Spica
Collect Raw Health Data Seamlessly
from Wearables, Smartphones, EMA, and Gamified Tasks
- Connect 10+ wearable sensors and smartphones
- Fully customizable workflows, tasks, and data streams
- Comprehensive dashboard for participant management & data analysis
Spica
Collect Raw Health Data Seamlessly
from Wearables, Smartphones, EMA, and Gamified Tasks
- Collect health data anytime, anywhere
- Compatible with leading wearable sensors
- Built for clinical and research excellence
Trusted by leading universities & research institutions
From real-world participation to research insight, Spica makes it effortless for everyone
All the health data you need, in one platform.
Beyond the Clinic: The Spica Journey
Seamless integration with leading wearables
Spica supports 10+ wearable sensors to capture research-grade physiological and behavioral data.
Our Trusted Partners
Beyond Sensors: Real-World Behavioral & Cognitive Measurement
Ecological Momentary Assessment (EMA): Real-Time Clinical Insight Beyond Memory
Key Features:
- Flexible scheduling: Configure EMA prompts at specific times or frequencies to match study protocols.
- Customizable questionnaires: Tailor prompts to measure symptoms, emotional and cognitive states, and daily context.
- Patient engagement: Motivate participants and improve adherence, ensuring high-quality longitudinal data.
Task Data:
- Scheduled time
- Start & end time
- Responses to each question
Wearable Data:
Finger Tapping Tasks: Objective Motor Assessment for Parkinson's Disease
How Finger Tapping Works in Spica
- Guided digital task: Standardized finger-tapping tasks with simple on-screen guidance on mobile
- High-precision measurement: Touch and motion sensors capture tapping with millisecond accuracy
- Repeatable and remote assessments: Tasks can be repeated over time to monitor motor changes and medication effects.
- Integrated analysis: Finger-tapping data syncs to the Spica dashboard and combines with other signals
Task Data:
- Tap coordinates (X, Y)
- Tap timestamp
- In/out-of-circle flag
Wearable Data:
Face Morph Task: Measuring Emotion Recognition in Real Time
Key Features:
- Measures: Emotion recognition speed and sensitivity to subtle emotional cues.
- Applications: Autism spectrum conditions, anxiety disorders, emotion regulation, and social cognition research.
- Visual Cue: Animated morphing face sequence displayed on a mobile device, with reaction-time indicators overlaid.
Task Data:
- Image filename per frame
- Patient choice (Left/Right)
- Reaction time
Wearable Data:
Affect Labeling Task: Real-Time Emotion Identification and Regulation
Key Features:
- Measures: Emotion identification accuracy and affective regulation performance.
- Applications: Trauma and stress research, affective neuroscience, and clinical intervention studies.
- Visual Cue: Central facial image displayed on a mobile device, surrounded by emotion labels, with the selected label highlighted.
Task Data:
- Face/image identifier
- Selected emotion label
- Response time
Wearable Data:
Monetary Gambling Task: Assessing Reward Sensitivity and Risk Behavior
Key Features:
- Measures: Reward sensitivity, risk preference, and decision-making under uncertainty.
- Applications: Addiction research, ADHD studies, neuroeconomics, and behavioral science investigations.
- Visual Cue: Interface showing safe vs risky choice buttons, with outcome feedback displayed as a graph or chart.
Task Data:
- Choice selection (safe vs risky)
- Reaction time per decision
- Win/loss outcomes and probability tracking
- Risk-taking variability across trials
Wearable Data:
Explore the Spica Platform
Spica App Modes: Tailored for Participants and Researchers
1. Research Mode: Your Study, Your Control
This mode gives researchers full control to customize tasks, schedule EMAs, control sensors, and track assessments in real-time or offline—ideal for multi-site studies and high-resolution data collection.
Workflow Highlights:
- Choose Wearables: Select from a wide range of validated sensors.
- Select Data Channels: Pick the physiological and behavioral streams you need.
- Real-Time Monitoring: Record, view signals live, and ensure data quality.
- Analyze & Replay: Export, visualize, and review data for research insights.
2. Standard Mode: Simple, Guided Monitoring for Patients
Designed for clinical use and everyday remote monitoring, this mode offers a smooth experience with routine check-ins, EMA prompts, wearable connectivity, and automatic background data collection.
Workflow Highlights:
- Automatic data capture: Wearable and smartphone signals collected in the background.
- Clinician notifications: Reminders, EMA prompts, and instructions delivered through the app.
- Effortless patient experience: Clean, guided interface.
Spica Dashboard
From Data Visualization to Insight — Every Step of the Way
The Spica Dashboard helps researchers and clinicians monitor, analyze, and understand multimodal data—turning complex datasets into clear, actionable insights.
- User-friendly data visualizations for aggregated metrics and longitudinal analysis.
- Interactive charts and dashboards to uncover trends, correlations, and variability.
- Clear, shareable insights that make complex data accessible to teams and stakeholders.
Your Study, Fully Under Control
Each study in Spica is managed through a dedicated dashboard, giving you an overview of progress, participation, and data quality—whether you're running a small pilot or a large multi-site trial.
Flexible Study Plans (Choose the setup that fits your research needs):
- Pilot: Ideal for feasibility studies and early validation.
- Regular: Designed for standard clinical and behavioral studies.
- Advanced: Built for complex, multi-site, high-resolution research.
Study Overview
At a glance, the dashboard gives you full visibility into your study's core elements:
- Participants: Track enrollment, activity status, compliance, and longitudinal participation.
- Tasks & Assessments: Assign cognitive, motor, behavioral, and EMA tasks with full scheduling control.
- Notifications & EMAs: Manage reminders, prompts, and instructions to ensure consistent engagement.
- Wearables & Data Streams: Monitor connected sensors, data channels, and signal availability in real time.
Create a Study
Standard Mode: Optimized for long-term, structured data collection in clinical and remote studies. Supports continuous multimodal recording, scheduled tasks and EMA, and secure cloud-based data management.
Research Mode: Designed for advanced protocols requiring real-time data streaming and live signal visualization. Enables immediate monitoring and interactive analysis during active sessions.
Standard Mode Workflow
- Participants: Select the number of participants and allocate cohorts according to your study design.
- Devices & Data Types: Choose plugins and define multimodal data streams (e.g. heart rate, HRV, motion, sleep).
- Tasks: Assign validated digital tasks (Face Morph, Affect Labeling, Monetary Gambling) with one-time or recurring scheduling.
- Rewards: Configure incentives and compensation to support engagement and adherence.
Research Mode Workflow
- Participants: Select the number of participants and allocate cohorts dynamically for your study.
- Plugins & Data Streams: Choose devices and data types to capture in real time, with live monitoring and streaming.
Participants
Manage and monitor participants with full visibility across the study lifecycle. The Participants section provides real-time insights into enrollment, engagement, and data completeness.
Key Features:
- Centralized participant management across cohorts and study sites
- Real-time status tracking (active, inactive, completed)
- Compliance & adherence monitoring with clear participation metrics
- Longitudinal participant views to follow individual progress over time
Designed for both small pilot studies and large, multi-site clinical research.
Notifications
Keep participants engaged with timely, targeted communication. Notifications allow researchers to guide participants without disrupting daily routines.
Key Features:
- EMA prompts and reminders for tasks, surveys, and check-ins
- Custom messages tailored to study phases or participant groups
- Scheduled or event-triggered notifications
- Improved adherence through subtle, consistent engagement cues
All communication is logged and traceable for full study transparency.
Task Assignments
Assign, schedule, and manage tasks with precision. The Task Assignments section gives you full control over what participants do, when they do it, and how often—without manual intervention.
Key Features:
- Deploy tasks from validated task libraries or custom-built tasks
- Flexible scheduling (one-time, recurring, or adaptive)
- Participant- or group-level assignment
- Remote updates without app reinstallation
From cognitive and motor tasks to EMAs and sensor-based assessments, Spica ensures tasks are delivered reliably and consistently.
Patient Engagement Page: Boost Participation and Data Quality
Spica's Patient Engagement Page transforms passive participation into an interactive, motivating experience, helping patients stay engaged while improving the quality and completeness of collected data.
Key Benefits:
- Personalized Progress Feedback: Clear summaries and trend insights help patients understand their contributions and stay motivated.
- Meaningful Data Visualizations: Intuitive, easy-to-read graphs encourage consistent sensor use and study participation.
- Higher Adherence & Data Completeness: Continuous feedback and subtle engagement cues drive more reliable and complete datasets.
Impact:
A more connected patient experience, improved compliance, and higher-quality data for clinicians and investigators.
Spica Task Library: Ready-to-Use Research Tools
Spica offers a curated library of validated tasks designed for specific research topics, making study setup faster and ensuring high-quality, multimodal data collection.
Featured Task Collections for:
Finger Tapping Test (FTT):
Measures motor speed, fatigue, and timing variability. Reduced tapping speed and increased variability are classic PD signs, making it useful for sensitive long-term monitoring.
Pinch-and-Zoom Task:
Assesses fine motor control, grip force regulation, finger independence, and coordination between hands—subtle deficits often seen in PD.
Watch Video →
Connect-the-Dots Task:
Evaluates hand-eye coordination, motor planning, attention, and movement smoothness. It captures whole-arm movement abnormalities such as rigidity and bradykinesia.
Maze Challenge (Tilt-Based Task):
Measures motor precision, tremor, and movement stability. It detects involuntary movements and tracks variability and medication effects over time.
Watch Video →
