SlimIoT: Shaping the Future of Health Monitoring Through Intelligent Wearables

WHITEPAPER

Technology Architecture: From Signal to Insight in Real Time

SlimIoT’s innovation lies in its full-stack integration of hardware, firmware, edge computing, and cloud analytics, enabling a seamless flow of real-time health intelligence from body to caregiver.

Our modular architecture powers multiple form factors—rings, patches, garments, or beds—through a consistent, proprietary core that includes advanced sensors, intelligent firmware, and scalable data platforms. Each layer plays a critical role in ensuring accuracy, responsiveness, and usability.

Layer 1: Sensor Input

We begin with clinical-grade biosensors, carefully selected for signal fidelity, power efficiency, and miniaturization. These include:

• Optical sensors for heart rate and blood oxygenation

• ECG electrodes for cardiac rhythm and stress response

• Pressure or acoustic sensors for respiration and snoring

• Temperature and motion sensors for context-rich data

These sensors are embedded into rings, garments, beds, or handheld devices with minimal intrusion and maximum comfort.

Layer 2: Analog & Digital Processing Core

Our devices utilize custom analog front-end (AFE) ICs that capture weak bio-signals with high resolution. These are coupled with:

• Microcontroller units (MCUs) for real-time data processing

• Power-efficient firmware that filters motion artifacts and baseline noise

• Smart algorithms to detect anomalies, trigger alerts, and store clean data

Layer 3: Communication Layer

Each device features wireless modules such as:

• Bluetooth Low Energy (BLE) for real-time, battery-friendly sync

• Wi-Fi and NFC for higher data throughput and interoperability

• Offline storage with auto-sync upon reconnection for remote scenarios

This enables flexible deployment across offline villages, hospital wards, or high-speed environments.

Layer 4: Edge Intelligence

Our firmware integrates edge AI capabilities where applicable, especially in Plawat, Sensabit, and Dozemate, allowing for:

• Local anomaly detection

• Instant alerts based on predefined thresholds

• Minimal latency and bandwidth use

This enables smarter devices that respond even when disconnected from the internet.

Layer 5: Cloud Platform & Machine Learning

The SlimIoT cloud layer provides:

• Secure storage of historical and real-time data

• Pattern recognition and AI-based risk scoring

• PDF report generation and remote consultation integration

• API-based access for hospitals, research partners, and OEM collaborators

Layer 6: User Interfaces & Dashboards

All data is surfaced through:

• SlimIoT mobile apps for individuals and caregivers

• Web dashboards for healthcare teams or institutional clients

• Alerts, insights, and recommendations tailored to user context

• Optional integration with EMR/HMS platforms via API

This end-to-end technology pipeline forms the backbone of all SlimIoT products, allowing us to scale across form factors, demographics, and geographies—from wearable rings to smart beds to garment-integrated care systems.