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

Mera, Thomas O.; Heldman, Dustin A.; Espay, Alberto J.; Payne, Megan; Giuffrida, Joseph P.

doi:10.1016/j.jneumeth.2011.09.019

Cited by 99 publications

(77 citation statements)

References 18 publications

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“…To assess tremor in daily activities, a measuring system should not only discriminate tremor from other Parkinsonian motor symptoms, but also quantify tremor severity. With the help of a kinesis motion capture device consisting of a finger-worn motion sensor, and a wrist-worn command module for data acquisition and wireless data transmission, motor variation was presented in an straight and easy-to-understand way: a continuous quantitative score reflecting the severity of tremor was displayed in a graph, demonstrating the changes in the condition of each patient during the day (25). Long-time continuous monitoring information will help physicians with adjustment of a patient's medication dose and frequency.…”

Section: Continuous Monitoring In Daily Activitiesmentioning

confidence: 99%

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Objective and quantitative assessment of motor function in Parkinson’s disease—from the perspective of practical applications

et al. 2016

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Parkinson's disease (PD) is a common neurodegenerative disorder with high morbidity because of the coming aged society. Currently, disease management and the development of new treatment strategies mainly depend on the clinical information derived from rating scales and patients' diaries, which have various limitations with regard to validity, inter-rater variability and continuous monitoring. Recently the prevalence of mobile medical equipment has made it possible to develop an objective, accurate, remote monitoring system for motor function assessment, playing an important role in disease diagnosis, home-monitoring, and severity evaluation. This review discusses the recent development in sensor technology, which may be a promising replacement of the current rating scales in the assessment of motor function of PD.

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Section: Continuous Monitoring In Daily Activitiesmentioning

confidence: 99%

“…Patients could also provide disease-related information by doing video-guided motor tasks at home (25,31). An algorithm was developed to estimate the clinical scores provided by a neurologist when observing patients performing the same motor tasks.…”

Section: Home-based Monitoring Depending On Fixed Motor Tasksmentioning

confidence: 99%

Objective and quantitative assessment of motor function in Parkinson’s disease—from the perspective of practical applications

et al. 2016

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“…However, early studies suggest that a smartphone application in Parkinson disease can differentiate those with the disease from those without, be used to predict disease severity as assessed by traditional measures, and detect pharmacological effects of approved therapies [31]. In addition, where evidence of value has been generated [32-36], the US Food and Drug Administration has cleared some digital biomarkers for use [37, 38]. …”

Section: Opportunity For Digital Biomarkersmentioning

confidence: 99%

The First Frontier: Digital Biomarkers for Neurodegenerative Disorders

et al. 2017

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Current measures of neurodegenerative diseases are highly subjective and based on episodic visits. Consequently, drug development decisions rely on sparse, subjective data, which have led to the conduct of large-scale phase 3 trials of drugs that are likely not effective. Such failures are costly, deter future investment, and hinder the development of treatments. Given the lack of reliable physiological biomarkers, digital biomarkers may help to address current shortcomings. Objective, high-frequency data can guide critical decision-making in therapeutic development and allow for a more efficient evaluation of therapies of increasingly common disorders.

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“…Additionally, virtual visits using telemedicine can decrease burden on patients, improve patient recruitment; reduce variability in assessments and chances for missing data. Studies have shown that this technique is feasible and can offer similar benefits to that of in-person evaluations [92,93]. Although many of these devices compare favourably with the "gold standard" of assessments of motor function, the MDS-UPDRS, and can provide greater test-retest reliability and sensitivity to change than conventional clinical ratings [94], there are current limitations to such approaches.…”

Section: Minimising Variability / Error In Assessing Endpointsmentioning

confidence: 99%

Challenges in detecting disease modification in Parkinson's disease clinical trials

Athauda

Foltynie

2016

Parkinsonism & Related Disorders

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Despite the wealth of encouraging data from numerous compounds that demonstrate "neuroprotection" in pre-clinical studies of Parkinson's disease, and despite numerous clinical trials, to date, no intervention has been demonstrated to able to modify the course of disease progression.While this "failure to translate" is likely due to numerous factors including our incomplete understanding of the pathogenic mechanisms underlying PD together with excessive reliance on data from the toxin-based animal models of PD, here we will discuss the "structural issues" pertaining to inadequate clinical trial design, selection of inappropriate endpoints and poor patient selection which are often not addressed following failed disease modification trials. Future directions to overcome these challenges such as reducing the heterogeneity of patient cohorts,

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

Cited by 99 publications

References 18 publications

Objective and quantitative assessment of motor function in Parkinson’s disease—from the perspective of practical applications

Objective and quantitative assessment of motor function in Parkinson’s disease—from the perspective of practical applications

The First Frontier: Digital Biomarkers for Neurodegenerative Disorders

Challenges in detecting disease modification in Parkinson's disease clinical trials

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