Wearables Integrations
Connect with more than +10 leading wearable technologies.
Collect:
- ● ECG, EEG
- ● HR, HRV, PPG
- ● EDA
- ● Acc, Temp
- ● ...
One Platform for Multimodal Remote Health Research
Collect, synchronize, and analyze multimodal health data from wearables, smartphone assessments, Ecological Momentary Assessments (EMA), questionnaires, and AI-powered analytics; all within a single research platform designed for modern clinical studies.
August 3–5, 2026
Vienna, Austria
Booth:
Live Scientific Presentation
Monday | 14:45–15:45 PM
Remote Multimodal Data Collection: Experiences from Real-World Affective Disorder Monitoring
Tuesday | 17:05–18:20 PM
Multimodal Remote Data Collection via Wearables, EMA, and Smartphone Tasks in Psychiatry
Modern clinical research requires much more than wearable data. Today's studies combine physiological signals, patient-reported outcomes, ecological momentary assessments, cognitive testing, passive smartphone sensing, and advanced analytics.
Spica brings all of these together into one integrated research ecosystem.
Collect comprehensive real-world data through wearables, EMA, and gamified cognitive tasks.
Engage participants and seamlessly synchronize all study activities through one mobile application.
Transform multimodal data into meaningful insights using advanced AI and machine learning models.
Monitor participants, manage studies, and explore multimodal data through an intuitive research dashboard.
Collect comprehensive real-world data through wearables, EMA, and gamified cognitive tasks.
Engage participants and seamlessly synchronize all study activities through one mobile application.
Transform multimodal data into meaningful insights using advanced AI and machine learning models.
Monitor participants, manage studies, and explore multimodal data through an intuitive research dashboard.
Connect with more than +10 leading wearable technologies.
Collect:
Capture participants' experiences in real time.
Features:
Design, customize, and deploy research questionnaires without coding.
Features:
Engaging smartphone tasks for objective behavioral assessment.
Tasks:
A unified app for participant engagement, wearable connectivity, and data collection.
Features:
Manage every aspect of your study.
Features:
Advanced machine learning models deliver automated sleep staging using wearable data.
We integrate with leading wearable technologies.
See how leading institutions use Spica in real-world studies.
Supporting longitudinal Parkinson's research through multimodal remote data collection using wearables, mobile assessments, and continuous physiological monitoring.
Highlights:
Powering a large-scale DFG-funded research initiative with smartphone-based assessments, wearable integration, and multimodal data collection across 24 collaborative projects.
Highlights:
Investigating the relationship between neural and physiological signals using synchronized wearable monitoring, sleep EEG, and multimodal analytics in real-world environments.
Highlights:
Spica supports a wide range of research domains.
Neuroscientist & CEO
Virgobit
Live Scientific Presentation
Monday | 14:45–15:45 PM
Remote Multimodal Data Collection: Experiences from Real-World Affective Disorder Monitoring
Tuesday | 17:05–18:20 PM
Multimodal Remote Data Collection via Wearables, EMA, and Smartphone Tasks in Psychiatry
Researchers selected for our pilot program will receive access to the Spica + Polar package to accelerate their next study.
Includes: