AI-Driven Cardiac HIIT Protocols With Sensor-Based Machine Control

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Solution Overview

Problem

Existing telemedicine systems lack the ability to conduct physical examinations of patients, relying solely on verbal communication and limited remote observation, which is inadequate for effective cardiovascular health management and rehabilitation.

Innovation Solution

A computer-implemented system using an electromechanical machine for high-intensity interval training (HIIT) sessions, equipped with sensors, that adjusts the training protocol in real-time based on measured thresholds to ensure safe and effective exercise.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If telemedicine systems rely solely on verbal communication and limited remote observation, then device complexity is reduced, but measurement precision and reliability of cardiovascular health management deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidcardiovascular measurement precision

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent replaces manual physical examination methods with automated sensor-based detection systems. Sensors mounted on the electromechanical machine automatically detect cardiovascular parameters (heart rate, blood pressure, oxygen saturation) during exercise, substituting the need for manual physical examination while significantly improving measurement precision and reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-monitoring of cardiovascular health during exercise through integrated sensors that automatically track and record physiological parameters. The electromechanical machine performs self-diagnosis and provides real-time feedback without requiring external medical intervention, improving both measurement capability and system efficiency.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If telemedicine systems conduct no physical examinations, then ease of operation is improved, but reliability of patient care deteriorates

Engineering Contradiction:

Improvesystem operation easeVSAvoidpatient care reliability

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

Physical examination functions are replaced by automated sensor systems integrated into the electromechanical exercise machine. The sensors continuously monitor cardiovascular parameters during exercise, providing reliable medical-grade measurements while maintaining the ease of remote operation characteristic of telemedicine systems.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements real-time feedback loops where sensor data from cardiovascular monitoring is immediately processed and used to adjust exercise parameters or alert healthcare providers. This continuous feedback mechanism ensures reliable patient care by enabling prompt response to abnormal physiological conditions while maintaining system ease of operation.

Inventive Principle:

Principle #23Feedback

3Device complexity

If fixed training protocols are used in telemedicine, then device complexity is reduced, but adaptability to individual patient needs deteriorates

Engineering Contradiction:

Improveprotocol management complexityVSAvoidtreatment plan adaptability

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The training protocol transitions from a static fixed program to a dynamic adaptive system. Sensors continuously monitor cardiovascular parameters during exercise, and the system automatically adjusts training intensity, duration, and type based on real-time physiological feedback. This enables personalized treatment plans that adapt to each patient's individual response and needs while managing complexity through automated control algorithms.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

Real-time physiological feedback from sensors during exercise enables automatic adjustment of training protocols. The system uses cardiovascular parameter data to dynamically modify exercise intensity and type, providing personalized adaptation to individual patient needs while maintaining manageable system complexity through algorithmic control.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12380984B2Systems and methods for using artificial intelligence and machine learning to generate treatment plans having dynamically tailored cardiac protocols for users to manage a state of an electromechanical machine

Publication Date: 2025.08.05 ROM TECH INC

AI summary

In one embodiment, a computer-implemented system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The treatment plan includes a high-intensity interval training (HIIT) session. A processing device is configured to initiate, using the electromechanical machine, the HIIT session, receive, via one or more sensors, one or more measurements pertaining to the electromechanical machine, determine whether the one or more measurements exceed one or more of one or more corresponding thresholds, and in response to determining that the one or more measurements exceed one or more of the one or more corresponding thresholds, modify the treatment plan to cause operation of the electromechanical machine to be modified.