WEAN O₂

Wearable Enrichment AI-Enabled Neuro-Adaptive Oxygen Therapy

A nurse-led feasibility study to facilitate efficient post-respiratory illness recovery and improve discharge pathways.

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A Closed-Loop Respiratory Governor

WEAN-O₂ is a hybrid respiratory support platform designed to enhance post-respiratory illness recovery through intelligent, closed-loop oxygen and ventilation regulation. It functions as a closed-loop respiratory governor: predicting instability using a patient-specific digital twin, optimising oxygen delivery via breath-synchronised micro-dosing, and applying state-dependent neuromodulation to assist hypoventilation or entrain hyperventilation.

The system aims to stabilise PaO₂/PaCO₂ balance, reduce oxygen dependence, prevent deterioration and readmissions, improve discharge efficiency, and enhance patient independence and quality of life. Post-respiratory illness patients frequently experience delayed oxygen weaning, instability during discharge transition, recurrent admissions, and anxiety-related breathing dysfunction.

Modular Wearable Air Purification System

Five modular components connected in series, each independently replaceable and upgradeable.

WEAN O2 Modular Wearable Air Purification System - showing Air Intake, Oxygen Enrichment Chamber, Microbiome Filtration Unit, Cooling Fan Module, and Control & Battery Module
1

Air Intake

Ultrathin PDMS Filter

2

Oxygen Enrichment Chamber

Optional MOF / PDMS Composite

3

Microbiome Filtration Unit

Nanofiber Membrane with Antimicrobial Agents

4

Cooling Fan Module

USB Rechargeable

5

Control & Battery Module

Power & Control Unit

Five Integrated Mechanisms

MECHANISM 01

Preventive Detection of Respiratory Instability

Continuous sensing of SpO₂, respiratory rate, effort, heart rate and optional CO₂ detects early pre-decompensation patterns. A patient-specific digital twin forecasts risk of hypoventilation, hyperventilation, and deterioration before clinical thresholds are breached.

Clinical Effect: Earlier intervention, fewer late escalations, and improved stability during oxygen weaning.

MECHANISM 02

Micro-Dosed, Breath-Synchronised Oxygen Optimisation

Controlled oxygen enrichment and inspiratory micro-dosing improve oxygen efficiency per breath. FiO₂ rate limits protect CO₂ retainers and reduce oxygen waste while improving time-in-target SpO₂.

Clinical Effect: Increased time-in-target SpO₂ with reduced oxygen dependency and improved discharge readiness.

MECHANISM 03

Bidirectional Ventilatory Regulation via Neuromodulation

Phrenic stimulation assists hypoventilation by augmenting diaphragmatic contraction, and entrains hyperventilation by stabilising rhythm and reducing chaotic breathing patterns.

Clinical Effect: Stabilised ventilatory control across both ends of the CO₂ spectrum.

MECHANISM 04

Biosecurity and Airway Protection

HEPA and antimicrobial filtration reduce inhaled pathogen load and support resilience during respiratory outbreaks. Filter integrity is monitored through pressure-drop and remaining-life prediction.

Clinical Effect: Reduced infection risk and safer long-term wearable respiratory support.

MECHANISM 05

Safety Kernel and Graceful Degradation

Hard safety limits, signal integrity checks, and safe fallback modes ensure that automation cannot exceed clinician-defined boundaries. The system degrades safely under faults and prompts escalation when required.

Clinical Effect: Minimised risk of harm from automation with preserved human oversight.

From Pure Mathematics to Life Support

The same equations whose regularity we seek to prove are the equations that govern the oxygen separation process at the heart of WEAN O₂.

v_b = 2r²(ρ_l − ρ_g)g / 9μ_l

When a small gas bubble (radius r) forms at the anode surface, it experiences buoyant force and viscous drag. Using the simplified Stokes formula with a 20% potassium carbonate electrolyte (ρ_l = 1162 kg/m³, ρ_g = 1.42 kg/m³, μ_l = 0.0013 Pa·s) and r = 0.3–0.5 mm, the resulting terminal velocity is approximately 0.175–0.486 m/s.

This implies that for an anode depth of h = 0.05 m, the time required for a bubble to reach the fluid surface is on the order of 0.10–0.28 seconds — enabling rapid, gravity-assisted product self-separation without membranes or external circulation.

12-Month Research Plan

Imperial Health Charity / NIHR BRC Pre-doctoral Research Fellowship

Project PhaseM1M2M3M4M5M6M7M8M9M10M11M12
Project Setup & Governance
Benchtop Feasibility Testing
System Integration & Simulation
Clinical Usability Evaluation
Data Analysis & Synthesis
Dissemination & Next-Stage Planning

Specifications

Full NameWearable Enrichment AI-Enabled Neuro-Adaptive Oxygen Therapy
AcronymWEAN O₂
Study TypeNurse-Led Feasibility Study
Core TechnologyElectrochemical O₂ separation + AI-driven closed-loop delivery
O₂ EnrichmentElectrochemical pump with selective membrane (no compressor)
Sensing SuiteSpO₂ (PPG), Temperature, Blood Pressure (PTT), Respiratory Rate, IMU
NeuromodulationExternal phrenic nerve stimulation (bidirectional)
SafetyHard FiO₂ caps, CO₂ rebreathing avoidance, thermal limits, fail-safe ambient air
Fluid Dynamics BasisStokes flow equations governing buoyancy-driven O₂ bubble separation
Parent CompanyTalaStar Digital Health UK Ltd
Principal InvestigatorKristal Jane Apurado BSN, PHRN, USRN, UKRN