Physiological Signal Waveform Analysis for Dementia Risk Detection

Solution Overview

Problem

Current methods for detecting dementia risk are overly complex and difficult to implement, failing to effectively address the increasing incidence of dementia among the elderly population.

Innovation Solution

A method for analyzing signal waveforms, utilizing a processor to obtain and analyze physiological signals such as cerebrovascular resistance and cerebral blood flow velocity waveforms, calculating power ratios within specific frequency ranges, and performing statistical calculations to output results to a user interface, facilitating intuitive detection of abnormal risks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If current detection and measurement methods for dementia risk are used, then measurement precision may be maintained, but device complexity and ease of operation deteriorate significantly

Engineering Contradiction:

Improvedementia risk detection accuracyVSAvoiddetection method complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and focuses on a specific physiological indicator (cerebrovascular resistance) from among multiple possible measurement parameters. By isolating this single key indicator and developing a dedicated measurement method for it, the system achieves reliable dementia risk detection while avoiding the complexity of comprehensive multi-parameter assessment systems.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms complex physiological measurements into a simplified power ratio parameter through spectral analysis. By converting raw physiological signal data into a normalized power ratio metric, the system maintains measurement precision while dramatically simplifying the complexity of the detection methodology.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If current detection and measurement methods for dementia risk are used, then measurement precision may be maintained, but ease of operation deteriorates significantly

Engineering Contradiction:

Improvedementia risk detection accuracyVSAvoiddetection method usability

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent extracts and focuses on a specific physiological indicator (cerebrovascular resistance) from among multiple possible measurement parameters. By isolating this single key indicator and developing a dedicated measurement method for it, the system achieves reliable dementia risk detection while avoiding the complexity of comprehensive multi-parameter assessment systems.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms complex physiological measurements into a simplified power ratio parameter through spectral analysis. By converting raw physiological signal data into a normalized power ratio metric, the system maintains measurement precision while dramatically simplifying the complexity of the detection methodology.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If comprehensive physiological signal analysis is performed, then measurement precision improves, but loss of time increases due to complex processing

Engineering Contradiction:

Improvedementia risk detection accuracyVSAvoidsignal processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts and focuses on a specific physiological indicator (cerebrovascular resistance) from among multiple possible measurement parameters. By isolating this single key indicator and developing a dedicated measurement method for it, the system achieves reliable dementia risk detection while avoiding the complexity of comprehensive multi-parameter assessment systems.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies partial action by performing spectral analysis only on the specific frequency ranges relevant to cerebrovascular resistance (0.02-0.07 Hz for very low frequency and 0.07-0.2 Hz for low frequency). This selective approach maintains measurement precision for the target parameter while reducing overall processing time compared to full-spectrum analysis.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20240268767A1Method for analyzing signal waveform, electronic apparatus, and computer-readable recording medium

Publication Date: 2024.08.15 HU HAN-HWA

AI summary

A method for analyzing signal waveform, an electronic apparatus, and a computer-readable recording medium are provided. The method is described below. A physiological signal waveform is obtained. A section waveform is obtained by using a time segment every sampling interval from the physiological signal waveform, and a power ratio of the section waveform within the first frequency range and the second frequency range is calculated. A statistical calculation is performed for multiple power ratios corresponding to multiple section waveforms in multiple time sections obtained from the physiological signal waveform using the time segment. A statistical result of the statistical calculation is output to a user interface.