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Instrumental Assessment of Motor Symptoms by Means of Wearable Sensors in Patients With Parkinson's Disease

NCT05349539 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2023-03-22

No results posted yet for this study

Summary

The clinical management of Parkinson's disease (PD) is frequently challenged by the occurrence of motor disorders and complications, such as freezing of gait, fluctuations and the ON-OFF phenomenon, primarily manifesting at home. Therapeutic decisions are usually based on periodic neurological examinations and patients' anamnestic experience collected in an outpatient setting, thus limited by several issues, including "recall bias" and subjective, semi-quantitative and operator-dependent evaluations in non-ecological settings. In the last two decades, new wearable technologies, consisting of "wireless" sensors (e.g., inertial, electromyography), have been widely applied to quantitatively assess movements in physiological and pathological conditions, even for prolonged periods in free-living settings (i.e., long-term monitoring). The aim of this study is to evaluate motor symptoms in patients with PD, such as bradykinesia, tremor, gait disturbances and balance disorders, objectively and quantitatively through the application of wearable sensors in intra- and extra hospital settings, also during common activities of daily living, in order to obtain ecological data possibly useful in the therapeutic management of the disease.

Conditions

  • Parkinson Disease
  • Motor Disorders

Sponsors & Collaborators

  • Neuromed IRCCS

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-06-01
Primary Completion
2022-12-21
Completion
2023-12-21

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05349539 on ClinicalTrials.gov