Breathe Smart
ANASA® Digital Platform & Cloud Infrastructure
Powering clinical respiratory research through an edge-to-cloud software platform built on Google CloudANASA® combines high-precision respiratory sensing hardware with a growing digital research platform that enables device management, participant mapping, dataset organization, and AI-driven respiratory analytics.
Phase 1: High-Precision Edge Intelligence (Available Now)
Our current software stack is designed for extreme data integrity and "Security-by-Design." We utilize powerful edge clients to handle high-fidelity raw signals before they are centralized for analysis.
ANASA® Mobile Gateway
The bridge between the patient and the cloud.
Cloud-Integrated Storage: The mobile app facilitates NFC-based participant mapping, with metadata and session logs stored via Google Cloud SQL or Cloud Storage Buckets for immediate researcher oversight.
NFC Provisioning: Simplifies hardware-to-patient mapping in clinical settings, ensuring data lineage is preserved from the first second of recording.
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ANASA® Research Dashboard
A sophisticated desktop client designed for large-scale clinical studies requiring sub-millisecond data precision.
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Hybrid Synchronization Protocol: Achieves sub-4ms precision across device fleets using a proprietary algorithm.
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Robust Data Extraction: Utilizes chunking and smart resume features to ensure 100% data reliability over serial connections, preventing data loss during multi-gigabyte offloading.
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Fleet Control: Simultaneous management of multiple loggers, providing researchers with automated synchronization, firmware flashing, and structured dataset organization.
AI Support Layer (Vertex AI & RAG)
We have already deployed an intelligent support ecosystem on Google Cloud to assist researchers in real-time.
Intelligent RAG Architecture: Our technical support bot utilizes Vertex AI Search and Retrieval-Augmented Generation (RAG) to provide instant technical guidance.
Data Pipeline: We use Cloud Functions to automate data synchronization between Google Drive, Cloud Storage Buckets, and the Vertex AI indexing service.
Analytical Backbone: BigQuery stores and queries all conversation histories for continuous model improvement, while Dialogflow handles the conversational deployment and intent mapping.
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Phase 2: Cloud-Native Scaling (Active Development)
As we move toward multi-center clinical trials, we are transitioning from local file management to a fully integrated Google Cloud Data Lake.
Cloud Ingestion: Automated pipelines using Cloud Run and Pub/Sub will ingest multi-modal data streams (IMU, Respiration, and Audio) from the Mobile Gateway.
Audio Intelligence: Utilizing Google Speech-to-Text for automated transcription and language recognition of respiratory-related audio logs, enabling deeper context for clinical events.
Researcher Web Portal: A centralized, web-based version of our Fleet Manager hosted on Google Kubernetes Engine (GKE), allowing principal investigators to monitor global study progress in real-time.
