Longitudinal
Capture patient data continuously across days, weeks, and months.
Remote Data Collection For
Depression & Anxiety Research
Spica brings together continuous physiological data from wearable sensors, patient-reported outcomes, and smartphone-based digital assessments in one research-ready platform.
Depression & anxiety are dynamic. Your data should be too.
Clinical assessments often capture a snapshot of a patient’s condition. Longitudinal digital data can reveal how symptoms, physiology, behavior, and cognition change over time; in real-world settings.
Multimodal
Combine physiological, behavioral, and patient-reported data.
Real-World
Collect data remotely while patients go about their everyday lives.
Research-Ready
Centralize heterogeneous data streams in one structured research environment.
From Data Collection to Research Insights
Data Collection
- ● Wearable Sensors
- ● EMA & Questionnaires
- ● Symptom Assessments
- ● Digital Tasks
Spica App
- ● Automated wearable data sync
- ● Scheduled EMA & questionnaires
- ● Smartphone-based cognitive & emotional tasks
- ● Secure remote data collection
Spica AI
- ● Multimodal data integration
- ● AI-powered physiological signal analysis
- ● Pattern & trajectory detection
- ● Digital biomarker generation
Spica Dashboard
- ● Real-time Study Monitoring
- ● Patient Engagement Tracking
- ● Multimodal Data Management
- ● Research Data Visualization
Data Collection
- ● Wearable Sensors
- ● EMA & Questionnaires
- ● Symptom Assessments
- ● Digital Tasks
Spica App
- ● Automated wearable data sync
- ● Scheduled EMA & questionnaires
- ● Smartphone-based cognitive & emotional tasks
- ● Secure remote data collection
Spica AI
- ● Multimodal data integration
- ● AI-powered physiological signal analysis
- ● Pattern & trajectory detection
- ● Digital biomarker generation
Spica Dashboard
- ● Real-time Study Monitoring
- ● Patient Engagement Tracking
- ● Multimodal Data Management
- ● Research Data Visualization
Wearables Powering Affective-Disorder Research
View All Supported Wearables →Spica integrates continuous and contextual data from wearable sensors and patient-reported inputs to build a unified clinical dataset.
Polar Health Trackers
- ● PPG, HR, HRV
- ● Activity, Steps
- ● Sleep, Temperature
- ● Accelerometry
Muse Headband
- ● EEG (up to 6 channels)
- ● PPG, HR, HRV
- ● Gyro
- ● Accelerometer
Compatible with a wide range of wearable devices to support flexible study and clinical needs.
Real-world Research Experience
View All Case Studies →SFB/TRR 393 Trajectories of Affective Disorders
Description:
A multi-institutional research program investigating trajectories of affective disorders through longitudinal and multimodal data collection.
Features:
- ● Smartphone-based data collection
- ● Wearable physiological sensors
- ● Emotional & cognitive tasks
- ● Patient & data management
Research Partners:
Interactive Therapy for Children with Anxiety Disorders
Description:
A research project exploring interactive therapy for children with anxiety disorders, supported by remote physiological data collection and real-time integration with digital therapeutic experiences.
Features:
- ● Remote physiological data collection
- ● Game integration
- ● Large-scale data acquisition
- ● Real-time data feedback
- ● Automated data upload
Research Partners:
Since March 2025
Explore KIKAN → 
Longitudinal data. Collected remotely. At scale.
Spica has supported the remote collection of more than 5,000 participant-days of depression data, enabling researchers to look beyond isolated clinical assessments and study patient trajectories over time.
Multiple Data modalities
Multi-institutional Research collaboration
Real-world Remote data collection
10,000+
Participant-days of depression data
Planning a depression or anxiety study?
Whether you’re designing a longitudinal observational study, clinical trial, digital intervention, or multimodal data collection protocol, our team can help you explore the right setup.
