Literature DB >> 27452964

Free-living monitoring of Parkinson's disease: Lessons from the field.

Silvia Del Din1, Alan Godfrey1, Claudia Mazzà2,3, Sue Lord1, Lynn Rochester4.   

Abstract

Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the body and/or paired with mobile devices (eg, smart phones) allowing continuous patient monitoring in unsupervised, habitual environments (termed free-living). Wearable technologies are revolutionizing approaches to health care as a result of their utility, accessibility, and affordability. They are positioned to transform Parkinson's disease (PD) management through the provision of individualized, comprehensive, and representative data. This is particularly relevant in PD where symptoms are often triggered by task and free-living environmental challenges that cannot be replicated with sufficient veracity elsewhere. This review concerns use of wearable technology in free-living environments for people with PD. It outlines the potential advantages of wearable technologies and evidence for these to accurately detect and measure clinically relevant features including motor symptoms, falls risk, freezing of gait, gait, functional mobility, and physical activity. Technological limitations and challenges are highlighted, and advances concerning broader aspects are discussed. Recommendations to overcome key challenges are made. To date there is no fully validated system to monitor clinical features or activities in free-living environments. Robust accuracy and validity metrics for some features have been reported, and wearable technology may be used in these cases with a degree of confidence. Utility and acceptability appears reasonable, although testing has largely been informal. Key recommendations include adopting a multidisciplinary approach for standardizing definitions, protocols, and outcomes. Robust validation of developed algorithms and sensor-based metrics is required along with testing of utility. These advances are required before widespread clinical adoption of wearable technology can be realized.
© 2016 International Parkinson and Movement Disorder Society. © 2016 International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  Parkinson's disease; free-living assessment; remote monitoring; wearable technology

Mesh:

Year:  2016        PMID: 27452964     DOI: 10.1002/mds.26718

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  89 in total

Review 1.  Clinical and methodological challenges for assessing freezing of gait: Future perspectives.

Authors:  Martina Mancini; Bastiaan R Bloem; Fay B Horak; Simon J G Lewis; Alice Nieuwboer; Jorik Nonnekes
Journal:  Mov Disord       Date:  2019-05-02       Impact factor: 10.338

Review 2.  A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach.

Authors:  Lynn Rochester; Claudia Mazzà; Arne Mueller; Brian Caulfield; Marie McCarthy; Clemens Becker; Ram Miller; Paolo Piraino; Marco Viceconti; Wilhelmus P Dartee; Judith Garcia-Aymerich; Aida A Aydemir; Beatrix Vereijken; Valdo Arnera; Nadir Ammour; Michael Jackson; Tilo Hache; Ronenn Roubenoff
Journal:  Digit Biomark       Date:  2020-11-26

3.  Step-rate threshold for physical activity intensity in Parkinson's disease.

Authors:  Brenda Jeng; Katie L Cederberg; Byron Lai; Jeffer E Sasaki; Marcas M Bamman; Robert W Motl
Journal:  Acta Neurol Scand       Date:  2020-04-22       Impact factor: 3.209

4.  Regular Exercise, Quality of Life, and Mobility in Parkinson's Disease: A Longitudinal Analysis of National Parkinson Foundation Quality Improvement Initiative Data.

Authors:  Miriam R Rafferty; Peter N Schmidt; Sheng T Luo; Kan Li; Connie Marras; Thomas L Davis; Mark Guttman; Fernando Cubillos; Tanya Simuni
Journal:  J Parkinsons Dis       Date:  2017       Impact factor: 5.568

5.  Analysis of Free-Living Gait in Older Adults With and Without Parkinson's Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics.

Authors:  Silvia Del Din; Brook Galna; Alan Godfrey; Esther M J Bekkers; Elisa Pelosin; Freek Nieuwhof; Anat Mirelman; Jeffrey M Hausdorff; Lynn Rochester
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-03-14       Impact factor: 6.053

6.  Association of daily physical activity with cognition and mood disorders in treatment-naive patients with early-stage Parkinson's disease.

Authors:  Hiroo Terashi; Takeshi Taguchi; Yuki Ueta; Hiroshi Mitoma; Hitoshi Aizawa
Journal:  J Neural Transm (Vienna)       Date:  2019-09-30       Impact factor: 3.575

7.  Inertial Sensor-Based Centripetal Acceleration as a Correlate for Lateral Margin of Stability During Walking and Turning.

Authors:  Peter C Fino; Fay B Horak; Carolin Curtze
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-02-05       Impact factor: 3.802

8.  Quantity and quality of gait and turning in people with multiple sclerosis, Parkinson's disease and matched controls during daily living.

Authors:  Vrutangkumar V Shah; James McNames; Martina Mancini; Patricia Carlson-Kuhta; Rebecca I Spain; John G Nutt; Mahmoud El-Gohary; Carolin Curtze; Fay B Horak
Journal:  J Neurol       Date:  2020-01-11       Impact factor: 4.849

9.  BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework.

Authors:  Alan Godfrey; Jennifer C Goldsack; Pamela Tenaerts; Andrea Coravos; Clara Aranda; Azid Hussain; Marcos E Barreto; Fraser Young; Rodrigo Vitorio
Journal:  IEEE J Transl Eng Health Med       Date:  2020-05-28       Impact factor: 3.316

10.  A Comparison of Activity Monitor Data from Devices Worn on the Wrist and the Waist in People with Parkinson's Disease.

Authors:  Dong Wook Kim; Leanne M Hassett; Vanessa Nguy; Natalie E Allen
Journal:  Mov Disord Clin Pract       Date:  2019-10-18
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