Selective Health Data Activation for Energy and Privacy Control

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Solution Overview

Problem

Continuous health data collection by devices leads to high energy consumption, storage space utilization, and increased data privacy risks, particularly due to the constant generation of redundant information and vulnerability to breaches.

Innovation Solution

Implementing a system that selectively activates health monitoring devices during health-condition-specific circumstances, using a machine learning model to assess health status based on both non-medical and medical grade data, and deactivating devices during other times, thereby reducing data collection and conserving resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If health monitoring devices constantly collect data, then health status assessment accuracy is improved, but energy consumption increases

Engineering Contradiction:

Improvehealth status assessment accuracyVSAvoiddevice energy consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system implements periodic data collection by activating monitoring devices only during specific health-condition circumstances rather than continuously. The processor determines when to activate devices based on assessed health conditions, creating a periodic rather than continuous operation pattern that reduces energy consumption while maintaining assessment accuracy during critical periods.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system dynamically adjusts device activation states based on real-time health condition assessments. The processor continuously evaluates health conditions and dynamically switches devices between active and inactive states, optimizing the balance between data collection quality and energy consumption based on current physiological needs.

Inventive Principle:

Principle #15Dynamics

2Loss of information

If health monitoring devices constantly collect data, then health status assessment completeness is improved, but storage space consumption increases

Engineering Contradiction:

Improvehealth data completenessVSAvoidstorage space utilization

Core Design Contradiction:

Loss of informationVSVolume of stationary object

Solution Approach 1:

The system extracts and collects only the specific health data necessary for assessing particular health conditions rather than continuously collecting all possible health parameters. By selectively activating devices based on determined health conditions, the system captures only relevant data, reducing storage requirements while maintaining assessment completeness for the conditions being monitored.

Inventive Principle:

Principle #2Taking out (Extraction)

3Speed

If health monitoring devices constantly transmit data, then real-time health monitoring capability is improved, but bandwidth consumption increases

Engineering Contradiction:

Improvereal-time monitoring response speedVSAvoidbandwidth energy consumption

Core Design Contradiction:

SpeedVSLoss of energy

Solution Approach 1:

The system transmits health data periodically rather than continuously, activating data transmission only when devices are activated during health-condition circumstances. This periodic transmission approach maintains real-time monitoring capability during critical periods while significantly reducing overall bandwidth consumption during non-critical periods when devices remain inactive.

Inventive Principle:

Principle #19Periodic action

4Reliability

If health monitoring devices constantly collect data, then health condition detection capability is improved, but data privacy breach risk increases

Engineering Contradiction:

Improvehealth condition detection reliabilityVSAvoiddata privacy breach vulnerability

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system extracts and collects only the minimum necessary health data required to assess specific health conditions rather than continuously collecting comprehensive health information. By selectively activating monitoring devices based on determined health conditions, the system reduces the volume of sensitive data stored and transmitted, thereby reducing privacy breach vulnerability while maintaining sufficient detection reliability for the targeted health conditions.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12525352B2Selective data generation, transmission and processing

Publication Date: 2026.01.13 HEARTPASS TECHNOLOGIES INC

AI summary

This disclosure relates to selective data generation, transmission and processing in customized healthcare services. In some aspects, a method includes determining one or more conditions for collecting a user's health data to assess the user's health status; determining that the one or more conditions are satisfies based on a first set of data from a first set of devices; in response to determining that the one or more conditions are satisfied, activating a second set of devices configured to monitor and collect the user's health data; receiving a second set of data from the second set of devices; assessing the user's health status using a machine learning model based on the first set of data and the second set of data; and generating and outputting for display a report including assessment results of the user's health status.