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THERAPEUTIC EXPERTISE

Solutions for Parkinson's Disease & Huntington's Disease Research

Drug development for movement disorders like Parkinson’s disease (PD) and Huntington's disease (HD) has been challenging. Continuous, objective data from digital health technologies (DHTs) can address gaps in current measures by providing critical information needed to enhance study design and detect treatment 

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Opportunities with Digital Endpoints

  • Accurate and sensitive measures of fluctuations and variability in disease symptoms
  • Accelerate clinical development timeline
  • Identify or stratify target patient population
  • Complement patient & clinician-reported outcomes
  • Demonstrate patient-centric benefits

Selected Digital Endpoints in PD and HD

Cardinal Symptoms

  • Bradykinesia Score (BKS)
  • Active BKS
  • Percent Time Bradykinesia
  • Early Morning Bradykinesia
  • Dyskinesia Score
  • Percent Time Tremor
  • Fluctuation and Dyskinesia Score

Gait & Mobility

  • Stride Measures 
  • Walking Bout Measures

Sleep

  • Total Sleep Time
  • Wake After Sleep Onset (WASO)
  • Sleep Architecture
  • Percent Time Immobile 
    (Surrogate marker of daytime sleep)
Cardinal Symptoms
  • Bradykinesia Score (BKS)
  • Active BKS
  • Percent Time Bradykinesia
  • Early Morning Bradykinesia
  • Dyskinesia Score
  • Percent Time Tremor
  • Fluctuation and Dyskinesia Score
Gait & Mobility
  • Stride Measures 
  • Walking Bout Measures
Sleep
  • Total Sleep Time
  • Wake After Sleep Onset (WASO)
  • Sleep Architecture
  • Percent Time Immobile 
    (Surrogate marker of daytime sleep)

Parkinson’s Disease Digital Endpoint Guide

To learn more about opportunities with wearable digital health technologies in Parkinson’s disease clinical trials, download our full guide.

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Cardinal Symptom Monitoring

In Parkinson’s disease and Huntington's disease, cardinal symptoms such as bradykinesia, dyskinesia, tremor, and chorea can be highly variable over time and between individuals. Continuous, real-world data from low-burden wearables enables objective and sensitive measures to adequately capture symptom fluctuations and progression over time.

ActiGraph has partnered with PKG Health to enable researchers to capture data passively and remotely for accurate, real-world measures of cardinal symptoms as well as gait and sleep metrics. Leverage high-fidelity, precise digital data collected with our end-to-end digital health solution to make informed, data-based decisions and demonstrate patient-centered benefits.

Key Features and Benefits:

  • Clinically validated algorithms for digital measures of cardinal PD symptoms
  • FDA-cleared, medical-grade wearables
  • Passive, remote data collection and transfer
  • Advanced participant adherence monitoring
View Algorithms and Measures

Digital Health Monthly Webinar

Listen to experts from Neuron23, PKG Health, and ActiGraph discuss the unique challenges of PD R&D, share the current state-of-the-art DHT solutions and outline how digital measures can help advance treatments for this group of patients.

Active Assessments

Digital health technologies can more accurately assess daily patient function in PD and HD clinical trials, increasing the sensitivity of outcome measures. Through ActiGraph’s partnership with Indivi, researchers can also collect active digital measures of motor and non-motor symptoms more frequently for a comprehensive view of patients’ capacity, perception, and performance.

Watch our recent webinar with Indivi to learn more details about the opportunity to collect more sensitive assessments in movement disorder research and drug development with active and passive DHT monitoring.

 

Experience in Neurology Trials

62
trials
4,751
participants
44
countries
1,517
sites
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