AI-Guided HIIT Cardiac Protocols With Sensor Feedback Adaptation

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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 comprehensive healthcare delivery, especially in cardiovascular and other health conditions.

Innovation Solution

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

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If telemedicine systems use only verbal communication and limited remote observation, then device complexity is reduced, but measurement precision and reliability of patient assessment deteriorate

Engineering Contradiction:

Improvetelemedicine system complexityVSAvoidpatient assessment accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent replaces manual physical examination techniques with automated sensor-based measurement systems. Sensors embedded in the electromechanical machine automatically capture physiological data (heart rate, respiratory rate, range of motion, force applied), eliminating the need for manual assessment while significantly improving measurement precision and reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces sensors and measurement devices as intermediary elements between the patient and the telemedicine system. These intermediaries continuously monitor physiological parameters and transmit data to the processing device, enabling precise remote assessment without requiring the healthcare professional to be physically present for manual examination.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If treatment plans are static and not adapted in real-time, then device complexity is reduced, but adaptability to individual patient needs deteriorates

Engineering Contradiction:

Improvetreatment plan management complexityVSAvoidtreatment plan customization

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent transforms static treatment plans into dynamic, adaptive protocols. The processing device continuously receives real-time sensor data and automatically adjusts treatment parameters (intensity, duration, frequency) based on the patient's physiological response, making the treatment plan flexible and responsive to individual needs without requiring manual intervention.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent implements closed-loop feedback control where sensor measurements of patient physiological status are continuously fed back to the processing device. This feedback mechanism enables automatic real-time adjustment of the electromechanical machine's operation to maintain optimal treatment conditions, significantly improving adaptability while managing complexity through automation.

Inventive Principle:

Principle #23Feedback

3Reliability

If comprehensive sensor monitoring is implemented, then measurement precision and reliability improve, but device complexity and loss of energy increase

Engineering Contradiction:

Improvepatient monitoring reliabilityVSAvoidsystem energy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by stationary object

Solution Approach 1:

The patent implements periodic sampling of physiological parameters rather than continuous monitoring. The sensors take measurements at predetermined intervals during exercise sessions, reducing energy consumption while maintaining sufficient data for reliable assessment. The processing device analyzes these periodic measurements to determine when treatment adjustments are needed.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20260024643A1Systems 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: 2026.01.22 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.