maetzler; Joaquim J Ferreira
Journal:  J Neuroeng Rehabil       Date:  2016-08-01       Impact factor: 4.262

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  8 in total

Review 1.  Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall.

Authors:  Ioannis Bargiotas; Danping Wang; Juan Mantilla; Flavien Quijoux; Albane Moreau; Catherine Vidal; Remi Barrois; Alice Nicolai; Julien Audiffren; Christophe Labourdette; François Bertin-Hugaul; Laurent Oudre; Stephane Buffat; Alain Yelnik; Damien Ricard; Nicolas Vayatis; Pierre-Paul Vidal
Journal:  J Neurol       Date:  2022-07-11       Impact factor: 6.682

2.  Home-Based Measurements of Dystonia in Cerebral Palsy Using Smartphone-Coupled Inertial Sensor Technology and Machine Learning: A Proof-of-Concept Study.

Authors:  Dylan den Hartog; Marjolein M van der Krogt; Sven van der Burg; Ignazio Aleo; Johannes Gijsbers; Laura A Bonouvrié; Jaap Harlaar; Annemieke I Buizer; Helga Haberfehlner
Journal:  Sensors (Basel)       Date:  2022-06-09       Impact factor: 3.847

Review 3.  The state of telemedicine for persons with Parkinson's disease.

Authors:  Robin van den Bergh; Bastiaan R Bloem; Marjan J Meinders; Luc J W Evers
Journal:  Curr Opin Neurol       Date:  2021-08-01       Impact factor: 6.283

4.  Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease.

Authors:  F Elizabeth Godkin; Erin Turner; Youness Demnati; Adam Vert; Angela Roberts; Richard H Swartz; Paula M McLaughlin; Kyle S Weber; Vanessa Thai; Kit B Beyer; Benjamin Cornish; Agessandro Abrahao; Sandra E Black; Mario Masellis; Lorne Zinman; Derek Beaton; Malcolm A Binns; Vivian Chau; Donna Kwan; Andrew Lim; Douglas P Munoz; Stephen C Strother; Kelly M Sunderland; Brian Tan; William E McIlroy; Karen Van Ooteghem
Journal:  J Neurol       Date:  2021-10-27       Impact factor: 6.682

Review 5.  Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.

Authors:  Christina Salchow-Hömmen; Matej Skrobot; Magdalena C E Jochner; Thomas Schauer; Andrea A Kühn; Nikolaus Wenger
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

6.  Events Detection of Anticipatory Postural Adjustments through a Wearable Accelerometer Sensor Is Comparable to That Measured by the Force Platform in Subjects with Parkinson's Disease.

Authors:  Tiziana Lencioni; Mario Meloni; Thomas Bowman; Alberto Marzegan; Antonio Caronni; Ilaria Carpinella; Anna Castagna; Valerio Gower; Maurizio Ferrarin; Elisa Pelosin
Journal:  Sensors (Basel)       Date:  2022-03-30       Impact factor: 3.576

7.  Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Authors:  Malte Ollenschläger; Felix Kluge; Matthias Müller-Schulz; Rupert Püllen; Claudia Möller; Jochen Klucken; Bjoern M Eskofier
Journal:  Eur Geriatr Med       Date:  2022-03-03       Impact factor: 3.269

8.  Acceptability of an In-home Multimodal Sensor Platform for Parkinson Disease: Nonrandomized Qualitative Study.

Authors:  Catherine Morgan; Emma L Tonkin; Ian Craddock; Alan L Whone
Journal:  JMIR Hum Factors       Date:  2022-07-07
  8 in total

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