Specifications

Technical Specifications and Telemetry Protocols

Physiological Timing and Data Transparency

Many commercial devices claim instantaneous, second-by-second continuous readings. However, biology and optical physics follow unyielding rules. To deliver genuine, indisputable data, the ring’s optical sensor requires specific time windows to analyze blood flow through the finger’s capillaries:

  • Oxygen Saturation (SpO2): Achieving an accurate reading requires approximately 35 seconds.

  • Heart Rate (BPM): Stabilizing the reading requires approximately 25 seconds.

OxyNotte does not fabricate artificial intermediate values to please the user. By combining these two physiological requirements, the system completes a robust data acquisition cycle approximately every minute. This provides an optimal temporal grid: fine-grained enough to capture rapid desaturation events while respecting the physical constraints of the optical sensor.

Managing Heart Rate Variability (HRV)

Heart Rate Variability (HRV) is a valuable parameter for assessing autonomic nervous system stress. However, processing HRV requires an additional 25 seconds. Leaving it permanently active would extend the acquisition cycle to 90 seconds.

For this reason, in OxyNotte, HRV is optional: the user or healthcare professional can choose between maximum temporal resolution (1-minute cycles for SpO2 and BPM) or deeper analytical insight.

Wireless Architecture and the Radar Index

Encrypted Bluetooth Low Energy (BLE) Network

The ring transmits data to the mobile device via the Bluetooth Low Energy (BLE) protocol operating on the 2.4 GHz frequency band. Purpose-built for IoT (Internet of Things) applications, this technology ensures minimal power consumption and native end-to-end data encryption during wireless transmission.

The Role of the Radar Index

Within the secure data stream, OxyNotte computes the Radar Index, an advanced metric that evaluates:

  1. In-Bed Micro-Movements: Detects signal fluctuations caused by shifts in posture. Since many apnea events occur specifically when sleeping in a supine position (on one’s back), tracking physical restlessness helps determine if positional factors are involved.

  2. Out of Range Status: Accurately logs instances when the user steps away from the receiver’s range (e.g., getting up during the night), maintaining complete transparency in the recording history.

Intelligent Sampling Strategy

  • Night Mode: Executes a Radar scan every 3 seconds, acting as a continuous seismograph capable of capturing every micro-arousal or movement.

  • Day Mode: For baseline readings at rest, the system optimizes hardware resources by logging the Radar status alongside standard data writes, ensuring movement tracking and radio coverage checks without unnecessary data overhead.

Cloud Architecture and Telemetry Assessment Station

Processing Raw Data

Data logged by the smartphone are securely uploaded to Telmetry Cloud servers in the form of unprocessed raw log files (Raw Data), completely free from commercial filtering algorithms or artificial smoothing.

In-depth clinical evaluation is performed on dedicated desktop workstations or notebooks via the Telemetry Assessment Station, providing healthcare professionals with:

  • Overlaid trend graphs for SpO2, BPM, and physical movement (Radar).

  • Automatic calculation of the Oxygen Desaturation Index (ODI) and estimated Apnea-Hypopnea Index (AHI).

  • Instant identification of minimum nocturnal oxygen levels.

Artificial Intelligence Integration and Clinical Validation

Structured raw data form a high-value knowledge base for epidemiological research and the training of Artificial Intelligence (AI) models, enabling the correlation of nocturnal breathing patterns with environmental variables and lifestyle factors.

Core Validation Principle: The OxyNotte system acquires and processes data, but it does not make autonomous clinical diagnoses. Any correlation, anomaly pattern, or report suggested by Artificial Intelligence is strictly designed to support—never replace—the evaluation, clinical analysis, and final decision of a qualified human medical professional.