A self-regulating oxygen delivery system for COPD

Abstract

A self-regulating oxygen delivery system (100) for COPD, comprising: an oxygen source designed to provide medical oxygen; a sensor module configured to record physiological parameters such as oxygen saturation (SpO2), respiratory rate and pulse rate; a microcontroller-based control unit that is functionally connected to the sensor module and the oxygen source; and an intelligent flow control mechanism controlled by the microcontroller, the system automatically adjusts the oxygen flow in real time based on the recorded physiological parameters to maintain optimal oxygen saturation levels.

Description

[0001] The present invention relates to medical respiratory aids, in particular a self-regulating oxygen supply system designed for patients with chronic obstructive pulmonary disease (COPD) and other respiratory diseases.

[0002] Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disease characterized by restricted airflow and reduced oxygen exchange, often requiring long-term oxygen therapy. Conventional oxygen delivery systems—such as oxygen cylinders, concentrators, and nasal cannulas—typically operate at a fixed or manually adjustable flow rate that does not adapt to the patient's fluctuating oxygen needs throughout the day. Patients' oxygen requirements vary depending on physical activity, sleep, stress, and disease progression. Fixed-flow systems can therefore lead to two major problems: hypoxia (insufficient oxygen supply) when needs increase and hyperoxia (excess oxygen) when needs decrease. Both conditions can have serious physiological consequences, including tissue damage and reduced therapy effectiveness.Existing solutions such as pulse dosing systems and manually adjustable controllers offer limited responsiveness and rely either on patient intervention or simple mechanical feedback mechanisms that do not continuously monitor vital signs. Furthermore, the lack of real-time feedback control in most conventional systems limits their efficiency and patient safety. Accordingly, there is a need for a self-regulating oxygen delivery system capable of automatically sensing, analyzing, and adjusting oxygen flow in real time based on physiological signals such as oxygen saturation (SpO2), heart rate, and breathing patterns. Such a system would ensure optimal oxygen delivery, reduce the user's reliance on manual control, conserve oxygen, and improve the overall quality of life for COPD patients.

[0003] To solve this problem, the present invention offers a self-regulating oxygen supply system for COPD.

[0004] The system aims to provide an automatic and intelligent oxygen delivery mechanism that adjusts the oxygen flow in real time based on the patient's physiological conditions, such as oxygen saturation (SpO2) and respiratory rate.

[0005] The system is designed to eliminate the need for patients or caregivers to manually adjust the oxygen flow, thereby improving comfort and reducing the risk of improper oxygen administration.

[0006] The system is designed to maintain optimal oxygen levels in the patient's blood through continuous monitoring of vital parameters and dynamic adjustment of oxygen supply.

[0007] The system is designed to prevent both hypoxia and hyperoxia and to ensure safe and efficient oxygen therapy under different activity levels and environmental conditions.

[0008] The system aims to conserve oxygen resources by delivering oxygen only when needed and in the correct amount, thus extending the lifespan of portable oxygen cylinders or concentrators.

[0009] The system is designed to improve patient comfort and mobility by integrating compact, lightweight, and portable sensors and control units.

[0010] The system is designed for remote monitoring and data collection, allowing medical professionals to track patients' oxygen consumption habits and adjust treatment plans accordingly.

[0011] The system aims to integrate intelligent control algorithms such as fuzzy logic or machine learning-based decision models to dynamically adapt the oxygen flow to the patient's changing physiological state.

[0012] The system is designed to improve therapy adherence and safety through automatic warnings and notifications in case of abnormal oxygen levels or device malfunctions.

[0013] The system is designed to support continuous and adaptive therapy for COPD and other respiratory diseases, and to offer a personalized approach to long-term oxygen management.

[0014] In one embodiment, the present invention provides a self-regulating oxygen delivery system for COPD. The present invention discloses a self-regulating oxygen delivery system designed to provide intelligent and adaptive oxygen therapy to patients with chronic obstructive pulmonary disease (COPD) and associated respiratory conditions. The system continuously monitors the patient's physiological parameters—such as oxygen saturation (SpO2), respiratory rate, heart rate, and activity level—to dynamically control the oxygen flow rate delivered to the user. The system comprises an oxygen source (such as a concentrator or cylinder), a sensor module (for SpO2 and respiratory detection), a microcontroller-based control unit, and an intelligent flow regulator or proportional valve.The sensor module transmits real-time data to the control unit, which processes the information using feedback control algorithms or machine learning models to determine the optimal oxygen flow rate. The flow controller then automatically adjusts the oxygen supply to maintain the desired SpO2 range, thus ensuring effective and safe therapy.

[0015] In one embodiment, the system includes a wireless connection (e.g., Bluetooth, Wi-Fi, or IoT protocols) to enable remote monitoring by healthcare providers and caregivers. Data relating to oxygen consumption, saturation trends, and device performance can be stored or transmitted to a cloud-based platform for analysis and long-term storage. The invention offers significant advantages over conventional oxygen therapy systems because it automates oxygen regulation, reduces manual intervention, conserves oxygen supply, and improves patient comfort and mobility. The intelligent control mechanism ensures continuous optimization of oxygen delivery according to individual patient needs, thereby improving overall treatment efficiency, safety, and quality of life.

[0016] The invention is explained again below with reference to the figure. This shows: Fig. : a self-regulating oxygen delivery system (100) for COPD.

[0017] Fig.The present invention discloses a self-regulating oxygen delivery system (100) for COPD. The invention is designed to intelligently adjust the oxygen flow based on the patient's real-time physiological needs, particularly for individuals suffering from chronic obstructive pulmonary disease (COPD) and other respiratory diseases. The system (100) comprises an oxygen source (e.g., a concentrator or a cylinder), a sensor module for monitoring oxygen saturation (SpO2), pulse rate, and respiratory rate, a microcontroller-based control unit, and an intelligent flow control mechanism with a proportional solenoid valve or a stepper motor-driven valve.The sensors continuously monitor the patient's oxygen levels and transmit the data to the control unit, which processes it using feedback algorithms – such as PID, fuzzy logic, or machine learning models – to determine and regulate the optimal oxygen flow rate. This ensures that the patient receives sufficient oxygen while preventing both hypoxia and hyperoxia under varying activity or environmental conditions.

[0018] During operation, the control unit automatically increases the oxygen flow when the measured oxygen saturation falls below a preset threshold and reduces the flow when it exceeds the threshold to conserve oxygen and ensure safety. The system (100) can also integrate wireless communication modules such as Bluetooth, Wi-Fi, or IoT connectivity to transmit data to a mobile application or cloud platform for remote monitoring by healthcare providers. Additional features include a display interface for real-time feedback, a rechargeable power supply for portability, and data logging capabilities for long-term therapy analysis. This intelligent and adaptive system enhances patient comfort, reduces manual intervention, and ensures continuous, efficient, and personalized oxygen therapy. Reference symbol list 100 System

Claims

[1] A self-regulating oxygen delivery system (100) for COPD, comprising: an oxygen source designed to provide medical oxygen; a sensor module configured to record physiological parameters such as oxygen saturation (SpO2), respiratory rate and pulse rate; a microcontroller-based control unit that is functionally connected to the sensor module and the oxygen source; and an intelligent flow control mechanism controlled by the microcontroller, the system automatically adjusts the oxygen flow in real time based on the recorded physiological parameters to maintain optimal oxygen saturation levels. [2] System (100) according to claim 1, wherein the sensor module comprises a non-invasive pulse oximeter and a respiratory sensor configured to enable continuous monitoring of patient data. [3] System (100) according to claim 1, wherein the microcontroller-based control unit uses one or more control algorithms selected from proportional-integral derivative control (PID control), fuzzy logic control or machine learning models to regulate the oxygen flow rate. [4] System (100) according to claim 1, wherein the intelligent flow control mechanism comprises a proportional solenoid valve or a stepper motor-driven valve configured to dynamically adjust the oxygen flow rate according to the control signals from the microcontroller. [5] System (100) according to claim 1, wherein the oxygen flow rate is automatically increased when the SpO2 value falls below a preset threshold and decreased when it exceeds the desired range, thereby preventing both hypoxia and hyperoxia. [6] System (100) according to claim 1, wherein the control unit is configured to receive additional input parameters, including patient movements, activity level or environmental conditions, to dynamically optimize oxygen supply. [7] System (100) according to claim 1, further comprising a display and user interface module configured to display real-time data such as oxygen saturation, flow rate, battery status and warning messages. [8] System (100) according to claim 1, wherein the system comprises wireless communication means such as Bluetooth, Wi-Fi or IoT connectivity for remote monitoring and data transmission to a mobile device or a cloud-based platform. [9] System (100) according to claim 1, further comprising a data logging and storage function for recording the patient's oxygen consumption, SpO2 trends and device performance over time. [10] System (100) according to claim 1, wherein the control unit is configured to trigger automatic warnings or notifications when abnormal oxygen levels, sensor interruptions or system malfunctions are detected.

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