Enhanced Integrated Sleep Diagnostic and Therapeutic System

Publication ID: 24-11857333_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Integrated Sleep Diagnostic and Therapeutic System,” Published Technical Disclosure No. 24-11857333_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857333_0001_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,333.

Summary of the Inventive Concept

An advanced sleep disorder treatment system that leverages AI-powered algorithms, real-time data analysis, and personalized therapy to improve sleep quality and reduce healthcare costs.

Background and Problem Solved

The original patent, 'Integrated sleep diagnostic and therapeutic system and method', addressed the limitations of traditional sleep disorder diagnosis and treatment methods. However, it had inherent limitations, such as limited data analysis capabilities, lack of real-time adjustments, and limited personalization. The new inventive concept solves these problems by introducing advanced data analytics, AI-powered algorithms, and real-time adjustments to provide more effective and personalized sleep disorder treatment.

Detailed Description of the Inventive Concept

The enhanced system comprises a data acquisition box with integrated sensors, including a respiratory effort belt sensor, pulse oximetry sensor, and a flow or pressure sensor. The sensors collect data on a subject's sleep patterns and transmit it wirelessly to a remote data storage station for real-time analysis. The system utilizes AI-powered algorithms to analyze the data, identify optimal pressure settings, and automatically adjust the pressure settings of a PAP or CPAP device in real-time. Additionally, the system includes a wearable sensor device that transmits data to a cloud-based platform, where it is analyzed by a machine learning algorithm to diagnose sleep disorders and provide personalized treatment recommendations. The system also includes a mobile application that provides personalized recommendations for improving sleep quality.

Novelty and Inventive Step

The new inventive concept introduces the use of AI-powered algorithms, real-time data analysis, and personalized therapy, which are not present in the original patent. The combination of these features provides a novel and non-obvious solution to the problem of sleep disorder treatment.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as EEG or ECG sensors, or the integration of the system with other healthcare devices, such as smart mattresses or wearable fitness trackers. Additionally, the system could be adapted for use in different settings, such as hospitals or clinics, or for use with different types of sleep disorders.

Potential Commercial Applications and Market

The enhanced sleep disorder treatment system has significant commercial potential in the healthcare industry, particularly in the sleep disorder treatment market, which is estimated to be worth over $150 billion per year. The system's ability to provide personalized and effective treatment, reduce healthcare costs, and improve patient outcomes makes it an attractive solution for healthcare providers, insurance companies, and patients.

Field of Art

Medical device technology, specifically sleep disorder diagnostic and therapeutic systems, requiring expertise in biomedical engineering, sensor technologies, wireless data transmission, and medical data analysis

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device specialist with advanced degree, knowledge of sleep disorder diagnostic technologies, experience with wireless sensor systems, data transmission protocols, and medical device integration

Obviousness Rationale

A PHOSITA would recognize that integrating AI-powered algorithms and real-time data analysis into existing sleep diagnostic systems represents a predictable technological advancement. The source patent's wireless sensor and data transmission framework provides a clear foundation for enhanced algorithmic processing and personalized treatment recommendations. The proposed variations represent logical extensions of existing technological capabilities in medical device monitoring and treatment optimization.

Obvious Combinations & Variations

Source Patent Element
Wireless data transmission between sensors and data acquisition system
PTD Variation
AI-powered real-time data analysis and automatic device setting adjustments
Obviousness Reasoning
Implementing machine learning algorithms for data interpretation is a known technique in medical device technologies, representing a predictable improvement to existing wireless monitoring systems
Source Patent Element
Multiple integrated sensors collecting sleep disorder diagnostic data
PTD Variation
Cloud-based platform for remote data analysis and personalized treatment recommendations
Obviousness Reasoning
Transitioning from local to cloud-based data processing is a standard technological progression with well-understood implementation strategies
Source Patent Element
PAP/CPAP device with adjustable pressure settings
PTD Variation
Automated pressure setting optimization using machine learning algorithms
Obviousness Reasoning
Algorithmic optimization of medical device parameters is a foreseeable enhancement for improving treatment precision and patient outcomes
Source Patent Element
Remote data transmission to medical personnel for review
PTD Variation
Mobile application providing personalized sleep quality recommendations
Obviousness Reasoning
Extending remote monitoring technologies to include patient-facing recommendation systems is an obvious design choice in medical technology
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857333, the claimed variations in sleep disorder diagnostic and therapeutic technologies would have been obvious to a person having ordinary skill in the art at the time of invention. The proposed system represents a straightforward combination of known wireless monitoring techniques, data transmission protocols, and machine learning algorithms, which would have been predictable to a skilled practitioner in medical device technologies.

Original Patent Information

Patent NumberUS 11,857,333
TitleIntegrated sleep diagnostic and therapeutic system and method
Assignee(s)Cleveland Medical Devices Inc.