Technology Overview: Integrated Optical Fibre Sensor System for Sleep-disordered Breathing

This document outlines the key features and technical specifications of an innovative healthcare monitoring technology designed to address critical challenges in monitoring sleep-disordered breathing, particularly Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS), and other vital signs in vulnerable populations.

Key Features

• Sensing Mechanism: Utilises special optical fibres with a core diameter approximately 1/10th the thickness of human hair. These fibres detect minute deformations caused by respiratory motion, heartbeat, body movements, and positional changes. Light propagation changes are captured and transmitted to a signal processing unit for cloud-based analysis.
• Backend Platform Architecture: The cloud infrastructure processes sensor data using graphic recognition technology and machine learning models. It provides automated extraction of respiratory and heart rates, sleep states, bed occupancy status, and movement patterns with high accuracy.
• Clinical Validation: Demonstrates 95% specificity and 93% sensitivity for OSAHS diagnosis compared to traditional Polysomnography (PSG), with strong correlation for vital signs measurements.
• User-friendly Reporting: Generates automated health reports in multiple formats (PDF, Excel), maintains personalised health profiles, provides medication reminders, and triggers emergency alerts. Smartphone applications offer real-time monitoring dashboards and historical trend analysis.
• Non-intrusive and Contact-free: Perfectly suited for use in nursing homes, assisted living facilities, hospitals, and home environments, especially beneficial for populations where sensor cooperation is challenging.

Technical Specifications

• Sensor Dimensions: 61-81 cm in length, 1.5-1.8 cm in thickness, and weighing 1-2 kg.
• Optical Wavelength: Typically 645 nm.
• Bandwidth: Greater than 10 Hz.
• Force Sensitivity: 2.2-4.5%/N resolution.
• Compatible Mattress Thickness: 5-40 cm.
• Data Transmission: Supports Wi-Fi and cellular connectivity.
• Platform Features: Includes cloud data storage, multi-user access controls, API integration for electronic health records, and configurable alert systems.

Unique Value Proposition

• Intelligent Automation: Deep learning algorithms automatically identify clinically significant events, generate diagnostic reports, and enable predictive warnings, eliminating the need for manual data review.
• Multi-parameter Surveillance: Simultaneously monitors multiple vital signs from a single sensor infrastructure, providing comprehensive analytics across facilities.
• Healthcare Efficiency: Reduces staff workload with zero patient contact, overcoming compliance barriers across vulnerable populations.
• Scalability: Cloud architecture enables facility-wide deployment with centralised monitoring dashboards and seamless electronic health record integration.
• Safety Profile: Zero electromagnetic radiation, electrical isolation, heat resistance, and waterproof operation ensure safe 24/7 deployment.