Next-Generation Hemodynamic Monitoring Systems

Publication ID: 24-11857295_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Hemodynamic Monitoring Systems,” Published Technical Disclosure No. 24-11857295_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857295_0010_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. 11,857,295.

Summary of the Inventive Concept

A paradigm shift in non-invasive hemodynamic monitoring, enabling real-time, personalized, and predictive cardiovascular health metrics through advanced sensor arrays and machine learning algorithms.

Background and Problem Solved

The original patent disclosed connectors for medical equipment, specifically blood pressure cuffs, which have limitations in terms of accuracy, invasiveness, and real-time monitoring capabilities. The new inventive concept addresses these limitations by introducing advanced sensor arrays and machine learning algorithms to provide real-time, personalized, and predictive cardiovascular health metrics.

Detailed Description of the Inventive Concept

The next-generation hemodynamic monitoring system comprises a cuff with an integrated sensor array that detects changes in blood vessel diameter, a processing unit that calculates hemodynamic parameters, and a machine learning algorithm that analyzes the detected changes to provide personalized treatment recommendations. The system can be implemented as a wearable device, enabling real-time monitoring and prediction of cardiovascular events. The sensor array can be configured to detect various hemodynamic parameters, including blood pressure, cardiac output, and vascular resistance.

Novelty and Inventive Step

The new claims introduce a novel combination of advanced sensor arrays and machine learning algorithms to provide real-time, personalized, and predictive cardiovascular health metrics, which is not anticipated by the original patent. The inventive step lies in the integration of these components to enable a paradigm shift in non-invasive hemodynamic monitoring.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept include using different types of sensors, such as optical or electrical impedance sensors, or integrating the system with other medical devices, such as ECG or ultrasound machines. Variations of the system can be designed for specific applications, such as pediatric or geriatric care, or for use in different environments, such as ambulatory or hospital settings.

Potential Commercial Applications and Market

The next-generation hemodynamic monitoring system has significant commercial potential in the healthcare industry, particularly in the areas of cardiovascular disease prevention and management. The system can be marketed to hospitals, clinics, and healthcare providers, as well as to patients and consumers interested in personalized health monitoring and prevention.

Field of Art

Medical device engineering, specifically non-invasive hemodynamic monitoring systems, with expertise in sensor integration, physiological measurement techniques, and medical instrumentation design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, working knowledge of blood pressure measurement technologies, sensor arrays, and signal processing techniques, familiar with medical device miniaturization and diagnostic algorithm development

Obviousness Rationale

A PHOSITA would recognize that integrating advanced sensor technologies and machine learning algorithms into existing blood pressure monitoring systems represents a predictable technological progression. The fundamental approach of occluding blood flow and measuring physiological responses remains consistent with the source patent, while the proposed variations merely extend the core monitoring concept through known engineering techniques. The machine learning and sensor array additions represent incremental improvements that would be obvious to a skilled practitioner seeking enhanced diagnostic capabilities.

Obvious Combinations & Variations

Source Patent Element
Blood pressure cuff configured to occlude arterial blood flow
PTD Variation
Integrated sensor array within the cuff to detect blood vessel diameter changes
Obviousness Reasoning
Adding sensors to medical measurement devices is a known technique for expanding diagnostic capabilities, representing a predictable design enhancement with expected results
Source Patent Element
Medical connector system for hemodynamic parameter measurement
PTD Variation
Machine learning algorithm for analyzing detected physiological changes
Obviousness Reasoning
Applying computational analysis to medical sensor data is a standard approach for extracting advanced diagnostic insights, representing an obvious extension of existing monitoring technologies
Source Patent Element
Non-invasive patient monitoring device
PTD Variation
Wearable real-time hemodynamic monitoring system with wireless transmission
Obviousness Reasoning
Miniaturization and wireless connectivity are well-established trends in medical device design, representing a logical and predictable technological progression
Source Patent Element
Blood pressure measurement methodology
PTD Variation
Personalized cardiovascular risk prediction using multi-parameter sensor analysis
Obviousness Reasoning
Expanding diagnostic capabilities through comprehensive sensor data is a natural evolution in medical monitoring technologies, utilizing known signal processing and machine learning techniques
Source Patent Element
Medical equipment connector with specific geometric configurations
PTD Variation
Modular sensor array with adaptable configuration for different patient populations
Obviousness Reasoning
Designing medical devices with adaptable form factors is a standard engineering approach to address diverse clinical requirements, representing an obvious design variation
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857295 and the published technical disclosure, a person having ordinary skill in the art would find the proposed hemodynamic monitoring system variations obvious, as they represent predictable technological extensions employing known sensor integration, signal processing, and machine learning techniques within the established framework of non-invasive medical monitoring technologies.

Original Patent Information

Patent NumberUS 11,857,295
TitleConnectors for medical equipment
Assignee(s)WELCH ALLYN, INC.