Myome: Implementation Guide - Part 9 of the Technical Series

9. Implementation Guide

Myome is designed as a modular, extensible open-source platform. The reference implementation comprises:

Core Components

Data ingestion service - Python/TypeScript, supports 20+ sensor APIs
Time-series database - TimescaleDB (PostgreSQL extension) for efficient temporal queries
Analytics engine - Python (NumPy, SciPy, scikit-learn, XGBoost) for correlation and prediction
Web dashboard - React + D3.js for interactive visualizations
Mobile apps - React Native for iOS/Android
API server - FastAPI (Python) or Node.js/Express for third-party integrations

System Requirements

Client device - Any smartphone or computer (local-first architecture)
Storage - ~500 MB for application, ~5 GB for lifetime health data
Compute - Modest requirements; analytics run incrementally, not batch
Network - Intermittent connectivity sufficient (offline-first design)

Quick Start

# Clone repository
            git clone https://github.com/myome/myome-core.git
            cd myome-core

            # Install dependencies
            pip install -r requirements.txt
            npm install

            # Initialize local database
            python scripts/init_database.py

            # Start services
            docker-compose up

            # Access dashboard at http://localhost:3000

Adding New Sensors

To integrate a new sensor or testing service, implement the HealthSensor interface:

# myome/sensors/new_device.py

            from myome.core import HealthSensor, Measurement, SensorType

            class NewDeviceAdapter(HealthSensor):
                type = SensorType.HEART_RATE  # or appropriate type

                def __init__(self, api_key):
                    self.api_key = api_key
                    self.client = NewDeviceAPI(api_key)

                async def connect(self):
                    await self.client.authenticate()

                async def stream_data(self):
                    async for reading in self.client.stream():
                        yield Measurement(
                            timestamp=reading.time,
                            value=reading.hr,
                            unit='bpm',
                            confidence=0.95  # device-specific
                        )

                async def get_historical(self, start, end):
                    return await self.client.query(start, end)

Data Export and Portability

Myome prioritizes data portability to prevent vendor lock-in: