Literature DB >> 31115669

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

Itay Teshuva1, Inbar Hillel1, Eran Gazit1, Nir Giladi1,2,3, Anat Mirelman1,2,3, Jeffrey M Hausdorff4,5,6,7,8.   

Abstract

The potential of using wearable technologies for the objective assessment of motor symptoms in Parkinson's disease (PD) has gained prominence recently. Nonetheless, compared to tremor and gait impairment, less emphasis has been placed on the quantification of bradykinesia and rigidity. This review aimed to consolidate the existing research on objective measurement of bradykinesia and rigidity in PD through the use of wearables, focusing on the continuous monitoring of these two symptoms in free-living environments. A search of PubMed was conducted through a combination of keyword and MeSH searches. We also searched the IEEE, Google Scholar, Embase, and Scopus databases to ensure thorough results and to minimize the chances of missing relevant studies. Papers published after the year 2000 with sample sizes greater than five were included. Studies were assessed for quality and information was extracted regarding the devices used and their location on the body, the setting and duration of the study, the "gold standard" used as a reference for validation, the metrics used, and the results of each paper. Thirty-one and eight studies met the search criteria and evaluated bradykinesia and rigidity, respectively. Several studies reported strong associations between wearable-based measures and the gold-standard references for bradykinesia, and, to a lesser extent, rigidity. Only a few, pilot studies investigated the measurement of bradykinesia and rigidity in the home and free-living settings. While the current results are promising for the future of wearables, additional work is needed on their validation and adaptation in ecological, free-living settings. Doing so has the potential to improve the assessment and treatment of motor fluctuations and symptoms of PD more generally through real-time objective monitoring of bradykinesia and rigidity.

Entities:  

Keywords:  Accelerometer; Bradykinesia; Parkinson’s disease; Rigidity; Wearables

Year:  2019        PMID: 31115669     DOI: 10.1007/s00702-019-02017-9

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


  68 in total

1.  Quantification of tremor and bradykinesia in Parkinson's disease using a novel ambulatory monitoring system.

Authors:  Arash Salarian; Heike Russmann; Christian Wider; Pierre R Burkhard; Françios J G Vingerhoets; Kamiar Aminian
Journal:  IEEE Trans Biomed Eng       Date:  2007-02       Impact factor: 4.538

2.  A novel method for systematic analysis of rigidity in Parkinson's disease.

Authors:  Takayuki Endo; Ryuhei Okuno; Masaru Yokoe; Kenzo Akazawa; Saburo Sakoda
Journal:  Mov Disord       Date:  2009-11-15       Impact factor: 10.338

3.  Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.

Authors:  Shyamal Patel; Konrad Lorincz; Richard Hughes; Nancy Huggins; John Growdon; David Standaert; Metin Akay; Jennifer Dy; Matt Welsh; Paolo Bonato
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-10-20

4.  Ambulatory motor assessment in Parkinson's disease.

Authors:  Noël L W Keijsers; Martin W I M Horstink; Stan C A M Gielen
Journal:  Mov Disord       Date:  2006-01       Impact factor: 10.338

Review 5.  Pathophysiology of bradykinesia in Parkinson's disease.

Authors:  A Berardelli; J C Rothwell; P D Thompson; M Hallett
Journal:  Brain       Date:  2001-11       Impact factor: 13.501

6.  Inter- and intrarater reliability of the Modified Modified Ashworth Scale in patients with knee extensor poststroke spasticity.

Authors:  Noureddin Nakhostin Ansari; Soofia Naghdi; Parastoo Younesian; Mohammad Shayeghan
Journal:  Physiother Theory Pract       Date:  2008 May-Jun       Impact factor: 2.279

7.  Accuracy of objective ambulatory accelerometry in detecting motor complications in patients with Parkinson disease.

Authors:  J I Hoff; V van der Meer; J J van Hilten
Journal:  Clin Neuropharmacol       Date:  2004 Mar-Apr       Impact factor: 1.592

8.  Quantitative measures of fine motor, limb, and postural bradykinesia in very early stage, untreated Parkinson's disease.

Authors:  Mandy Miller Koop; Nicole Shivitz; Helen Brontë-Stewart
Journal:  Mov Disord       Date:  2008-07-15       Impact factor: 10.338

9.  Assessment of Parkinson disease manifestations.

Authors:  Joel S Perlmutter
Journal:  Curr Protoc Neurosci       Date:  2009-10

10.  Gait dynamics in Parkinson's disease: relationship to Parkinsonian features, falls and response to levodopa.

Authors:  Joanna D Schaafsma; Nir Giladi; Yacov Balash; Anna L Bartels; Tanya Gurevich; Jeffrey M Hausdorff
Journal:  J Neurol Sci       Date:  2003-08-15       Impact factor: 3.181

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  11 in total

1.  Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device.

Authors:  Nikhil Mahadevan; Charmaine Demanuele; Hao Zhang; Dmitri Volfson; Bryan Ho; Michael Kelley Erb; Shyamal Patel
Journal:  NPJ Digit Med       Date:  2020-01-15

2.  Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson's Disease.

Authors:  Kevin B Wilkins; Matthew N Petrucci; Yasmine Kehnemouyi; Anca Velisar; Katie Han; Gerrit Orthlieb; Megan H Trager; Johanna J O'Day; Sudeep Aditham; Helen Bronte-Stewart
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

3.  Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson's Disease Hand Tremor.

Authors:  Prashanna Khwaounjoo; Gurleen Singh; Sophie Grenfell; Burak Özsoy; Michael R MacAskill; Tim J Anderson; Yusuf O Çakmak
Journal:  Sensors (Basel)       Date:  2022-06-18       Impact factor: 3.847

4.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

5.  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

6.  Outcome measures based on digital health technology sensor data: data- and patient-centric approaches.

Authors:  Kirsten I Taylor; Hannah Staunton; Florian Lipsmeier; David Nobbs; Michael Lindemann
Journal:  NPJ Digit Med       Date:  2020-07-23

7.  Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors.

Authors:  Nicholas Shawen; Megan K O'Brien; Sanjeev Venkatesan; Luca Lonini; Tanya Simuni; Jamie L Hamilton; Roozbeh Ghaffari; John A Rogers; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2020-04-20       Impact factor: 4.262

8.  A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinson's Disease.

Authors:  Han Zhang; Chuantao Li; Wei Liu; Jingying Wang; Junhong Zhou; Shouyan Wang
Journal:  Sensors (Basel)       Date:  2020-10-29       Impact factor: 3.576

9.  Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device.

Authors:  Nikhil Mahadevan; Charmaine Demanuele; Hao Zhang; Dmitri Volfson; Bryan Ho; Michael Kelley Erb; Shyamal Patel
Journal:  NPJ Digit Med       Date:  2020-01-15

10.  Data-Driven Models for Objective Grading Improvement of Parkinson's Disease.

Authors:  Abdul Haleem Butt; Erika Rovini; Hamido Fujita; Carlo Maremmani; Filippo Cavallo
Journal:  Ann Biomed Eng       Date:  2020-10-01       Impact factor: 3.934

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