Wearable PPG Morphology Analysis for Precise Cardiovascular Age
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Solution Overview
Problem
Existing wearable devices are inadequate in determining cardiovascular health metrics from physiological data, lacking the ability to comprehensively understand the contributors to cardiovascular health.
Innovation Solution
The system receives physiological data from wearable devices, identifies morphological features of pulse waveforms, and compares them with baseline PPG signal morphologies associated with different chronological ages to determine a cardiovascular health metric.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If wearable devices collect physiological data including PPG data, then data collection capability is improved, but cardiovascular health metric determination capability remains deficient
Solution Approach 1:
The patent segments the cardiovascular health assessment into multiple independent morphological feature extractions from PPG waveforms, including peak detection, notching patterns, dicrotic wave identification, and timing interval measurements. Each feature is analyzed separately and then integrated to form a comprehensive cardiovascular age metric, resolving the contradiction between data quantity and metric precision
Solution Approach 2:
The patent introduces baseline PPG signal morphologies from multiple chronological age groups as an intermediary reference system. The user's PPG waveform features are compared against these age-specific baselines to determine cardiovascular age, enabling precise cardiovascular health metric determination from the collected physiological data
2Measurement precision
If the system compares PPG signal morphologies across multiple chronological ages, then cardiovascular health metric accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent performs preliminary segmentation of baseline PPG data into distinct chronological age groups and pre-calculates representative morphological features for each group before actual user assessment. This pre-processing creates ready-to-use reference profiles that simplify the real-time comparison process, reducing data processing complexity while maintaining high metric accuracy
Solution Approach 2:
The patent transforms the complex multi-dimensional PPG waveform data into a reduced set of key morphological parameters including peak amplitudes, notching positions, dicrotic wave characteristics, and timing intervals. This parameter transformation maintains the precision of cardiovascular health assessment while significantly reducing the computational complexity of comparing against multiple age groups
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a robust method for determining cardiovascular health metrics, enabling users to understand their cardiovascular health relative to their chronological age and receive personalized recommendations for improvement.
Implementation Method 1
Some wearable devices may be configured to collect physiological data associated with the cardiovascular health of a user, including photoplethysmogram (PPG) data
Data Source
AI summary
Methods, systems, and devices for cardiovascular health metric determination are described. A system may be configured to receive a photoplethysmogram (PPG) signal representative of a pulse waveform for a user. The pulse waveform may include a first local maximum, a downward slope following the first local maximum, and a curved feature representative of a transition from a systolic phase to a diastolic phase of a cardiac cycle. Additionally, the system may extract one or more morphological features from the pulse waveform and compare the one or more morphological features with one or more features from a plurality of baseline PPG signal morphologies associated with a plurality of chronological ages. The system may determine a cardiovascular health metric that indicates a cardiovascular health of the user relative to a chronological age of the user and cause a graphical user interface to display an indication of the cardiovascular health metric.