Episodic Assessments
Clinical visits provide limited information and miss day-to-day variability.
Advancing Parkinson's Research Through
Real-World Multimodal Monitoring
Spica integrates wearable sensing, ecological momentary assessment (EMA), and validated digital motor tasks to enable high-resolution, longitudinal Parkinson's data collection beyond the clinic.
Real-World
Monitoring
Multimodal
Data
Research-Grade
Insights
The Challenge in Parkinson's Research
Parkinson's disease is highly heterogeneous and dynamic. Traditional clinical assessments capture only snapshots, making it difficult to understand real-world fluctuations and disease progression.
Lack of Continuous Data
Symptoms fluctuate throughout the day but are rarely continuously captured.
Limited Ecological Validity
Lab-based assessments do not reflect real-life behavior and environment.
Underrepresentation of Non-Motor Symptoms
Many important symptoms are underreported and undertreated.
Spica Platform: From Real Life to Research-Grade Data
Data Collection in Real World
Wearable Data · EMA Assessments · Digital Motor & Cognitive Tasks
Spica Mobile App (Patient Layer)
Task execution · EMA responses · Passive + active data synchronization
Spica Dashboard (Research Layer)
Multimodal visualization · Participant tracking · Advanced analytics & exportable datasets
Data Collection in Real World
Wearable Data · EMA Assessments · Digital Motor & Cognitive Tasks
Spica Mobile App (Patient Layer)
Task execution · EMA responses · Passive + active data synchronization
Spica Dashboard (Research Layer)
Multimodal visualization · Participant tracking · Advanced analytics & exportable datasets
Real-World Parkinson's Research in Leading Clinical Centers
Remote Data Collection Mobile App from Parkinsonian Patients.
Institutions:
hhu.
Study Features:
- Wearable monitoring (Polar 360)
- EMA-based symptom tracking
- Finger Tapping Task
Digital Task Library for Parkinson's Research
Explore Digital Task Library →Standardized and validated tasks for comprehensive motor and cognitive assessment.
Finger Tapping
Assess:
- ● Bradykinesia
- ● Motor Fatigue
- ● Motor Asymmetry
Spiral Drawing
Assess:
- ● Tremor Severity
- ● Tremor Frequency
- ● Motor Smoothness
Pinch & Zoom
Assess:
- ● Finger Dexterity
- ● Grip Control
- ● Coordination
Connect the Dots
Assess:
- ● Visual-Motor Integration
- ● Motor Planning
- ● Hand-Eye Coordination
Maze Challenge
Assess:
- ● Executive Function
- ● Planning
- ● Motor Execution
Frog Maze
Assess:
- ● Navigation Performance
- ● Cognitive-Motor Integration
Simultaneous Wearable + Task Data Collection
Spica synchronizes task performance with continuous physiological signals for a comprehensive view of Parkinson's disease.
Polar Health Trackers
- ● PPG, HR, HRV
- ● Activity, Steps
- ● Sleep, Temperature
- ● Accelerometry
Polar ECG Belt
- ● ECG
- ● HR, HRV
- ● Gyro
- ● Accelerometry
Movella (5 Synced Motion Sensors)
- ● 3-Axis Gyroscope
- ● 3-Axis Accelerometer
- ● 3-Axis Magnetometer
EMA & Symptom Tracking
Create fully customized questionnaires and schedules to capture what matters most in your study.
- ● Symptom Diaries
- ● Medication Tracking
- ● Quality of Life Assessments
- ● Daily Check-ins
- ● Clinical Outcome Measures
- ● Push Notifications
- ● Multi-Language Support
Parkinson's Data Insights & Analytics
-
Physiological analysis (HR, sleep, activity,...)
-
Motor performance metrics
-
Symptom variability + EMA analysis
-
Cross-modal correlation discovery
-
Longitudinal disease tracking
-
Event-based anomaly detection
Planning Your Next Parkinson Study?
Discover how Spica supports remote monitoring, digital biomarkers, and real-world evidence generation.
